Awesome Opensource Ai

A python library for user-friendly forecasting and anomaly detection on time series.

AutoML library for deep learning

ModelScope: bring the notion of Model-as-a-Service to life.

A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.

Build an agent harness and control it end-to-end. Open-source SDK for production AI agents in Python & TypeScript - any model, any cloud.

The easiest way to serve AI apps and models - Build Model Inference APIs, Job queues, LLM apps, Multi-model pipelines, and more!

🧙 Build, run, and manage data pipelines for integrating and transforming data.

Apache Beam is a unified programming model for Batch and Streaming data processing.

Build effective agents using Model Context Protocol and simple workflow patterns

Out-of-Core hybrid Apache Arrow/NumPy DataFrame for Python, ML, visualization and exploration of big tabular data at a billion rows per second 🚀

🧱 Easy fast local-first microVM runtime and library

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

Flexible and powerful framework for managing multiple AI agents and handling complex conversations

An open source python library for automated feature engineering

Open-source observability for your GenAI or LLM application, based on OpenTelemetry

Dynamic, resilient AI orchestration. Coordinate data, models, and compute as you build AI workflows.

The Open Source Feature Store for AI/ML

NeMo Guardrails is an open-source toolkit for easily adding programmable guardrails to LLM-based conversational systems.

the portable Python dataframe library

Julep — durable, composable AI agents. Flows that crash and resume, retry safely, and explain every step.

Aim 💫 — An easy-to-use & supercharged open-source experiment tracker.

Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams

AI Agent Governance Toolkit — Policy enforcement, zero-trust identity, execution sandboxing, and reliability engineering for autonomous AI agents. Covers 10/10 OWASP Agentic Top 10.

an ambient intelligence library

A system for quickly generating training data with weak supervision

A model-driven approach to building AI agents in just a few lines of code.

A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference applications.

Fine-tune LLMs from one YAML. Layer streaming trains an 8B model on a 4 GB laptop GPU.

OpenSpiel is a collection of environments and algorithms for research in general reinforcement learning and search/planning in games.

Astronomy and astrophysics core library

Local-first healthcare AI: clinical NER & HIPAA PII de-identification that runs 100% on-device. 2,200+ medical models, 21 languages, Apple MLX + Python, no cloud, no patient data leaving your network. Apache-2.0

Free, ultrafast Copilot alternative for Vim and Neovim

The ultimate RAG for your monorepo. Query, understand, and edit multi-language codebases with the power of AI and knowledge graphs

AutoRAG: Now your agent can find anything in your computer. It gets smarter if you are using it frequently.

Time series forecasting with PyTorch

Lightning ⚡️ fast forecasting with statistical and econometric models.

High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.

Your agent in your terminal, equipped with local tools: writes code, uses the terminal, browses the web. Make your own persistent autonomous agent on top!

An AI Gateway, registry, and proxy that sits in front of any MCP, A2A, or REST/gRPC APIs, exposing a unified endpoint with centralized discovery, guardrails and management. Optimizes Agent & Tool calling, and supports plugins.

A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.

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

A system for agentic LLM-powered data processing and ETL

Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all of your AI & ML validation needs, enabling to thoroughly test your data and models from research to production.

Build production-ready AI agents in both Python and Typescript.

Distilabel is a framework for synthetic data and AI feedback for engineers who need fast, reliable and scalable pipelines based on verified research papers.

Scalable and efficient data transformation framework - backwards compatible with dbt.

🕹️ Open-source, developer-first LLMOps platform designed to streamline prompt design, version management, instant delivery, collaboration, troubleshooting, observability and more.

🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models

Playwright that anti-bots cannot see, so no captchas: same API, anti-detect stealth headless Firefox, undetected fingerprint, bypass bot detection, Python web scraping and browser automation.

Visualize and compare datasets, target values and associations, with one line of code.