Comparison
recurrentgemma vs oumi
Verdict
Pick recurrentgemma if recurrentGemma is an open-source language model from Google DeepMind, utilizing the Griffin architecture and supporting JAX and PyTorch for efficient neural network training and inference on TPUs, CPUs, and GPUs; 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 · recurrentgemma alternatives · oumi alternatives
GraphCanon updated 2d
vs
Trust & integrity
| Signal | recurrentgemma | oumi |
|---|---|---|
| Maintenance | Slowing (181d since push) As of 2w · github_public_v1 | Very active (1d since push) As of 2d · github_public_v1 |
| Provenance | Not a fork · Organization account As of 2w · github_public_v1 | Not a fork · Organization account As of 2d · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | No lockfile (source not queried) As of 1mo · 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 |
Tagline
- recurrentgemma
- Open weights language model from Google DeepMind, based on Griffin
- oumi
- Easily fine-tune, evaluate and deploy open source LLMs/VLMs
Stars
- recurrentgemma
- 684
- oumi
- 9.4k
Forks
- recurrentgemma
- 40
- oumi
- 784
Open issues
- recurrentgemma
- 4
- oumi
- 34
Language
- recurrentgemma
- Python
- oumi
- Python
Adopt for
- recurrentgemma
- RecurrentGemma is an open-source language model from Google DeepMind, utilizing the Griffin architecture and supporting JAX and PyTorch for efficient neural network training and inference on TPUs, CPUs, and GPUs.
- 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
- recurrentgemma
- -
- oumi
- -
Runtime
- recurrentgemma
- -
- oumi
- -
License
- recurrentgemma
- The codebase is distributed under the permissive Apache License, version 2.0, allowing for broad usage but with no warranties expressed or implied.
- 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
- recurrentgemma
- Feb 6, 2026
- oumi
- Aug 21, 2026
Categories
- recurrentgemma
- Inference & Serving, Model Training
- oumi
- Evaluation & Observability, Inference & Serving, Model Training
Trust and health
Maintenance
- recurrentgemma
- Slowing (36%)
- oumi
- Very active (96%)
Days since push
- recurrentgemma
- 181d
- oumi
- 1d
Open issues (now)
- recurrentgemma
- 4
- oumi
- 34
Stars delta
- recurrentgemma
- Unknown
- oumi
- +17 (30d)
Open issues delta
- recurrentgemma
- Unknown
- oumi
- +3 (30d)
Full report
- recurrentgemma
- Trust report
- oumi
- Trust report
Choose recurrentgemma if…
- Requirements: Optimized for TPU using the Flax implementation.; Supports CPU and GPU environments via JAX and PyTorch..
- Tags unique to recurrentgemma: deep-learning, flax, jax, language-model.
- If you require high efficiency in neural network training or inferencing specifically optimized for TPUs using the Flax implementation
When NOT to use recurrentgemma
- Do not use if your infrastructure does not support TensorFlow, since RecurrentGemma optimizes efficiency mostly on TPUs which are tightly coupled with TensorFlow's ecosystem
- Avoid using this tool if you are working in a restricted environment where setting up virtual environments with tools like Poetry or manually managing dependencies with pip is challenging
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.
- oumi ships Docker support for self-hosted deployment.
- - 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).
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (google-deepmind/recurrentgemma) · observed Aug 7, 2026
- GitHub forks (google-deepmind/recurrentgemma) · observed Aug 7, 2026
- Last push (google-deepmind/recurrentgemma) · observed Feb 6, 2026
- License file (Apache-2.0) · observed Aug 7, 2026
- Decision facts (enrichment) · observed Jul 14, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (oumi-ai/oumi) · observed Aug 23, 2026
- GitHub forks (oumi-ai/oumi) · observed Aug 23, 2026
- Last push (oumi-ai/oumi) · observed Aug 21, 2026
- License file (Apache-2.0) · observed Aug 23, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: recurrentgemma 684 · oumi 9.4k (synced Aug 7, 2026).
Common questions
- What is the difference between recurrentgemma and oumi?
- recurrentgemma: Open weights language model from Google DeepMind, based on Griffin. 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 recurrentgemma over oumi?
- Choose recurrentgemma over oumi when Requirements: Optimized for TPU using the Flax implementation.; Supports CPU and GPU environments via JAX and PyTorch.; Tags unique to recurrentgemma: deep-learning, flax, jax, language-model; If you require high efficiency in neural network training or inferencing specifically optimized for TPUs using the Flax implementation.
- When should I choose oumi over recurrentgemma?
- Choose oumi over recurrentgemma 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; oumi ships Docker support for self-hosted deployment; - You are working specifically with one of the supported open-source LLMs including Gemma 4 or Qwen variants.
- When should I avoid recurrentgemma?
- Do not use if your infrastructure does not support TensorFlow, since RecurrentGemma optimizes efficiency mostly on TPUs which are tightly coupled with TensorFlow's ecosystem Avoid using this tool if you are working in a restricted environment where setting up virtual environments with tools like Poetry or manually managing dependencies with pip is challenging
- 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 recurrentgemma or oumi more popular on GitHub?
- oumi has more GitHub stars (9,376 vs 684). Stars measure visibility, not whether either tool fits your constraints.
- Are recurrentgemma and oumi open source?
- Yes - both are open-source projects on GitHub (recurrentgemma: Apache-2.0, oumi: Apache-2.0).
- Where can I find alternatives to recurrentgemma or oumi?
- GraphCanon lists graph-backed alternatives at recurrentgemma alternatives and oumi alternatives (recurrentgemma 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, recurrentgemma or oumi?
- recurrentgemma: Slowing. 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 recurrentgemma and oumi?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: recurrentgemma trust report; oumi trust report.