Comparison
accelerate vs octoml-profile
Verdict
Pick accelerate if tool: accelerate; pick octoml-profile if octoML PyTorch Profiler provides profiling and acceleration tools for PyTorch models with remote execution capabilities.
Markdown twin · accelerate alternatives · octoml-profile alternatives
GraphCanon updated 3w
vs
Trust & integrity
| Signal | accelerate | octoml-profile |
|---|---|---|
| Maintenance | Very active (3d since push) As of 3w · github_public_v1 | Dormant (1197d since push) As of 3w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 3w · github_public_v1 | Not a fork · Organization account As of 3w · 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
- accelerate
- A tool for launching, training, and using PyTorch models with ease on various devices, configurations, including mixed precision support.
- octoml-profile
- Home for OctoML PyTorch Profiler
Stars
- accelerate
- 9.8k
- octoml-profile
- 113
Forks
- accelerate
- 1.4k
- octoml-profile
- 10
Open issues
- accelerate
- 105
- octoml-profile
- 0
Language
- accelerate
- Python
- octoml-profile
- -
Adopt for
- accelerate
- Tool: accelerate
- octoml-profile
- OctoML PyTorch Profiler provides profiling and acceleration tools for PyTorch models with remote execution capabilities.
Persona
- accelerate
- -
- octoml-profile
- -
Runtime
- accelerate
- -
- octoml-profile
- -
License
- accelerate
- Apache-2.0
- octoml-profile
- Apache-2.0
Last pushed
- accelerate
- Jul 30, 2026
- octoml-profile
- Apr 24, 2023
Categories
- accelerate
- Inference & Serving, Model Training
- octoml-profile
- Inference & Serving, Model Training
Trust and health
Maintenance
- accelerate
- Very active (96%)
- octoml-profile
- Dormant (18%)
Days since push
- accelerate
- 3d
- octoml-profile
- 1197d
Open issues (now)
- accelerate
- 105
- octoml-profile
- 0
Full report
- accelerate
- Trust report
- octoml-profile
- Trust report
Shared compatibility
- Python · accelerate: Python runtime · octoml-profile: Python runtime
Choose accelerate if…
- Tags unique to accelerate: deepspeed, fsdp, mixed precision.
- Easy mixed-precision support for PyTorch models
- More GitHub stars (9.8k vs 113) - visibility, not fit.
When NOT to use accelerate
- Non-PyTorch projects do not benefit from this tool
- Doesnt offer advanced auto-tuning features for other frameworks like TensorFlow
- Limited to Python environments compatible with PyTorch 1.10.0+
Choose octoml-profile if…
- Tags unique to octoml-profile: acceleration, performance optimization, profiling.
- 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
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (huggingface/accelerate) · observed Aug 3, 2026
- GitHub forks (huggingface/accelerate) · observed Aug 3, 2026
- Last push (huggingface/accelerate) · observed Jul 30, 2026
- License file (Apache-2.0) · observed Aug 3, 2026
- Decision facts (enrichment) · observed Jul 15, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- 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 on cards: accelerate 9.8k · octoml-profile 113 (synced Aug 3, 2026).
Common questions
- What is the difference between accelerate and octoml-profile?
- accelerate: A tool for launching, training, and using PyTorch models with ease on various devices, configurations, including mixed precision support.. octoml-profile: Home for OctoML PyTorch Profiler. See the comparison table for live GitHub stats and shared categories.
- When should I choose accelerate over octoml-profile?
- Choose accelerate over octoml-profile when Tags unique to accelerate: deepspeed, fsdp, mixed precision; Easy mixed-precision support for PyTorch models; More GitHub stars (9.8k vs 113) - visibility, not fit.
- When should I choose octoml-profile over accelerate?
- Choose octoml-profile over accelerate when Tags unique to octoml-profile: acceleration, performance optimization, profiling; Need precise performance metrics on different backend architectures like CPU, GPU in cloud environments; Leaner open-issue backlog (0).
- When should I avoid accelerate?
- Non-PyTorch projects do not benefit from this tool Doesnt offer advanced auto-tuning features for other frameworks like TensorFlow Limited to Python environments compatible with PyTorch 1.10.0+
- 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
- Is accelerate or octoml-profile more popular on GitHub?
- accelerate has more GitHub stars (9,803 vs 113). Stars measure visibility, not whether either tool fits your constraints.
- Are accelerate and octoml-profile open source?
- Yes - both are open-source projects on GitHub (accelerate: Apache-2.0, octoml-profile: Apache-2.0).
- Where can I find alternatives to accelerate or octoml-profile?
- GraphCanon lists graph-backed alternatives at accelerate alternatives and octoml-profile alternatives (accelerate markdown twin, octoml-profile 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, accelerate or octoml-profile?
- accelerate: Very active. octoml-profile: Dormant. 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 accelerate and octoml-profile?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: accelerate trust report; octoml-profile trust report.