openenv/OpenEnv
An interface library for RL post training with environments.
Build with Backblaze B2
SDKs, agent skills, IDE extensions, and reference pipelines from Backblaze Labs. All open source.
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Where it stands
Rank, growth pace and release cadence relative to everything GStars tracks.
5 releases in the last 90 days, the latest 4 days ago, with 111 contributors on GitHub.
Peaked at #79 in the weekly ranking the week of Mar 22, its best in the past year.
Use Cases & Benefits
- Provides a framework with Gymnasium-style APIs for creating, deploying, and interacting with isolated execution environments for agentic reinforcement learning.
- Enables secure, containerized, and type-safe environment deployment and interaction over standard protocols like WebSocket and HTTP.
- Use for developing and testing custom RL environments with isolated Docker containers and simple client-server APIs.
- Use for integrating RL training workflows with agentic environments via async or sync clients supporting real-time interaction.
- Use for deploying and sharing RL environments on platforms like Hugging Face Spaces with automated CLI tools.
Should you depend on it?
License terms, project hygiene and risks, from GitHub metadata and GStars' snapshots.
License
BSD 3-Clause
Permissive: commercial use, modification and redistribution are allowed with attribution.
Community files
- README: present
- Contributing guide: present
- Code of conduct: present
Watch-outs
No watch-outs from GStars' checks.
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From the README
An e2e framework for creating, deploying and using isolated execution environments for agentic RL training, built using Gymnasium style simple APIs.
🚀 Featured Example: Train LLMs to play BlackJack using torchforge (PyTorch's agentic RL framework):
examples/grpo_blackjack/🔥 Zero to Hero Tutorial: End to end tutorial from our GPU Mode lecture and other hackathons.
Install an environment client (e.g., Echo):
Synchronous usage is also supported via the
.sync()wrapper:For a detailed quick start, check out the docs page.
Daily snapshots
Stars gained per day, and how forks and open issues moved, from GStars' daily snapshots
Forks
498+80
Open issues
95+1
Compared with peers in Machine Learning
Fastest-growing repositories GStars tracks in this cohort for the week of Nov 1, by 7-day star growth
| Repository | Stars | +7d | Health | Last release |
|---|---|---|---|---|
| photoprism/photoprism | 40.4K | — | 65 | 1 day ago |
| huggingface/diffusers | 34.8K | — | 65 | 3 days ago |
| onnx/onnx | 21.6K | — | 63 | 31 days ago |
| lukas-blecher/LaTeX-OCR | 16.6K | — | 18 | — |
| milesial/Pytorch-UNet | 11.7K | — | 18 | — |
| openenv/OpenEnv | 2.8K | — | 65 | 4 days ago |
| Category median | 21.6K | — | 63 | — |
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