Comparison
accelerate vs hyperopt
Verdict
Pick accelerate if tool: accelerate; pick hyperopt if hyperopt offers distributed asynchronous hyperparameter optimization with multiple optimizers like TPE and Annealing.
Markdown twin · accelerate alternatives · hyperopt alternatives
GraphCanon updated 3w
vs
Trust & integrity
| Signal | accelerate | hyperopt |
|---|---|---|
| Maintenance | Very active (3d since push) As of 3w · github_public_v1 | Very active (0d 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.
- hyperopt
- Distributed Asynchronous Hyperparameter Optimization in Python
Stars
- accelerate
- 9.8k
- hyperopt
- 7.6k
Forks
- accelerate
- 1.4k
- hyperopt
- 1.1k
Open issues
- accelerate
- 105
- hyperopt
- 9
Language
- accelerate
- Python
- hyperopt
- Python
Adopt for
- accelerate
- Tool: accelerate
- hyperopt
- Hyperopt offers distributed asynchronous hyperparameter optimization with multiple optimizers like TPE and Annealing.
Persona
- accelerate
- -
- hyperopt
- -
Runtime
- accelerate
- -
- hyperopt
- -
License
- accelerate
- Apache-2.0
- hyperopt
- Other
Last pushed
- accelerate
- Jul 30, 2026
- hyperopt
- Aug 3, 2026
Categories
- accelerate
- Inference & Serving, Model Training
- hyperopt
- Model Training
Trust and health
Days since push
- accelerate
- 3d
- hyperopt
- 0d
Open issues (now)
- accelerate
- 105
- hyperopt
- 9
Full report
- accelerate
- Trust report
- hyperopt
- Trust report
Shared compatibility
- Python · accelerate: Python runtime · hyperopt: Python runtime
Choose accelerate if…
- License: accelerate is Apache-2.0, hyperopt is Other.
- Tags unique to accelerate: deepspeed, fsdp, mixed precision, pytorch.
- Also covers Inference & Serving.
- Easy mixed-precision support for PyTorch models
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 hyperopt if…
- License: hyperopt is Other, accelerate is Apache-2.0.
- Tags unique to hyperopt: annealing, asynchronous, distributed-computing, hyperparameter-optimization.
- When you need to optimize machine learning model parameters on a distributed system asynchronously.
When NOT to use hyperopt
- If your project does not support asynchronous execution, opting for synchronous tools might be more suitable.
- Avoid if you prefer a simpler setup without the complexity of distributed systems and instead need straightforward hyperparameter tuning options.
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 (hyperopt/hyperopt) · observed Aug 4, 2026
- GitHub forks (hyperopt/hyperopt) · observed Aug 4, 2026
- Last push (hyperopt/hyperopt) · observed Aug 3, 2026
- License file (Other) · 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 · hyperopt 7.6k (synced Aug 3, 2026).
Common questions
- What is the difference between accelerate and hyperopt?
- accelerate: A tool for launching, training, and using PyTorch models with ease on various devices, configurations, including mixed precision support.. hyperopt: Distributed Asynchronous Hyperparameter Optimization in Python. See the comparison table for live GitHub stats and shared categories.
- When should I choose accelerate over hyperopt?
- Choose accelerate over hyperopt when License: accelerate is Apache-2.0, hyperopt is Other; Tags unique to accelerate: deepspeed, fsdp, mixed precision, pytorch; Also covers Inference & Serving; Easy mixed-precision support for PyTorch models.
- When should I choose hyperopt over accelerate?
- Choose hyperopt over accelerate when License: hyperopt is Other, accelerate is Apache-2.0; Tags unique to hyperopt: annealing, asynchronous, distributed-computing, hyperparameter-optimization; When you need to optimize machine learning model parameters on a distributed system asynchronously.
- 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 hyperopt?
- If your project does not support asynchronous execution, opting for synchronous tools might be more suitable. Avoid if you prefer a simpler setup without the complexity of distributed systems and instead need straightforward hyperparameter tuning options.
- Is accelerate or hyperopt more popular on GitHub?
- accelerate has more GitHub stars (9,803 vs 7,598). Stars measure visibility, not whether either tool fits your constraints.
- Are accelerate and hyperopt open source?
- Yes - both are open-source projects on GitHub (accelerate: Apache-2.0, hyperopt: Other).
- Where can I find alternatives to accelerate or hyperopt?
- GraphCanon lists graph-backed alternatives at accelerate alternatives and hyperopt alternatives (accelerate markdown twin, hyperopt 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 hyperopt?
- accelerate: Very active. hyperopt: 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 accelerate and hyperopt?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: accelerate trust report; hyperopt trust report.