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Advanced Message Queuing Protocol - Wikipedia</description>
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Agena.ai

Agena.ai is an advanced platform specializing in probabilistic reasoning and decision-making through the application of Bayesian networks and other data-driven methodologies. Designed to help organizations tackle complex problems, it combines state-of-the-art machine learning with human-centric decision support tools, enabling users to analyze</description>
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Agent-based modeling (ABM)

Agent-based modeling (ABM) is a computational modeling approach that simulates the interactions of individual entities, known as agents, within a defined environment. Each agent operates autonomously and follows a set of rules that govern its behavior, interactions, and decisions. These rules can range from simple, deterministic actions to complex, adaptive behaviors influenced by the agent&#039;s state and its surroundings.</description>
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AnythingLLM

AnythingLLM is an open-source platform designed to enhance interactions with large language models (LLMs) by enabling tailored deployments and management of private LLMs. Focused on versatility and security, AnythingLLM allows users to fine-tune LLMs on specific datasets or domains, ensuring more precise and contextualized responses. This makes it an ideal solution for organizations and developers aiming to leverage the power of AI while maintaining full control over…</description>
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ActiveMQ</description>
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Apache Airflow

Apache Airflow is an open-source platform designed for orchestrating and automating workflows. Developed to manage complex data pipelines, Airflow allows users to define workflows as code, making them dynamic, maintainable, and extensible. Its scalable architecture and modular design cater to a wide range of use cases, from small projects to enterprise-level deployments.</description>
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Apache APISIX

Apache APISIX is an open-source, cloud-native API gateway and microservices management platform designed for high performance, scalability, and flexibility. Built to handle real-time traffic, APISIX supports features such as dynamic routing, load balancing, authentication, and</description>
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Apache Flink

Apache Flink is an open-source framework and distributed processing engine designed to handle large-scale data streaming and batch processing with exceptional performance and low latency. Renowned for its ability to manage continuous streams of events, Flink is ideal for building real-time analytics</description>
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Apache hadoop

Apache Hadoop is an open-source framework designed for distributed storage and processing of large-scale datasets. It is a cornerstone technology for big data analytics, enabling organizations to manage and analyze vast amounts of structured and unstructured data efficiently. Developed by the Apache Software Foundation, Hadoop is widely adopted across industries for its scalability, reliability, and cost-effectiveness.</description>
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Apache Kafka

Apache Kafka is an open-source, distributed event streaming platform designed to manage high-throughput, real-time data processing. Originally developed by LinkedIn and now maintained by the Apache Software Foundation, Kafka has become a cornerstone technology for building robust data pipelines, real-time analytics, and</description>
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Apache NiFi

Apache NiFi is an open-source data integration and workflow automation tool designed to simplify the collection, transformation, and movement of data across diverse systems. Developed by the Apache Software Foundation, NiFi offers a user-friendly, drag-and-drop interface for designing data flows, making it accessible to both developers and non-technical users.</description>
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Home - Apache Qpid™</description>
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        <description>apache open-source big-data

Apache Spark

Apache Spark is an open-source, unified analytics engine designed for large-scale data processing. Renowned for its speed, scalability, and ease of use, Spark has become a cornerstone technology for handling big data across industries such as finance, healthcare, and machine learning. Originally developed at UC Berkeley&#039;s AMPLab</description>
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Apache Syncope

Apache Syncope – Apache Syncope</description>
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        <title>barman</title>
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        <description>open-source

Barman

Barman (Backup and Recovery Manager) is an open-source tool specifically designed for managing backups and recovery of PostgreSQL databases. Developed by EnterpriseDB, Barman provides a robust and efficient solution for disaster recovery, ensuring database administrators can secure critical data and maintain business continuity in the face of failures or data loss.</description>
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        <title>bayesian_network</title>
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        <description>bayesian

Bayesian network

Bayesian Networks (BNs) are probabilistic graphical models that represent a set of variables and their conditional dependencies using a directed acyclic graph (DAG). In these models, each node corresponds to a variable (discrete or continuous), and the edges between nodes represent causal or probabilistic dependencies. Bayesian networks leverage</description>
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        <description>Bun

​Bun is an open-source JavaScript runtime and toolkit designed to streamline and accelerate the development of JavaScript and TypeScript applications. Developed by Oven, Bun serves as a drop-in replacement for Node.js, offering a comprehensive suite of tools—including a bundler, test runner, and package manager—all within a single executable. It leverages</description>
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        <title>causal_inference</title>
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        <description>statistics data-science

Causal inference

Causal Inference is a branch of statistics and data science focused on identifying and quantifying causal relationships between variables, moving beyond mere correlation to understand how changes in one variable directly affect another. This understanding is crucial across fields like</description>
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        <dc:format>text/html</dc:format>
        <dc:date>2025-01-26T23:51:02+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>causalml</title>
        <link>https://www.wiki.steeve.ca/causalml?rev=1737935462&amp;do=diff</link>
        <description>CausalML

CausalML is an open-source Python library designed to support uplift modeling and causal inference in data science. Developed for researchers and practitioners, it provides tools to estimate causal effects and understand the impact of interventions using advanced machine learning techniques. The library simplifies the implementation of methods like</description>
    </item>
    <item rdf:about="https://www.wiki.steeve.ca/chart.js?rev=1737414990&amp;do=diff">
        <dc:format>text/html</dc:format>
        <dc:date>2025-01-20T23:16:30+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>chart.js</title>
        <link>https://www.wiki.steeve.ca/chart.js?rev=1737414990&amp;do=diff</link>
        <description>open-source

Chart.js

Chart.js is a lightweight, open-source JavaScript library designed for creating responsive, customizable, and interactive data visualizations in web applications. It leverages HTML5 Canvas for rendering, ensuring high performance and smooth animations. Widely used by developers, Chart.js simplifies the process of integrating visually appealing and functional charts into projects.</description>
    </item>
    <item rdf:about="https://www.wiki.steeve.ca/content_alpha?rev=1737656138&amp;do=diff">
        <dc:format>text/html</dc:format>
        <dc:date>2025-01-23T18:15:38+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>content_alpha</title>
        <link>https://www.wiki.steeve.ca/content_alpha?rev=1737656138&amp;do=diff</link>
        <description>Content in Alphabetical Order



Pages in this namespace:

	* Advanced Message Queuing Protocol
	* Agena.ai
	* Agent-based modeling (ABM)
	* AnythingLLM
	* Apache ActiveMQ
	* Apache Airflow
	* Apache APISIX
	* Apache Flink
	* Apache hadoop
	* Apache Kafka
	* Apache NiFi
	* Apache Qpid
	* Apache Spark
	* Apache Syncope
	* Barman
	* Bayesian network
	* Bun
	* Causal inference
	* CausalML
	* Chart.js
	* D3.js
	* Deep Learning
	* DeepMind
	* DesInventar
	* Disaster Management
	* Disaster Risk Manage…</description>
    </item>
    <item rdf:about="https://www.wiki.steeve.ca/d3.js?rev=1737570155&amp;do=diff">
        <dc:format>text/html</dc:format>
        <dc:date>2025-01-22T18:22:35+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>d3.js</title>
        <link>https://www.wiki.steeve.ca/d3.js?rev=1737570155&amp;do=diff</link>
        <description>D3.js

D3.js (Data-Driven Documents) is a JavaScript library for creating dynamic, interactive, and visually appealing data visualizations. Built using modern web standards like HTML, SVG, and CSS, it allows developers to bind data directly to the Document Object Model (</description>
    </item>
    <item rdf:about="https://www.wiki.steeve.ca/deep_learning?rev=1737837236&amp;do=diff">
        <dc:format>text/html</dc:format>
        <dc:date>2025-01-25T20:33:56+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>deep_learning</title>
        <link>https://www.wiki.steeve.ca/deep_learning?rev=1737837236&amp;do=diff</link>
        <description>ai

Deep Learning

Deep Learning is a subset of machine learning and artificial intelligence (AI) that mimics the structure and functionality of the human brain through artificial neural networks. These networks, often consisting of multiple layers, are capable of learning and making predictions or decisions based on large and complex datasets.</description>
    </item>
    <item rdf:about="https://www.wiki.steeve.ca/deepmind?rev=1737945611&amp;do=diff">
        <dc:format>text/html</dc:format>
        <dc:date>2025-01-27T02:40:11+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>deepmind</title>
        <link>https://www.wiki.steeve.ca/deepmind?rev=1737945611&amp;do=diff</link>
        <description>ai

DeepMind

DeepMind is a leading artificial intelligence research company and an independent subsidiary of Alphabet Inc., Google’s parent company. Founded in 2010 and acquired by Google in 2014, DeepMind is renowned for its breakthroughs in AI research and applications, particularly in areas such as reinforcement learning, deep learning, and AI safety.</description>
    </item>
    <item rdf:about="https://www.wiki.steeve.ca/desinventar?rev=1737571222&amp;do=diff">
        <dc:format>text/html</dc:format>
        <dc:date>2025-01-22T18:40:22+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>desinventar</title>
        <link>https://www.wiki.steeve.ca/desinventar?rev=1737571222&amp;do=diff</link>
        <description>open-source

DesInventar

DesInventar is a robust disaster inventory and management platform designed to provide comprehensive insights into the occurrence, impact, and trends of disasters across the globe. It was developed by a collaborative network of researchers, institutions, and governments to systematically collect, standardize, and analyze disaster-related data at local, regional, and global levels.</description>
    </item>
    <item rdf:about="https://www.wiki.steeve.ca/disaster_management?rev=1737568089&amp;do=diff">
        <dc:format>text/html</dc:format>
        <dc:date>2025-01-22T17:48:09+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>disaster_management</title>
        <link>https://www.wiki.steeve.ca/disaster_management?rev=1737568089&amp;do=diff</link>
        <description>Disaster Management</description>
    </item>
    <item rdf:about="https://www.wiki.steeve.ca/disaster_risk_management_knowledge_centre?rev=1737255099&amp;do=diff">
        <dc:format>text/html</dc:format>
        <dc:date>2025-01-19T02:51:39+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>disaster_risk_management_knowledge_centre</title>
        <link>https://www.wiki.steeve.ca/disaster_risk_management_knowledge_centre?rev=1737255099&amp;do=diff</link>
        <description>Disaster Risk Management Knowledge Centre

The Disaster Risk Management Knowledge Centre (DRMKC) , hosted by the European Commission&#039;s Joint Research Centre (JRC), is a central hub for scientific knowledge and expertise on disaster risk management. Established to enhance disaster resilience and response capabilities across Europe and beyond, the DRMKC fosters collaboration between</description>
    </item>
    <item rdf:about="https://www.wiki.steeve.ca/discrete_event_simulation?rev=1737568064&amp;do=diff">
        <dc:format>text/html</dc:format>
        <dc:date>2025-01-22T17:47:44+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>discrete_event_simulation</title>
        <link>https://www.wiki.steeve.ca/discrete_event_simulation?rev=1737568064&amp;do=diff</link>
        <description>Discrete Event Simulation</description>
    </item>
    <item rdf:about="https://www.wiki.steeve.ca/dowhy?rev=1737572760&amp;do=diff">
        <dc:format>text/html</dc:format>
        <dc:date>2025-01-22T19:06:00+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>dowhy</title>
        <link>https://www.wiki.steeve.ca/dowhy?rev=1737572760&amp;do=diff</link>
        <description>library open-source python

DoWhy

DoWhy is an open-source Python library designed to simplify causal inference, enabling researchers and developers to identify and understand cause-and-effect relationships in data. By leveraging principles of modern causal inference, DoWhy offers a structured and transparent framework for defining causal models, estimating causal effects, and validating assumptions.</description>
    </item>
    <item rdf:about="https://www.wiki.steeve.ca/dozzle?rev=1738601158&amp;do=diff">
        <dc:format>text/html</dc:format>
        <dc:date>2025-02-03T16:45:58+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>dozzle</title>
        <link>https://www.wiki.steeve.ca/dozzle?rev=1738601158&amp;do=diff</link>
        <description>Dozzle

Home | Dozzle

GitHub - amir20/dozzle: Realtime log viewer for docker containers.</description>
    </item>
    <item rdf:about="https://www.wiki.steeve.ca/elastic?rev=1737657140&amp;do=diff">
        <dc:format>text/html</dc:format>
        <dc:date>2025-01-23T18:32:20+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>elastic</title>
        <link>https://www.wiki.steeve.ca/elastic?rev=1737657140&amp;do=diff</link>
        <description>Elastic

Elastic is an open-source search and analytics platform best known for its Elastic Stack, a suite of tools designed to search, analyze, and visualize data. Elastic’s core product, Elasticsearch, is a distributed, RESTful search engine capable of handling structured and unstructured data in real-time. It powers a wide range of applications, including website search, application performance monitoring, and security analytics.</description>
    </item>
    <item rdf:about="https://www.wiki.steeve.ca/em-dat?rev=1737673246&amp;do=diff">
        <dc:format>text/html</dc:format>
        <dc:date>2025-01-23T23:00:46+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>em-dat</title>
        <link>https://www.wiki.steeve.ca/em-dat?rev=1737673246&amp;do=diff</link>
        <description>EM-DAT

EM-DAT, managed by the Centre for Research on the Epidemiology of Disasters (CRED), is a global database that tracks and documents disasters. Established in 1988, EM-DAT provides reliable and historical data to improve decision-making for disaster preparedness, mitigation, and response efforts. It serves as a critical resource for researchers, policymakers, and humanitarian organizations worldwide.</description>
    </item>
    <item rdf:about="https://www.wiki.steeve.ca/fast_api?rev=1740336447&amp;do=diff">
        <dc:format>text/html</dc:format>
        <dc:date>2025-02-23T18:47:27+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>fast_api</title>
        <link>https://www.wiki.steeve.ca/fast_api?rev=1740336447&amp;do=diff</link>
        <description>api python

Fast API

FastAPI is a modern, high-performance web framework for building APIs using Python. It is designed around Python type hints, enabling automatic validation, serialization, and seamless integration of interactive API documentation through OpenAPI and JSON Schema. FastAPI simplifies the development process, allowing developers to create robust, production-ready APIs quickly while leveraging asynchronous programming for exceptional performance.</description>
    </item>
    <item rdf:about="https://www.wiki.steeve.ca/flask?rev=1744775764&amp;do=diff">
        <dc:format>text/html</dc:format>
        <dc:date>2025-04-16T03:56:04+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>flask</title>
        <link>https://www.wiki.steeve.ca/flask?rev=1744775764&amp;do=diff</link>
        <description>Flask

Flask is a lightweight and flexible web application framework written in Python. Created by Armin Ronacher as part of the Pallets project, Flask is designed to be simple, unopinionated, and easy to extend—making it ideal for building APIs, microservices, and small-to-medium web applications.</description>
    </item>
    <item rdf:about="https://www.wiki.steeve.ca/gama_platform?rev=1744775499&amp;do=diff">
        <dc:format>text/html</dc:format>
        <dc:date>2025-04-16T03:51:39+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>gama_platform</title>
        <link>https://www.wiki.steeve.ca/gama_platform?rev=1744775499&amp;do=diff</link>
        <description>open-source abm

Gama Platform

GAMA Platform (GIS Agent-based Modeling Architecture) is an open-source, spatially explicit agent-based modeling (ABM) and simulation platform. It is developed to allow researchers, analysts, and decision-makers to create complex models of socio-environmental systems with a focus on</description>
    </item>
    <item rdf:about="https://www.wiki.steeve.ca/generative_ai?rev=1744775926&amp;do=diff">
        <dc:format>text/html</dc:format>
        <dc:date>2025-04-16T03:58:46+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>generative_ai</title>
        <link>https://www.wiki.steeve.ca/generative_ai?rev=1744775926&amp;do=diff</link>
        <description>ai

Generative AI

Generative Artificial Intelligence refers to a category of AI systems designed to create new content, such as text, images, audio, video, or code. Unlike traditional AI, which focuses on analyzing data and making predictions, generative AI models learn patterns from existing data and use these patterns to generate outputs that mimic human creativity.</description>
    </item>
    <item rdf:about="https://www.wiki.steeve.ca/glossary?rev=1737948169&amp;do=diff">
        <dc:format>text/html</dc:format>
        <dc:date>2025-01-27T03:22:49+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>glossary</title>
        <link>https://www.wiki.steeve.ca/glossary?rev=1737948169&amp;do=diff</link>
        <description>Glossary

A

	*  Agent-Based Modeling (ABM):A simulation method where individual entities (agents) act and interact according to predefined rules.
	*  Algorithm:  A set of rules or instructions for solving a problem or performing a task, often used in programming and AI.</description>
    </item>
    <item rdf:about="https://www.wiki.steeve.ca/grafana?rev=1737815781&amp;do=diff">
        <dc:format>text/html</dc:format>
        <dc:date>2025-01-25T14:36:21+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>grafana</title>
        <link>https://www.wiki.steeve.ca/grafana?rev=1737815781&amp;do=diff</link>
        <description>open-source analytics

Grafana

Grafana is an open-source platform for analytics and data visualization, designed to help users monitor, query, and analyze real-time data from multiple sources. Known for its intuitive interface and versatility, Grafana allows users to create highly interactive, customizable dashboards to visualize metrics, logs, and traces. It is widely used in</description>
    </item>
    <item rdf:about="https://www.wiki.steeve.ca/gym?rev=1737489070&amp;do=diff">
        <dc:format>text/html</dc:format>
        <dc:date>2025-01-21T19:51:10+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>gym</title>
        <link>https://www.wiki.steeve.ca/gym?rev=1737489070&amp;do=diff</link>
        <description>open-source

Gym

Gym is an open-source toolkit designed to facilitate the development and comparison of reinforcement learning  (RL) algorithms. Originally developed by OpenAI , Gym has become a foundational resource in the reinforcement learning community, providing a standardized interface for creating and interacting with a diverse collection of RL environments. It enables researchers and developers to build, test, and benchmark RL agents efficiently.</description>
    </item>
    <item rdf:about="https://www.wiki.steeve.ca/hugging_face?rev=1739323731&amp;do=diff">
        <dc:format>text/html</dc:format>
        <dc:date>2025-02-12T01:28:51+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>hugging_face</title>
        <link>https://www.wiki.steeve.ca/hugging_face?rev=1739323731&amp;do=diff</link>
        <description>open-source ai

Hugging Face

Hugging Face is an open-source platform and a leader in natural language processing (NLP) and artificial intelligence (AI). It provides a comprehensive suite of tools, libraries, and pre-trained models designed to simplify the development of state-of-the-art AI applications. With its flagship library, Transformers, Hugging Face supports tasks such as</description>
    </item>
    <item rdf:about="https://www.wiki.steeve.ca/jaeger?rev=1737489640&amp;do=diff">
        <dc:format>text/html</dc:format>
        <dc:date>2025-01-21T20:00:40+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>jaeger</title>
        <link>https://www.wiki.steeve.ca/jaeger?rev=1737489640&amp;do=diff</link>
        <description>open-source

Jaeger

Jaeger is an open-source, end-to-end distributed tracing system designed to monitor and troubleshoot complex, microservices-based architectures. Originally developed by Uber and now a part of the Cloud Native Computing Foundation (CNCF), Jaeger provides powerful tools for visualizing and analyzing the flow of requests across distributed systems. It helps identify performance bottlenecks, latency issues, and errors, making it essential for developers and DevOps teams managing…</description>
    </item>
    <item rdf:about="https://www.wiki.steeve.ca/jinja?rev=1743623071&amp;do=diff">
        <dc:format>text/html</dc:format>
        <dc:date>2025-04-02T19:44:31+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>jinja</title>
        <link>https://www.wiki.steeve.ca/jinja?rev=1743623071&amp;do=diff</link>
        <description>Jinja

Jinja — Jinja Documentation (3.1.x)</description>
    </item>
    <item rdf:about="https://www.wiki.steeve.ca/json_web_tokens?rev=1740324491&amp;do=diff">
        <dc:format>text/html</dc:format>
        <dc:date>2025-02-23T15:28:11+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>json_web_tokens</title>
        <link>https://www.wiki.steeve.ca/json_web_tokens?rev=1740324491&amp;do=diff</link>
        <description>JSON Web Tokens

JSON Web Token Introduction - jwt.io</description>
    </item>
    <item rdf:about="https://www.wiki.steeve.ca/jupyter?rev=1737816131&amp;do=diff">
        <dc:format>text/html</dc:format>
        <dc:date>2025-01-25T14:42:11+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>jupyter</title>
        <link>https://www.wiki.steeve.ca/jupyter?rev=1737816131&amp;do=diff</link>
        <description>data-science open-source

Jupyter

Jupyter is an open-source platform designed to provide an interactive environment for creating and sharing documents that combine live code, equations, visualizations, and narrative text. Known for its flexibility and collaborative features, Jupyter is extensively used in</description>
    </item>
    <item rdf:about="https://www.wiki.steeve.ca/keycloak?rev=1739322672&amp;do=diff">
        <dc:format>text/html</dc:format>
        <dc:date>2025-02-12T01:11:12+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>keycloak</title>
        <link>https://www.wiki.steeve.ca/keycloak?rev=1739322672&amp;do=diff</link>
        <description>open-source

Keycloak

Keycloak is an open-source identity and access management (IAM) solution developed by Red Hat. It simplifies authentication and authorization for applications and services by providing a centralized system to manage user access securely. Designed with developers and enterprises in mind, Keycloak supports modern standards such as</description>
    </item>
    <item rdf:about="https://www.wiki.steeve.ca/kong_gateway?rev=1737493104&amp;do=diff">
        <dc:format>text/html</dc:format>
        <dc:date>2025-01-21T20:58:24+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>kong_gateway</title>
        <link>https://www.wiki.steeve.ca/kong_gateway?rev=1737493104&amp;do=diff</link>
        <description>api

Kong Gateway

Kong Gateway is a high-performance, cloud-native API gateway designed to streamline the management, security, and optimization of APIs and microservices. Built for modern distributed architectures, Kong Gateway provides a robust solution for handling</description>
    </item>
    <item rdf:about="https://www.wiki.steeve.ca/large_language_model?rev=1737946644&amp;do=diff">
        <dc:format>text/html</dc:format>
        <dc:date>2025-01-27T02:57:24+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>large_language_model</title>
        <link>https://www.wiki.steeve.ca/large_language_model?rev=1737946644&amp;do=diff</link>
        <description>Large Language Model

Large Language Models (LLMs) are advanced artificial intelligence systems designed to understand and generate human-like text by processing large amounts of natural language data. These models leverage deep learning techniques, particularly transformer architectures</description>
    </item>
    <item rdf:about="https://www.wiki.steeve.ca/leaflet?rev=1737817050&amp;do=diff">
        <dc:format>text/html</dc:format>
        <dc:date>2025-01-25T14:57:30+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>leaflet</title>
        <link>https://www.wiki.steeve.ca/leaflet?rev=1737817050&amp;do=diff</link>
        <description>library open-source java_script

Leaflet

Leaflet is an open-source JavaScript library designed for creating interactive, mobile-friendly maps for web applications. Lightweight and simple to use, Leaflet provides developers with tools to build dynamic map interfaces that work seamlessly across devices and browsers. Its small size and focus on usability have made it one of the most popular libraries for web-based mapping.</description>
    </item>
    <item rdf:about="https://www.wiki.steeve.ca/lm_studio?rev=1737666963&amp;do=diff">
        <dc:format>text/html</dc:format>
        <dc:date>2025-01-23T21:16:03+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>lm_studio</title>
        <link>https://www.wiki.steeve.ca/lm_studio?rev=1737666963&amp;do=diff</link>
        <description>ai large_language_models open-source application

LM Studio

LM Studio is an open-source desktop application designed to simplify running and managing large language models (LLMs) on local machines. It offers an intuitive interface for loading, configuring, and interacting with various LLMs, eliminating the need for cloud-based services and providing enhanced privacy and control over data.</description>
    </item>
    <item rdf:about="https://www.wiki.steeve.ca/machine_learning?rev=1738723333&amp;do=diff">
        <dc:format>text/html</dc:format>
        <dc:date>2025-02-05T02:42:13+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>machine_learning</title>
        <link>https://www.wiki.steeve.ca/machine_learning?rev=1738723333&amp;do=diff</link>
        <description>ai machine_learning

Machine Learning

Machine learning (ML) is a branch of artificial intelligence (AI) that focuses on creating systems capable of learning and improving from experience without explicit programming. These systems analyze and identify patterns in data, enabling them to make predictions or decisions. The underlying principle is that machines can learn from data to perform tasks more efficiently as they process more information.</description>
    </item>
    <item rdf:about="https://www.wiki.steeve.ca/matsim?rev=1744720938&amp;do=diff">
        <dc:format>text/html</dc:format>
        <dc:date>2025-04-15T12:42:18+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>matsim</title>
        <link>https://www.wiki.steeve.ca/matsim?rev=1744720938&amp;do=diff</link>
        <description>open-source

MATSim

MATSim (Multi-Agent Transport Simulation) is an open-source, Java-based framework for building large-scale agent-based transport simulations. It is designed to simulate the daily mobility behavior of individuals within urban and regional transportation systems, making it ideal for researchers, planners, and engineers working in the field of</description>
    </item>
    <item rdf:about="https://www.wiki.steeve.ca/mesa?rev=1743623132&amp;do=diff">
        <dc:format>text/html</dc:format>
        <dc:date>2025-04-02T19:45:32+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>mesa</title>
        <link>https://www.wiki.steeve.ca/mesa?rev=1743623132&amp;do=diff</link>
        <description>Mesa

Mesa: Agent-based modeling in Python — Mesa .1 documentation</description>
    </item>
    <item rdf:about="https://www.wiki.steeve.ca/netlogo?rev=1737422872&amp;do=diff">
        <dc:format>text/html</dc:format>
        <dc:date>2025-01-21T01:27:52+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>netlogo</title>
        <link>https://www.wiki.steeve.ca/netlogo?rev=1737422872&amp;do=diff</link>
        <description>NetLogo

NetLogo is an open-source, multi-agent programmable modeling environment designed for simulating and analyzing complex systems and their interactions. Developed at the Center for Connected Learning and Computer-Based Modeling at Northwestern University, it is widely used in education, research, and professional environments to study the emergent behaviors of systems based on individual agent interactions. NetLogo is especially suitable for exploring biological, social, economic, and phy…</description>
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    <item rdf:about="https://www.wiki.steeve.ca/nodejs?rev=1737947237&amp;do=diff">
        <dc:format>text/html</dc:format>
        <dc:date>2025-01-27T03:07:17+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>nodejs</title>
        <link>https://www.wiki.steeve.ca/nodejs?rev=1737947237&amp;do=diff</link>
        <description>java_script open-source

Node.js

Node.js is an open-source, cross-platform JavaScript runtime built on Google&#039;s V8 JavaScript engine. Designed to execute JavaScript code server-side, Node.js enables developers to build scalable, high-performance web applications, APIs, and services.

Released in 2009, Node.js revolutionized web development by allowing JavaScript, traditionally confined to browsers, to be used for server-side programming. Its event-driven, non-blocking I/O model makes it lightwe…</description>
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    <item rdf:about="https://www.wiki.steeve.ca/ollama?rev=1737420522&amp;do=diff">
        <dc:format>text/html</dc:format>
        <dc:date>2025-01-21T00:48:42+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>ollama</title>
        <link>https://www.wiki.steeve.ca/ollama?rev=1737420522&amp;do=diff</link>
        <description>ai large_language_models

Ollama

Ollama is a platform designed to simplify the use and deployment of large language models (LLMs) for a wide range of applications. By focusing on accessibility and efficiency, Ollama enables developers and organizations to leverage advanced artificial intelligence (AI) models locally or within controlled environments, ensuring</description>
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    <item rdf:about="https://www.wiki.steeve.ca/openid?rev=1739153551&amp;do=diff">
        <dc:format>text/html</dc:format>
        <dc:date>2025-02-10T02:12:31+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>openid</title>
        <link>https://www.wiki.steeve.ca/openid?rev=1739153551&amp;do=diff</link>
        <description>open-source

OpenID

Description/Overview

OpenID is an open standard and decentralized authentication protocol that allows users to log into multiple websites using a single set of credentials. Instead of creating separate usernames and passwords for different sites, users can authenticate via an</description>
    </item>
    <item rdf:about="https://www.wiki.steeve.ca/openmarkov?rev=1737420441&amp;do=diff">
        <dc:format>text/html</dc:format>
        <dc:date>2025-01-21T00:47:21+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>openmarkov</title>
        <link>https://www.wiki.steeve.ca/openmarkov?rev=1737420441&amp;do=diff</link>
        <description>bayesian open-source probabilistic

OpenMarkov

OpenMarkov is an open-source software application designed to create, analyze, and interpret probabilistic graphical models. These include bayesian_network, influence diagrams, and decision analysis models. It serves as a powerful tool for decision-making, risk analysis, and diagnosis, enabling users to model uncertainty and explore complex relationships in various domains.</description>
    </item>
    <item rdf:about="https://www.wiki.steeve.ca/openvr?rev=1739153160&amp;do=diff">
        <dc:format>text/html</dc:format>
        <dc:date>2025-02-10T02:06:00+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>openvr</title>
        <link>https://www.wiki.steeve.ca/openvr?rev=1739153160&amp;do=diff</link>
        <description>api virtual_reality vr sdk

OpenVR

Description/Overview

OpenVR is a software development kit (SDK) and application programming interface (API) developed by Valve Corporation to support SteamVR and various virtual reality (VR) hardware devices. It acts as an intermediary between VR applications and VR hardware</description>
    </item>
    <item rdf:about="https://www.wiki.steeve.ca/openxr?rev=1739152891&amp;do=diff">
        <dc:format>text/html</dc:format>
        <dc:date>2025-02-10T02:01:31+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>openxr</title>
        <link>https://www.wiki.steeve.ca/openxr?rev=1739152891&amp;do=diff</link>
        <description>open-source virtual_reality vr

OpenXR

Description/Overview

OpenXRis an open-source, royalty-free standard developed by the Khronos Group to provide a unified API for virtual reality (VR) and augmented reality (AR) platforms. It eliminates fragmentation in the extended reality (XR) industry by allowing developers to build applications that work seamlessly across different VR and AR hardware without requiring platform-specific modifications.</description>
    </item>
    <item rdf:about="https://www.wiki.steeve.ca/pgmpy?rev=1737232975&amp;do=diff">
        <dc:format>text/html</dc:format>
        <dc:date>2025-01-18T20:42:55+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>pgmpy</title>
        <link>https://www.wiki.steeve.ca/pgmpy?rev=1737232975&amp;do=diff</link>
        <description>library open-source probabilistic python

pgmpy

pgmpy is an open-source Pythonlibrary designed for working with probabilistic graphical models (PGMs), a framework for representing and reasoning about uncertain relationships between variables. These models are widely used in fields such as machine learning, statistics, and artificial intelligenceto perform tasks like inference, learning, and decision-making.</description>
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        <dc:format>text/html</dc:format>
        <dc:date>2025-02-10T22:36:40+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>postgis</title>
        <link>https://www.wiki.steeve.ca/postgis?rev=1739227000&amp;do=diff</link>
        <description>open-source gis

PostGIS

PostGIS is an open-source spatial database extension for PostgreSQL that provides advanced geographic information system (GIS) capabilities. By adding support for geographic objects and spatial queries, PostGIS transforms PostgreSQL into a powerful platform for storing, analyzing, and managing geospatial data. Its integration with PostgreSQL allows users to handle spatial and non-spatial data within a unified database system, eliminating the need for external GIS-specif…</description>
    </item>
    <item rdf:about="https://www.wiki.steeve.ca/probabilistic_programming_and_bayesian_methods_for_hackers?rev=1737937518&amp;do=diff">
        <dc:format>text/html</dc:format>
        <dc:date>2025-01-27T00:25:18+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>probabilistic_programming_and_bayesian_methods_for_hackers</title>
        <link>https://www.wiki.steeve.ca/probabilistic_programming_and_bayesian_methods_for_hackers?rev=1737937518&amp;do=diff</link>
        <description>bayesian open-source book

Probabilistic Programming and Bayesian Methods for Hackers

Probabilistic Programming and Bayesian Methods for Hackers is an open-source book that provides an intuitive, hands-on introduction to Bayesian inference and probabilistic programming. Using Python-based tools such as PyMC and ArviZ, the book aims to make Bayesian statistics accessible to developers, data scientists, and researchers without requiring an extensive mathematical background.</description>
    </item>
    <item rdf:about="https://www.wiki.steeve.ca/pymc?rev=1737817585&amp;do=diff">
        <dc:format>text/html</dc:format>
        <dc:date>2025-01-25T15:06:25+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>pymc</title>
        <link>https://www.wiki.steeve.ca/pymc?rev=1737817585&amp;do=diff</link>
        <description>library open-source probabilistic python bayesian

PyMC

PyMC is an open-source Python library for probabilistic programming and Bayesian inference. It empowers users to build sophisticated statistical models with an intuitive and expressive syntax while leveraging advanced inference algorithms to estimate uncertainties. Widely adopted by researchers, data scientists, and statisticians, PyMC is instrumental in analyzing data, quantifying uncertainty, and making informed, data-driven decisions ac…</description>
    </item>
    <item rdf:about="https://www.wiki.steeve.ca/pyro?rev=1737817184&amp;do=diff">
        <dc:format>text/html</dc:format>
        <dc:date>2025-01-25T14:59:44+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>pyro</title>
        <link>https://www.wiki.steeve.ca/pyro?rev=1737817184&amp;do=diff</link>
        <description>bayesian library open-source probabilistic

Pyro

Pyro is an open-source probabilistic programming library built on Pytorch. Developed by Uber AI Labs, Pyro is designed to enable the development of scalable and flexible probabilistic models. It is tailored for applications in probabilistic machine learning, Bayesian inference, and</description>
    </item>
    <item rdf:about="https://www.wiki.steeve.ca/pytorch?rev=1737417427&amp;do=diff">
        <dc:format>text/html</dc:format>
        <dc:date>2025-01-20T23:57:07+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>pytorch</title>
        <link>https://www.wiki.steeve.ca/pytorch?rev=1737417427&amp;do=diff</link>
        <description>ai open-source

PyTorch

PyTorch is an open-source machine learning framework developed by Facebook AI Research (FAIR), designed for building and training deep learning models. Known for its flexibility, scalability, and user-friendly interface, PyTorch is widely used by researchers, developers, and industry practitioners to create cutting-edge</description>
    </item>
    <item rdf:about="https://www.wiki.steeve.ca/redis?rev=1738601515&amp;do=diff">
        <dc:format>text/html</dc:format>
        <dc:date>2025-02-03T16:51:55+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>redis</title>
        <link>https://www.wiki.steeve.ca/redis?rev=1738601515&amp;do=diff</link>
        <description>open-source

Redis

Redis , short for Remote Dictionary Server, is a fast, open-source, in-memory data structure store widely used as a database, cache, and message broker. Known for its high performance and low latency, Redis supports a rich variety of data structures, including strings, hashes, lists, sets, sorted sets, bitmaps</description>
    </item>
    <item rdf:about="https://www.wiki.steeve.ca/scenarionet?rev=1744586824&amp;do=diff">
        <dc:format>text/html</dc:format>
        <dc:date>2025-04-13T23:27:04+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>scenarionet</title>
        <link>https://www.wiki.steeve.ca/scenarionet?rev=1744586824&amp;do=diff</link>
        <description>ScenarioNet

Open-Source Platform for Large-Scale Traffic Scenario Simulation and Modeling

​ScenarioNet is an open-source platform developed by MetaDriverse for large-scale traffic scenario modeling and simulation. It provides tools to build and manage databases from various data sources, including real-world datasets like</description>
    </item>
    <item rdf:about="https://www.wiki.steeve.ca/scikit-learn?rev=1737675592&amp;do=diff">
        <dc:format>text/html</dc:format>
        <dc:date>2025-01-23T23:39:52+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>scikit-learn</title>
        <link>https://www.wiki.steeve.ca/scikit-learn?rev=1737675592&amp;do=diff</link>
        <description>library open-source python

Scikit-Learn

Scikit-Learn is a popular open-source Python library for machine learning, built on top of NumPy, SciPy, and matplotlib. It provides simple and efficient tools for data mining, data analysis, and machine learning. Scikit-Learn is designed to be accessible to both beginners and experienced practitioners, making it a go-to library for a wide range of machine learning applications.</description>
    </item>
    <item rdf:about="https://www.wiki.steeve.ca/sidebar?rev=1737945866&amp;do=diff">
        <dc:format>text/html</dc:format>
        <dc:date>2025-01-27T02:44:26+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>sidebar</title>
        <link>https://www.wiki.steeve.ca/sidebar?rev=1737945866&amp;do=diff</link>
        <description>EXPLORE

All the Content (A-Z)

Recent Changes



MAIN TOPICS

Artificial-Intelligence

Open-Source

BY TAGS

ABOUT

Site Rules

Glossary</description>
    </item>
    <item rdf:about="https://www.wiki.steeve.ca/site_rules?rev=1735500236&amp;do=diff">
        <dc:format>text/html</dc:format>
        <dc:date>2024-12-29T19:23:56+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>site_rules</title>
        <link>https://www.wiki.steeve.ca/site_rules?rev=1735500236&amp;do=diff</link>
        <description>Site Rules

General Guidelines

Respectful Communication: Critique ideas, not individuals. Avoid personal attacks and do not use language that may be seen as offensive or derogatory, including slurs related to gender, race, sexual orientation, nationality, or religion.</description>
    </item>
    <item rdf:about="https://www.wiki.steeve.ca/sqlalchemy?rev=1744677182&amp;do=diff">
        <dc:format>text/html</dc:format>
        <dc:date>2025-04-15T00:33:02+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>sqlalchemy</title>
        <link>https://www.wiki.steeve.ca/sqlalchemy?rev=1744677182&amp;do=diff</link>
        <description>open-source

SQLAlchemy

SQLAlchemy is a powerful, open-source SQL toolkit and Object-Relational Mapping (ORM) library for Python. Designed to provide developers with both low-level SQL expression building and high-level ORM features, SQLAlchemy enables flexible, efficient, and database-agnostic application development. It supports a wide array of</description>
    </item>
    <item rdf:about="https://www.wiki.steeve.ca/start?rev=1739848635&amp;do=diff">
        <dc:format>text/html</dc:format>
        <dc:date>2025-02-18T03:17:15+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>start</title>
        <link>https://www.wiki.steeve.ca/start?rev=1739848635&amp;do=diff</link>
        <description>This platform serves as a comprehensive resource hub for M&amp;S enthusiasts, developers, and professionals exploring the intersection of simulation, artificial intelligence (AI), large language models (LLMs), and cutting-edge technologies.

View Recent Changes

View Content in Alphabetical Order

Concepts: agent-based modeling, probabilistic reasoning, and causal inference.

Technologies: AI-powered simulations, LLMs for</description>
    </item>
    <item rdf:about="https://www.wiki.steeve.ca/sumo?rev=1737416057&amp;do=diff">
        <dc:format>text/html</dc:format>
        <dc:date>2025-01-20T23:34:17+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>sumo</title>
        <link>https://www.wiki.steeve.ca/sumo?rev=1737416057&amp;do=diff</link>
        <description>open-source simulation

SUMO

Eclipse SUMO (Simulation of Urban MObility) is an open-source traffic simulation tool designed for modeling and analyzing transportation systems in urban environments. SUMO enables the simulation of vehicles, pedestrians, and public transport, making it a powerful tool for studying large-scale traffic scenarios and addressing challenges in urban mobility.</description>
    </item>
    <item rdf:about="https://www.wiki.steeve.ca/system_dynamics_modeling?rev=1737589983&amp;do=diff">
        <dc:format>text/html</dc:format>
        <dc:date>2025-01-22T23:53:03+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>system_dynamics_modeling</title>
        <link>https://www.wiki.steeve.ca/system_dynamics_modeling?rev=1737589983&amp;do=diff</link>
        <description>System Dynamics Modeling

System Dynamics Modeling is a methodology for understanding and analyzing complex systems over time. Developed in the 1950s by Jay Wright Forrester, it uses mathematical models and visual representations to simulate the dynamic interactions within systems. This approach enables researchers, policymakers, and analysts to study feedback loops, delays, and accumulations, which are crucial for understanding system behavior and predicting future outcomes.</description>
    </item>
    <item rdf:about="https://www.wiki.steeve.ca/tensorflow?rev=1737254529&amp;do=diff">
        <dc:format>text/html</dc:format>
        <dc:date>2025-01-19T02:42:09+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>tensorflow</title>
        <link>https://www.wiki.steeve.ca/tensorflow?rev=1737254529&amp;do=diff</link>
        <description>ai open-source

TensorFlow

TensorFlow is an open-source platform for machine learning developed by Google. It provides a comprehensive ecosystem for building, training, and deploying machine learning models across a variety of devices, including desktops, mobile devices, and cloud infrastructures</description>
    </item>
    <item rdf:about="https://www.wiki.steeve.ca/traefik.io?rev=1737415766&amp;do=diff">
        <dc:format>text/html</dc:format>
        <dc:date>2025-01-20T23:29:26+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>traefik.io</title>
        <link>https://www.wiki.steeve.ca/traefik.io?rev=1737415766&amp;do=diff</link>
        <description>api

Traefik

Traefik is an open-source, cloud-native edge router and reverse proxy designed to simplify managing microservices and APIs in modern distributed environments. Traefik is built to automate traffic management tasks, seamlessly integrating with popular container orchestrators like Kubernetes, Docker, and</description>
    </item>
    <item rdf:about="https://www.wiki.steeve.ca/uplift_modeling?rev=1737936410&amp;do=diff">
        <dc:format>text/html</dc:format>
        <dc:date>2025-01-27T00:06:50+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>uplift_modeling</title>
        <link>https://www.wiki.steeve.ca/uplift_modeling?rev=1737936410&amp;do=diff</link>
        <description>analytics

Uplift modeling

Uplift modeling is a predictive analytics technique used to measure the incremental impact of an action or treatment on an outcome. Unlike traditional predictive models that estimate outcomes directly, uplift models focus on the difference in outcomes between treated and untreated groups, isolating the effect of the treatment itself. It is widely applied in fields like</description>
    </item>
    <item rdf:about="https://www.wiki.steeve.ca/websocket_api?rev=1737579347&amp;do=diff">
        <dc:format>text/html</dc:format>
        <dc:date>2025-01-22T20:55:47+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>websocket_api</title>
        <link>https://www.wiki.steeve.ca/websocket_api?rev=1737579347&amp;do=diff</link>
        <description>api

WebSocket API

WebSocket API is a powerful browser-based technology that enables real-time, bidirectional communication between a client (typically a web browser) and a server. Unlike traditional HTTP, which follows a request-response model, WebSockets establish a persistent connection</description>
    </item>
</rdf:RDF>
