Stable Baselines3 by DLR-RM
PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
About Stable Baselines3
From the project's README at github.com/DLR-RM/stable-baselines3. Lightly cleaned for readability; for the full source see the upstream repo.
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Stable Baselines3 (SB3) is a set of reliable implementations of reinforcement learning algorithms in PyTorch. It is the next major version of Stable Baselines.
You can read a detailed presentation of Stable Baselines3 in the v1.0 blog post or our JMLR paper.
These algorithms will make it easier for the research community and industry to replicate, refine, and identify new ideas, and will create good baselines to build projects on top of. We expect these tools will be used as a base around which new ideas can be add
Health score breakdown
6-dimension composite. See methodology for formula and weights.
Adoption signals
Real-world usage data, pulled from each registry. The bigger the numbers, the more battle-tested the project.
| Signal | Value | Source |
|---|---|---|
| GitHub stars | 13k | github.com/DLR-RM/stable-baselines3 |
| GitHub forks | 2.1k | github.com/DLR-RM/stable-baselines3 |
| PYPI downloads (last month) | 1250k | stable-baselines3 |
Release & maintenance
Is this project actively maintained, or about to die? Check the recency of last commit and last release.
| Project age | 6.0 years | since May 2020 |
| Last commit | 5 days ago | May 2, 2026 |
| Releases shipped | 31 | last: 1 months ago |
Self-hosting cost across providers
Detected requirements: 4GB RAM, 40GB disk minimum. Cheapest plan per provider that meets the requirement.
| Provider | Plan | Specs | Monthly | |
|---|---|---|---|---|
| hetzner | CAX11 | 2c · 4GB · 40GB | $4.13 USD | Deploy → |
| vultr | VC2 | 1c · 1GB · 25GB | $5 USD | Deploy → |
| linode | Nanode 1GB | 1c · 1GB · 25GB | $5.12 USD | Deploy → |
| digitalocean | Basic Regular 1GB | 1c · 1GB · 25GB | $6 USD | Deploy → |
What people say on Hacker News
Ready to self-host Stable Baselines3?
Spin up a hetzner CAX11 (4GB RAM, 40GB disk) for $4.13/mo and follow the project's official install docs.
Data last refreshed May 7, 2026.
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