
evidently
evidentlyai/evidentlyEvidently is an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.
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1,004 apps, agents and plugins from GitHub, ranked on how actively they are maintained rather than on stars. Security review is in progress and every project shows exactly what has and has not been checked.
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Evidently is an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.

22 prompt engineering techniques with hands-on Jupyter Notebook tutorials, from fundamental concepts to advanced strategies for leveraging LLMs.

Stanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages

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Deep Learning and Reinforcement Learning Library for Scientists and Engineers

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An open source library for deep learning end-to-end dialog systems and chatbots.


Fit interpretable models. Explain blackbox machine learning.

Postgres with GPUs for ML/AI apps.

⚡ Pure-Rust WebGPU inference engine — OpenAI-API compatible, GGUF native, runs on any GPU. No Python. No llama.cpp. Single binary.

An AI-powered data science team of agents to help you perform common data science tasks 10X faster.

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🔥 CSS talks you have to see ⚡️ covering CSS Grid, flexbox, custom variables, performance, frameworks, Sass, tools, and more! 🚀

Frontend tech guide and curated collection of frontend materials

A modular Agentic RAG built with LangGraph — learn Retrieval-Augmented Generation Agents in minutes.

A collection of tips to help up your jQuery game. 🎮

AdalFlow: The library to build & auto-optimize LLM applications.