#1
NousResearch/hermes-agent
The agent that grows with you
Stars 159120
Forks 25809Python ecosystem
Best open source Python repositories on GitHub
Explore the best open source Python projects on GitHub, including AI tooling, data libraries, backend systems, automation software, and research infrastructure.
AI engineers, data teams, backend developers, automation builders, and technical evaluators.
Why This Matters
Python remains a core language for AI, data, and automation, which makes the ecosystem broad and noisy. A curated ranking helps narrow the field.
What To Look For
Focus on practical adoption signals, maintenance consistency, documentation quality, and whether the repository is solving an active workflow problem.
Best Fit
AI engineers, data teams, backend developers, automation builders, and technical evaluators.
How To Evaluate Python Repositories
Python rankings matter because the language spans very different buyer and developer intents, from machine learning to CLI automation to web backends. A generic top-star list is rarely enough.
Use this page to spot repositories that are both active and relevant now, then compare them in the project detail view before investing time.
Related Language Guides
Top Python Repositories Right Now
A practical shortlist of Python repositories worth evaluating based on recent GitHub momentum.
#2
pytorch/pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Stars 100043
Forks 27833#3
home-assistant/core
:house_with_garden: Open source home automation that puts local control and privacy first.
Stars 87148
Forks 37536#4
vllm-project/vllm
A high-throughput and memory-efficient inference and serving engine for LLMs
Stars 80564
Forks 17007#5
keras-team/keras
Deep Learning for humans
Stars 64078
Forks 19777#6
OpenHands/OpenHands
🙌 OpenHands: AI-Driven Development
Stars 74255
Forks 9416#7
apache/airflow
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
Stars 45466
Forks 17081#8
mem0ai/mem0
Universal memory layer for AI Agents
Stars 56275
Forks 6408#9
crewAIInc/crewAI
Framework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work together seamlessly, tackling complex tasks.
Stars 51809
Forks 7177#10
run-llama/llama_index
LlamaIndex is the leading document agent and OCR platform
Stars 49534
Forks 7433#11
BerriAI/litellm
Python SDK, Proxy Server (AI Gateway) to call 100+ LLM APIs in OpenAI (or native) format, with cost tracking, guardrails, loadbalancing and logging. [Bedrock, Azure, OpenAI, VertexAI, Cohere, Anthropic, Sagemaker, HuggingFace, VLLM, NVIDIA NIM]
Stars 47692
Forks 8202#12
HKUDS/nanobot
Lightweight, open-source AI agent for your tools, chats, and workflows.
Stars 42848
Forks 7550#13
ray-project/ray
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
Stars 42608
Forks 7590#14
frappe/erpnext
Free and Open Source Enterprise Resource Planning (ERP)
Stars 34636
Forks 11364#15
getsentry/sentry
Developer-first error tracking and performance monitoring
Stars 43919
Forks 4715#16
deepspeedai/DeepSpeed
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
Stars 42369
Forks 4833#17
SimplifyJobs/Summer2026-Internships
Collection of Summer 2026 tech internships!
Stars 44636
Forks 3179#18
HKUDS/LightRAG
[EMNLP2025] "LightRAG: Simple and Fast Retrieval-Augmented Generation"
Stars 35426
Forks 5011#19
jax-ml/jax
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
Stars 35645
Forks 3581#20
tinygrad/tinygrad
You like pytorch? You like micrograd? You love tinygrad! ❤️
Stars 32726
Forks 4125FAQ
What types of Python repositories appear here most often?
Common categories include AI frameworks, RAG tools, data pipelines, automation scripts, scientific tooling, and backend services.
Is this page mainly for AI projects?
No. AI is a large part of Python momentum, but the page also surfaces backend, automation, and data infrastructure projects.
What makes a Python project stand out in this ranking?
Active maintenance, rising developer attention, practical documentation, and evidence that the project is being adopted for real tasks.