OrganizationJan
@janhq • Jan is building Open Intelligence.. Use this route to separate flagship concentration from portfolio breadth before you treat a publisher as broadly strong.
Portfolio concentration
72%
Top three share
Shows whether the organization is driven by one breakout repo or several visible projects.
Breadth
29 repos
Visible snapshot
2 repositories updated in the last 90 days.
Leading language
Python
Portfolio mix
Python (16), Unknown (9), Go (1)
Average size
15
Stars per repository
Useful for distinguishing one flagship-heavy publisher from a repeatable portfolio.
Updated: 2026-01-21(279d ago)GitHub API fallback29 repositories
72%
of the visible star count comes from this organization's top three repositories.
15
stars per repository in this same snapshot.
Python
is the most common language here, with 2 repositories updated in the last 90 days.
Why this rank
This organization stands out because its public portfolio is relatively balanced across 29 repositories.
Balanced portfolio across 29 reposTop 3 share 72%
Organization pages work best when you separate portfolio breadth from flagship concentration. In Jan's case, the visible top three repositories account for about 72% of total stars in this snapshot, which helps explain whether the organization is known for one breakout project or for a broader repeatable portfolio.
The dominant language mix here is Python (16), Unknown (9), Go (1). That makes this page useful not just for popularity checks, but also for seeing what technical shape an organization's public ecosystem actually has.
Top Repositories
| # | Repository | Language | Stars |
|---|---|---|---|
| 1 | janhq/ReZero | Python | 160 |
| 2 | janhq/verifiers-deepresearch Verifiers for LLM Reinforcement Learning | Python | 84 |
| 3 | janhq/server Self-hosted agentic AI platform powered by local models | Go | 78 |
| 4 | janhq/OpenCrawl 🌐 OpenCrawl: An ethical, high-performance web crawler built for scale A powerful web crawling library that respects robots.txt and rate limits while leveraging Kafka for high-throughput data processing. Built with ethics and efficiency in mind. | Python | 28 |
| 5 | janhq/space-thinker | Python | 22 |
| 6 | janhq/model-catalog | Python | 12 |
| 7 | janhq/voxel-representation | Python | 9 |
| 8 | janhq/pathik-menlo OpenCrawl | Python | 7 |
| 9 | janhq/router ⚡ Router – The fastest AI inference client for Python, built with Rust for unmatched speed, efficiency, and scalability 🚀 | 6 | |
| 10 | janhq/searxng-docker-for-mcp The docker-compose files for setting up a SearXNG instance with docker. | 5 | |
| 11 | janhq/JanCode Roo Code (prev. Roo Cline) gives you a whole dev team of AI agents in your code editor. | 5 | |
| 12 | janhq/agents | Python | 5 |
| 13 | janhq/prompt-experiments | 4 | |
| 14 | janhq/crawl4ai 🚀🤖 Crawl4AI: Open-source LLM Friendly Web Crawler & Scraper. Don't be shy, join here: https://discord.gg/jP8KfhDhyN | Python | 4 |
| 15 | janhq/verl-deepresearch verl: Volcano Engine Reinforcement Learning for LLMs | Python | 4 |
| 16 | janhq/mujoco-wasm Multi-Joint dynamics with Contact. A general purpose physics simulator. | Jupyter Notebook | 3 |
| 17 | janhq/LiveCodeBench Official repository for the paper "LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code" | Python | 2 |
| 18 | janhq/vllm A high-throughput and memory-efficient inference and serving engine for LLMs | Python | 2 |
| 19 | janhq/verl verl: Volcano Engine Reinforcement Learning for LLMs | Python | 2 |
| 20 | janhq/material-project-mcp | Python | 2 |
| 21 | janhq/litellm Python SDK, Proxy Server (LLM Gateway) to call 100+ LLM APIs in OpenAI format - [Bedrock, Azure, OpenAI, VertexAI, Cohere, Anthropic, Sagemaker, HuggingFace, Replicate, Groq] | 2 | |
| 22 | janhq/opencode The open source coding agent. | 1 | |
| 23 | janhq/open-instruct AllenAI's post-training codebase | Python | 1 |
| 24 | janhq/flashinfer FlashInfer: Kernel Library for LLM Serving | 0 | |
| 25 | janhq/open_asr_leaderboard | 0 | |
| 26 | janhq/cua c/ua is the Docker Container for Computer-Use AI Agents. | 0 | |
| 27 | janhq/robotics-morph Adaptive control for cross embodiment of robot arm manipulation | Python | 0 |
| 28 | janhq/libccd Library for collision detection between two convex shapes | C | 0 |
| 29 | janhq/unitree_sdk2 Unitree robot sdk version 2. https://support.unitree.com/home/zh/developer | C++ | 0 |
Next step after the organization read
Open a flagship repository, compare a couple of portfolio leaders, or return to the organization map when you want a broader concentration read.
Learn and methodology
Keep trust-building context reachable, but behind the first data read instead of ahead of it.
How to read this organization snapshot
Total stars are useful as a discovery signal, but they do not tell you whether a team maintains every repository equally. Pair this page with release cadence, maintainer activity, and the flagship concentration shown above before making adoption decisions.
For broader background on GitStar's ranking logic and editorial guidance, see Methodology & Editorial Standards.