Python

🔧🔗https://github.com/tensorzero/tensorzero TensorZero is an open-source stack for industrial-grade LLM applications. It unifies an LLM gateway, observability, optimization, evaluation, and experimentation

🔧🔗https://github.com/IBM/mcp-context-forge A Model Context Protocol (MCP) Gateway & Registry. Serves as a central management point for tools, resources, and prompts that can be accessed by MCP-compatible LLM applications. Converts REST API endpoints to MCP, composes virtual MCP servers with added security and observability, and converts between protocols (stdio, SSE, Streamable HTTP).

A feature-rich command-line audio/video downloader

🔧🔗https://github.com/google/tensorstore Library for reading and writing large multi-dimensional arrays.

🔗 https://github.com/Avaiga/taipy 🔗 https://www.taipy.io Turns Data and AI algorithms into production-ready web applications in no time.

🔧🔗https://github.com/leon-ai/leon

🧠 Leon is your open-source personal assistant.

🔗https://getleon.ai

https://github.com/Upsonic/Upsonic Self-Driven Autonomous Python Libraries

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

huggingface.co/transformers https://github.com/huggingface/transformers

🔧🔗https://github.com/bytedance/deer-flow DeerFlow is a community-driven framework for Deep Research, combining language models with tools like web search, crawling, and Python execution, while contributing back to the open-source community.

https://github.com/Lightning-AI/pytorch-lightning 🔗 lightning.ai Pretrain, finetune and deploy AI models on multiple GPUs, TPUs with zero code changes.

Production-ready, Light, Flexible and Extensible ASGI API framework | Effortlessly Build Performant APIs

🔧🔗https://github.com/pytorch/torchtune PyTorch native post-training library

🕸️🔗pytorch.org/torchtune/main/

Gen-AI Chat for Teams - Think ChatGPT if it had access to your team's unique knowledge.

docs.danswer.dev/

🔧🔗https://github.com/google/ml_collections

ML Collections is a library of Python Collections designed for ML use cases.

🔧🔗https://github.com/assafelovic/gpt-researcher LLM based autonomous agent that conducts deep local and web research on any topic and generates a long report with citations.

https://github.com/netbox-community/netbox.git

🔧🔗https://github.com/google/adk-python An open-source, code-first Python toolkit for building, evaluating, and deploying sophisticated AI agents with flexibility and control.

https://github.com/roboflow/inference A fast, easy-to-use, production-ready inference server for computer vision supporting deployment of many popular model architectures and fine-tuned models.

🔧🔗https://github.com/facebookresearch/habitat-lab

A modular high-level library to train embodied AI agents across a variety of tasks and environments.

🔧🔗https://github.com/openai/openai-agents-python A lightweight, powerful framework for multi-agent workflows