Comparison
model_search vs oumi
Verdict
Pick model_search if model_search simplifies model architecture search by automating the process with predefined configurations focusing on binary classification tasks; 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 · model_search alternatives · oumi alternatives
GraphCanon updated 2d
Trust & integrity
| Signal | model_search | oumi |
|---|---|---|
| Maintenance | Archived (734d since push) As of 3w · github_public_v1 | Very active (1d since push) As of 2d · github_public_v1 |
| Provenance | Not a fork · Organization account As of 3w · github_public_v1 | Not a fork · Organization account As of 2d · github_public_v1 |
| OSV dependency advisories | Published findings 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
- model_search
- Automated machine learning for model architecture search.
- oumi
- Easily fine-tune, evaluate and deploy open source LLMs/VLMs
Stars
- model_search
- 3.2k
- oumi
- 9.4k
Forks
- model_search
- 549
- oumi
- 784
Open issues
- model_search
- 53
- oumi
- 34
Language
- model_search
- Python
- oumi
- Python
Adopt for
- model_search
- model_search simplifies model architecture search by automating the process with predefined configurations focusing on binary classification tasks.
- 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
- model_search
- -
- oumi
- -
Runtime
- model_search
- -
- oumi
- -
License
- model_search
- Apache-2.0
- 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
- model_search
- Jul 30, 2024
- oumi
- Aug 21, 2026
Categories
- model_search
- Evaluation & Observability, Model Training
- oumi
- Evaluation & Observability, Inference & Serving, Model Training
Trust and health
Maintenance
- model_search
- Archived (8%)
- oumi
- Very active (96%)
Days since push
- model_search
- 734d
- oumi
- 1d
Archived on GitHub
- model_search
- Yes
- oumi
- No
Open issues (now)
- model_search
- 53
- oumi
- 34
Stars delta
- model_search
- Unknown
- oumi
- +17 (30d)
Open issues delta
- model_search
- Unknown
- oumi
- +3 (30d)
OSV dependency advisories
- model_search
- Published findings
- oumi
- No lockfile (source not queried)
Full report
- model_search
- Trust report
- oumi
- Trust report
Choose model_search if…
- Tags unique to model_search: automl, binary classification, data-driven architecture selection, machine-learning.
- When you want to streamline the selection of optimal model architectures for your specific data without manual tuning.
When NOT to use model_search
- Avoid if your project requires customization beyond what model_search offers through predefined configurations.
- Not ideal for tasks outside of binary classification which strictly uses a logits_dimension of 2.
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 Inference & Serving.
- 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/model_search) · observed Aug 4, 2026
- GitHub forks (google/model_search) · observed Aug 4, 2026
- Last push (google/model_search) · observed Jul 30, 2024
- License file (Apache-2.0) · observed Aug 4, 2026
- Decision facts (enrichment) · observed Jul 17, 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: model_search 3.2k · oumi 9.4k (synced Aug 4, 2026).
Common questions
- What is the difference between model_search and oumi?
- model_search: Automated machine learning for model architecture search.. 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 model_search over oumi?
- Choose model_search over oumi when Tags unique to model_search: automl, binary classification, data-driven architecture selection, machine-learning; When you want to streamline the selection of optimal model architectures for your specific data without manual tuning.
- When should I choose oumi over model_search?
- Choose oumi over model_search when Requirements: Requires Docker; Docker is used for standardized and portable environment deployments.; Tags unique to oumi: dpo, evaluation, fine-tuning, llms; Also covers Inference & Serving; 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 model_search?
- Avoid if your project requires customization beyond what model_search offers through predefined configurations. Not ideal for tasks outside of binary classification which strictly uses a logits_dimension of 2.
- 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 model_search or oumi more popular on GitHub?
- oumi has more GitHub stars (9,376 vs 3,239). Stars measure visibility, not whether either tool fits your constraints.
- Are model_search and oumi open source?
- Yes - both are open-source projects on GitHub (model_search: Apache-2.0, oumi: Apache-2.0).
- Where can I find alternatives to model_search or oumi?
- GraphCanon lists graph-backed alternatives at model_search alternatives and oumi alternatives (model_search 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, model_search or oumi?
- model_search: Archived. 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 model_search and oumi?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: model_search trust report; oumi trust report.