Comparison
accelerate vs autokeras
Verdict
Pick accelerate if tool: accelerate; pick autokeras if autoKeras simplifies deep learning model design through automated neural architecture search and is compatible with Python 3.7+ and TensorFlow 2.8.0+.
Markdown twin · accelerate alternatives · autokeras alternatives
GraphCanon updated 3w
vs
Trust & integrity
| Signal | accelerate | autokeras |
|---|---|---|
| Maintenance | Very active (3d since push) As of 3w · github_public_v1 | Slowing (251d 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.
- autokeras
- AutoML library for deep learning
Stars
- accelerate
- 9.8k
- autokeras
- 9.3k
Forks
- accelerate
- 1.4k
- autokeras
- 1.4k
Open issues
- accelerate
- 105
- autokeras
- 161
Language
- accelerate
- Python
- autokeras
- Python
Adopt for
- accelerate
- Tool: accelerate
- autokeras
- AutoKeras simplifies deep learning model design through automated neural architecture search and is compatible with Python 3.7+ and TensorFlow 2.8.0+.
Persona
- accelerate
- -
- autokeras
- -
Runtime
- accelerate
- -
- autokeras
- -
License
- accelerate
- Apache-2.0
- autokeras
- Apache-2.0
Last pushed
- accelerate
- Jul 30, 2026
- autokeras
- Nov 25, 2025
Categories
- accelerate
- Inference & Serving, Model Training
- autokeras
- Developer Tools, Model Training
Trust and health
Maintenance
- accelerate
- Very active (96%)
- autokeras
- Slowing (36%)
Days since push
- accelerate
- 3d
- autokeras
- 251d
Open issues (now)
- accelerate
- 105
- autokeras
- 161
Full report
- accelerate
- Trust report
- autokeras
- Trust report
Shared compatibility
- Python · accelerate: Python runtime · autokeras: Python runtime
Choose accelerate if…
- 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 autokeras if…
- Tags unique to autokeras: autodl, automl, deep-learning, keras.
- Also covers Developer Tools.
- When your project involves deep learning tasks requiring minimal manual intervention in designing models.
When NOT to use autokeras
- When working with Python versions older than 3.7 or TensorFlow versions older than 2.8.0, as AutoKeras is not compatible.
- If your project emphasizes transparent, understandable model architecture over automated generation without human oversight.
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 (keras-team/autokeras) · observed Aug 4, 2026
- GitHub forks (keras-team/autokeras) · observed Aug 4, 2026
- Last push (keras-team/autokeras) · observed Nov 25, 2025
- 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 · autokeras 9.3k (synced Aug 3, 2026).
Common questions
- What is the difference between accelerate and autokeras?
- accelerate: A tool for launching, training, and using PyTorch models with ease on various devices, configurations, including mixed precision support.. autokeras: AutoML library for deep learning. See the comparison table for live GitHub stats and shared categories.
- When should I choose accelerate over autokeras?
- Choose accelerate over autokeras when Tags unique to accelerate: deepspeed, fsdp, mixed precision, pytorch; Also covers Inference & Serving; Easy mixed-precision support for PyTorch models.
- When should I choose autokeras over accelerate?
- Choose autokeras over accelerate when Tags unique to autokeras: autodl, automl, deep-learning, keras; Also covers Developer Tools; When your project involves deep learning tasks requiring minimal manual intervention in designing models.
- 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 autokeras?
- When working with Python versions older than 3.7 or TensorFlow versions older than 2.8.0, as AutoKeras is not compatible. If your project emphasizes transparent, understandable model architecture over automated generation without human oversight.
- Is accelerate or autokeras more popular on GitHub?
- accelerate has more GitHub stars (9,803 vs 9,328). Stars measure visibility, not whether either tool fits your constraints.
- Are accelerate and autokeras open source?
- Yes - both are open-source projects on GitHub (accelerate: Apache-2.0, autokeras: Apache-2.0).
- Where can I find alternatives to accelerate or autokeras?
- GraphCanon lists graph-backed alternatives at accelerate alternatives and autokeras alternatives (accelerate markdown twin, autokeras 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 autokeras?
- accelerate: Very active. autokeras: Slowing. 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 autokeras?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: accelerate trust report; autokeras trust report.