Our verdict
We have not reviewed veRL yet
No one at Enterprise DNA has checked this listing against its sources. The description comes from public listings gathered automatically. Any fact below shows where it came from and when it was last checked.
From the listing
About veRL
veRL is a Python framework for reinforcement learning post-training of large language models. It provides a flexible architecture for running RL workflows at scale, supporting distributed training across multiple GPUs and optimized inference pipelines. The framework handles reward modeling, policy optimization, and generation sampling in a modular design.
Best for
ML engineers building custom RL post-training pipelines for LLMs at scale
Use cases
- Fine-tuning LLMs with RL objectives like RLHF or DPO
- Running distributed RL experiments across GPU clusters
- Building custom reward models and policy optimization loops
Notes
21,691 stars on GitHub. Last updated 2026-06-01. Licensed Apache-2.0.
Pros
- Modular architecture allows swapping components like reward models and optimizers
- Optimized for distributed training with efficient GPU utilization
- Active community project with 21k+ stars indicating adoption and maintenance
Cons
- Requires significant infrastructure and GPU resources to run effectively
- Steeper learning curve compared to higher-level fine-tuning APIs
- Documentation and examples may be limited relative to mainstream frameworks
Key facts
What we have checked
- Latest version
- 0.9.1 (released 20 Sept 2026)
- GitHub stars
- 23,625
Each value shows when we last confirmed it and where it came from. Values we have not confirmed are left out, never guessed.
Stars and usage
How veRL is growing
21,691 to 23,625
Alternatives
Alternatives to veRL
| Record | Type | How we know | Checked |
|---|---|---|---|
| OpenRLHFAlternative to this | Open source | Named in the listing | Not dated |
| ROLLAlternative to this | Open source | Named in the listing | Not dated |
| TRLAlternative to this | Open source | Named in the listing | Not dated |
| open-r1This is an alternative to it | Open source | Named in the listing | Not dated |
Compare
Compare veRL side by side
Sources
Where this comes from
- GitHubOfficial
- github api via nightly crawl, recovered from git history 20e874270887c1008f860ee0198e461a23c9e438Registry
A source shows what was published when we checked it. It does not certify security, performance or a working installation. Read our method.
Changelog
What changed
Released 0.9.1
Released 0.9.0
Released 0.8.0
Released 0.7.1
Released 0.7.0
Released 0.6.1
Released 0.6.0
Released 0.5.0
Released 0.4.1
Released 0.4.0
Open-source & AI alternatives
Swap-in tools that solve the same job. Weigh the trade-offs before you commit.
OpenRLHF
Community
An Easy-to-use, Scalable and High-performance Agentic RL Framework based on Ray (PPO & DAPO & REINFORCE++ & VLM & TIS & vLLM & Ray & Async RL)
ROLL
Community
An Efficient and User-Friendly Scaling Library for Reinforcement Learning with Large Language Models
TRL
Community
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
Pairs with
Other entries in the index that connect to this one. Click through to see the chain.
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