Comparison
octoml-profile vs oumi
Verdict
Pick octoml-profile if octoML PyTorch Profiler provides profiling and acceleration tools for PyTorch models with remote execution capabilities; 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 · octoml-profile alternatives · oumi alternatives
GraphCanon updated today
vs
Trust & integrity
| Signal | octoml-profile | oumi |
|---|---|---|
| Maintenance | Dormant (1197d since push) As of 2w · github_public_v1 | Very active (1d since push) As of today · github_public_v1 |
| Provenance | Not a fork · Organization account As of 2w · github_public_v1 | Not a fork · Organization account As of today · 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
- octoml-profile
- Home for OctoML PyTorch Profiler
- oumi
- Easily fine-tune, evaluate and deploy open source LLMs/VLMs
Stars
- octoml-profile
- 113
- oumi
- 9.4k
Forks
- octoml-profile
- 10
- oumi
- 784
Open issues
- octoml-profile
- 0
- oumi
- 34
Language
- octoml-profile
- -
- oumi
- Python
Adopt for
- octoml-profile
- OctoML PyTorch Profiler provides profiling and acceleration tools for PyTorch models with remote execution capabilities.
- 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
- octoml-profile
- -
- oumi
- -
Runtime
- octoml-profile
- -
- oumi
- -
License
- octoml-profile
- 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
- octoml-profile
- Apr 24, 2023
- oumi
- Aug 21, 2026
Categories
- octoml-profile
- Inference & Serving, Model Training
- oumi
- Evaluation & Observability, Inference & Serving, Model Training
Trust and health
Maintenance
- octoml-profile
- Dormant (18%)
- oumi
- Very active (96%)
Days since push
- octoml-profile
- 1197d
- oumi
- 1d
Open issues (now)
- octoml-profile
- 0
- oumi
- 34
Stars delta
- octoml-profile
- Unknown
- oumi
- +17 (30d)
Open issues delta
- octoml-profile
- Unknown
- oumi
- +3 (30d)
Full report
- octoml-profile
- Trust report
- oumi
- Trust report
Choose octoml-profile if…
- Tags unique to octoml-profile: acceleration, performance optimization, profiling, pytorch.
- Need precise performance metrics on different backend architectures like CPU, GPU in cloud environments
- Leaner open-issue backlog (0).
When NOT to use octoml-profile
- Development for local, offline usage only without remote profiling needs
- Working with PyTorch versions below 2.0 or incompatible with specific CUDA/Apple silicon versions outlined in installation guide
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 (octoml/octoml-profile) · observed Aug 4, 2026
- GitHub forks (octoml/octoml-profile) · observed Aug 4, 2026
- Last push (octoml/octoml-profile) · observed Apr 24, 2023
- 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: octoml-profile 113 · oumi 9.4k (synced Aug 4, 2026).
Common questions
- What is the difference between octoml-profile and oumi?
- octoml-profile: Home for OctoML PyTorch Profiler. 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 octoml-profile over oumi?
- Choose octoml-profile over oumi when Tags unique to octoml-profile: acceleration, performance optimization, profiling, pytorch; Need precise performance metrics on different backend architectures like CPU, GPU in cloud environments; Leaner open-issue backlog (0).
- When should I choose oumi over octoml-profile?
- Choose oumi over octoml-profile 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 octoml-profile?
- Development for local, offline usage only without remote profiling needs Working with PyTorch versions below 2.0 or incompatible with specific CUDA/Apple silicon versions outlined in installation guide
- 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 octoml-profile or oumi more popular on GitHub?
- oumi has more GitHub stars (9,376 vs 113). Stars measure visibility, not whether either tool fits your constraints.
- Are octoml-profile and oumi open source?
- Yes - both are open-source projects on GitHub (octoml-profile: Apache-2.0, oumi: Apache-2.0).
- Where can I find alternatives to octoml-profile or oumi?
- GraphCanon lists graph-backed alternatives at octoml-profile alternatives and oumi alternatives (octoml-profile 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, octoml-profile or oumi?
- octoml-profile: Dormant. 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 octoml-profile and oumi?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: octoml-profile trust report; oumi trust report.