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Curated list of the best truly open-source AI projects, models, tools, and infrastructure. Daily updated.
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🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
Scrapy, a fast high-level web crawling & scraping framework for Python.
We write your reusable computer vision tools. 💜
ToolJet is the open-source foundation of ToolJet AI - the enterprise app generation platform for building internal tools, dashboard, business applications, workflows and AI agents 🚀
Event Driven Orchestration & Scheduling Platform for Mission Critical Applications
A high-performance observability data pipeline.
Debug, evaluate, and monitor your LLM applications, RAG systems, and agentic workflows with comprehensive tracing, automated evaluations, and production-ready dashboards.
Open-source infrastructure for Computer-Use Agents. Sandboxes, SDKs, and benchmarks to train and evaluate AI agents that can control full desktops (macOS, Linux, Windows).
open-source agentic AI data assistant for the next generation of AI + Data products.
Build reliable customer-facing AI agents with Parlant: an interaction control harness optimized for controlled, consistent, and predictable LLM interactions.
Private AI platform for agents, assistants and enterprise search. Built-in Agent Builder, Deep research, Document analysis, Multi-model support, and API connectivity for agents.
Workflow Engine for Kubernetes
Concurrently chat with ChatGPT, Bing Chat, Bard, Alpaca, Vicuna, Claude, ChatGLM, MOSS, 讯飞星火, 文心一言 and more, discover the best answers
A blazing fast AI Gateway with integrated guardrails. Route to 1,600+ LLMs, 50+ AI Guardrails with 1 fast & friendly API.
Open-source search database for full-text, vector, and hybrid search with real-time indexing and SQL.
🐍 Geometric Computer Vision Library for Spatial AI
Kedro is a toolbox for production-ready data science. It uses software engineering best practices to help you create data engineering and data science pipelines that are reproducible, maintainable, and modular.
The open source codebase powering HuggingChat
A unified framework for machine learning with time series
Apache Iceberg
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.
Dynamic, resilient AI orchestration. Coordinate data, models, and compute as you build AI workflows.
Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology
Efficient Triton Kernels for LLM Training
A scikit-learn compatible neural network library that wraps PyTorch
Standardized Distributed Generative and Predictive AI Inference Platform for Scalable, Multi-Framework Deployment on Kubernetes
Time series forecasting with PyTorch
High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.
The official Python client for the Hugging Face Hub.
🕹️ Open-source, developer-first LLMOps platform designed to streamline prompt design, version management, instant delivery, collaboration, troubleshooting, observability and more.
RamaLama is an open-source developer tool that simplifies the local serving of AI models from any source and facilitates their use for inference in production, all through the familiar language of containers.
Apache Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage/tracing and metadata. Runs and scales everywhere python does.
Build applications that make decisions (chatbots, agents, simulations, etc...). Monitor, trace, persist, and execute on your own infrastructure.
An open source DevOps tool from the CNCF for packaging and versioning AI/ML models, datasets, code, and configuration into an OCI Artifact.