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Comparison

open-r1 vs oumi

Verdict

Pick open-r1 if open-R1 is an open-source effort to replicate DeepSeek-R1's models and training pipelines involving model distillation, RL pipeline replication, and multi-stage training; pick oumi if oumi is a tool for fine-tuning, evaluating, and deploying open-source large language models (LLMs) such as Gemma 4, Qwen3.5, Qwen3.6, gpt-oss, DeepSeek-R1, among others.

Markdown twin · open-r1 alternatives · oumi alternatives

GraphCanon updated Oct 10, 2026

14views this month

open-r1 logo

open-r1

huggingface/open-r1

★ 26kpushed Oct 2, 2026
vs
oumi logo

oumi

oumi-ai/oumi

★ 9.4kpushed Sep 20, 2026

Trust & integrity

Signalopen-r1oumi
Maintenance
Active (8d since push)
As of Oct 10, 2026 · github_public_v1
Very active (0d since push)
As of Sep 20, 2026 · github_public_v1
Provenance
Not a fork · Organization account
As of Oct 10, 2026 · github_public_v1
Not a fork · Organization account
As of Sep 20, 2026 · github_public_v1
OSV dependency advisories
No lockfile (source not queried)
As of Jul 11, 2026 · osv@v1
No lockfile (source not queried)
As of Jul 11, 2026 · osv@v1
deps.dev advisories
Not queried
deps.dev@v1
Not queried
deps.dev@v1
OpenSSF Scorecard
Not queried
openssf-scorecard@v1
Not queried
openssf-scorecard@v1
open-r1 trust reportoumi trust reportTrust methodology

Tagline

open-r1
Fully open reproduction of DeepSeek-R1
oumi
Easily fine-tune, evaluate and deploy open source LLMs/VLMs

Stars

open-r1
26k
oumi
9.4k

Forks

open-r1
2.5k
oumi
790

Open issues

open-r1
0
oumi
34

Language

open-r1
Python
oumi
Python

Adopt for

open-r1
Open-R1 is an open-source effort to replicate DeepSeek-R1's models and training pipelines involving model distillation, RL pipeline replication, and multi-stage training.
oumi
Oumi is a tool for fine-tuning, evaluating, and deploying open-source large language models (LLMs) such as Gemma 4, Qwen3.5, Qwen3.6, gpt-oss, DeepSeek-R1, among others.

Persona

open-r1
-
oumi
-

Runtime

open-r1
-
oumi
-

License

open-r1
The project is licensed under Apache-2.0, providing a permissive license that allows for free use, modification, and distribution.
oumi
Oumi is released under Apache-2.0 license, providing users with a permissive free software license that includes the terms of the MIT License while also addressing patent liability issues.

Last pushed

open-r1
Oct 2, 2026
oumi
Sep 20, 2026

Categories

open-r1
Inference & Serving, Model Training
oumi
Evaluation & Observability, Inference & Serving, Model Training

Trust and health

Maintenance

open-r1
Active (82%)
oumi
Very active (96%)

Days since push

open-r1
8d
oumi
0d

Open issues (now)

open-r1
0
oumi
34

Open issues delta

open-r1
-340 (30d)
oumi
+3 (30d)

Full report

open-r1
Trust report
oumi
Trust report

Choose open-r1 if…

  • Requirements: Min 8 GB RAM; Installation requires CUDA version 12.4 and PyTorch v2.6.0, with specific dependencies like vLLM and FlashAttention that are critical..
  • Tags unique to open-r1: cuda, deepseek-r1, flashattention, model distillation.
  • Use Open-R1 when you need a detailed understanding of how DeepSeek-R1 operates, considering the project closely mirrors its architecture and processes.

When NOT to use open-r1

  • Avoid Open-R1 if your hardware does not support CUDA 12.4 or cannot run PyTorch `v2.6.0`, as this may lead to errors.
  • Do not use it if the need for rapid experimentation outweighs the value of detailed replication, since the multi-stage training and datasets curation process can be time-consuming.
GitHubDetails

Choose oumi if…

  • Requirements: Requires Docker; Docker is used for standardized and portable environment deployments..
  • Tags unique to oumi: dpo, evaluation, fine-tuning, llms.
  • Also covers Evaluation & Observability.
  • - You are working specifically with one of the supported open-source LLMs including Gemma 4 or Qwen variants.

When NOT to use oumi

  • - If your focus is on proprietary models rather than open-source ones, Oumi may not offer the necessary support or integrations.
  • - You require deployment flexibility beyond what Oumi provides for less commonly supported open-source LLMs outside its primary focus (e.g., Gemma 4, Qwen series).
GitHubDetails

Explore

open-r1 trust report →oumi trust report →Inference & Serving category →Model Training category →Evaluation & Observability category →All comparisonsStack workflowsTrending tools

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: open-r1 26k · oumi 9.4k (synced Oct 10, 2026).

Common questions

What is the difference between open-r1 and oumi?
open-r1: Fully open reproduction of DeepSeek-R1. oumi: Easily fine-tune, evaluate and deploy open source LLMs/VLMs. See the comparison table for live GitHub stats and shared categories.
When should I choose open-r1 over oumi?
Choose open-r1 over oumi when Requirements: Min 8 GB RAM; Installation requires CUDA version 12.4 and PyTorch v2.6.0, with specific dependencies like vLLM and FlashAttention that are critical.; Tags unique to open-r1: cuda, deepseek-r1, flashattention, model distillation; Use Open-R1 when you need a detailed understanding of how DeepSeek-R1 operates, considering the project closely mirrors its architecture and processes.
When should I choose oumi over open-r1?
Choose oumi over open-r1 when Requirements: Requires Docker; Docker is used for standardized and portable environment deployments.; Tags unique to oumi: dpo, evaluation, fine-tuning, llms; Also covers Evaluation & Observability; - You are working specifically with one of the supported open-source LLMs including Gemma 4 or Qwen variants.
When should I avoid open-r1?
Avoid Open-R1 if your hardware does not support CUDA 12.4 or cannot run PyTorch v2.6.0, as this may lead to errors. Do not use it if the need for rapid experimentation outweighs the value of detailed replication, since the multi-stage training and datasets curation process can be time-consuming.
When should I avoid oumi?
- If your focus is on proprietary models rather than open-source ones, Oumi may not offer the necessary support or integrations. - You require deployment flexibility beyond what Oumi provides for less commonly supported open-source LLMs outside its primary focus (e.g., Gemma 4, Qwen series).
Is open-r1 or oumi more popular on GitHub?
open-r1 has more GitHub stars (26,477 vs 9,387). Stars measure visibility, not whether either tool fits your constraints.
Are open-r1 and oumi open source?
Yes - both are open-source projects on GitHub (open-r1: Apache-2.0, oumi: Apache-2.0).
Where can I find alternatives to open-r1 or oumi?
GraphCanon lists graph-backed alternatives at open-r1 alternatives and oumi alternatives (open-r1 markdown twin, oumi markdown twin), ranked by typed relationship edges rather than popularity votes.
Is there a machine-readable version of this comparison?
Yes. The markdown twin at this comparison mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
Which is better maintained, open-r1 or oumi?
open-r1: Active. oumi: Very active. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.
Where are the full trust reports for open-r1 and oumi?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: open-r1 trust report; oumi trust report.

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