Comparison
DeepSpeed vs autokeras
Verdict
Pick DeepSpeed when tags unique to DeepSpeed: gpu, compression, billion-parameters, mixture-of-experts; pick autokeras when tags unique to autokeras: automl, neural-architecture-search, python, keras.
Markdown twin · DeepSpeed alternatives · autokeras alternatives
GraphCanon updated today
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Trust & integrity
| Signal | DeepSpeed | autokeras |
|---|---|---|
| Maintenance | Very active (0d since push) As of today · github_public_v1 | Slowing (228d since push) As of today · github_public_v1 |
| Provenance | Not a fork · Organization account As of today · github_public_v1 | Not a fork · Organization account As of today · github_public_v1 |
| Security (OSV) | No lockfile As of today · none | No lockfile As of today · none |
Tagline
- DeepSpeed
- Deep learning optimization library for efficient distributed training and inference
- autokeras
- AutoML library for deep learning
Stars
- DeepSpeed
- 43k
- autokeras
- 9.3k
Forks
- DeepSpeed
- 4.9k
- autokeras
- 1.4k
Open issues
- DeepSpeed
- 1.3k
- autokeras
- 160
Language
- DeepSpeed
- Python
- autokeras
- Python
Adopt for
- DeepSpeed
- Decisions for DeepSpeed use are driven by its capacity to handle large models efficiently using techniques such as data parallelism, model parallelism, pipeline parallelism, and compression.
- autokeras
- -
Persona
- DeepSpeed
- -
- autokeras
- -
Runtime
- DeepSpeed
- -
- autokeras
- -
License
- DeepSpeed
- Apache-2.0
- autokeras
- Apache-2.0
Last pushed
- DeepSpeed
- Jul 11, 2026
- autokeras
- Nov 25, 2025
Categories
- DeepSpeed
- Model Training, Inference & Serving
- autokeras
- Model Training
Trust and health
Maintenance
- DeepSpeed
- Very active (96%)
- autokeras
- Slowing (36%)
Days since push
- DeepSpeed
- 0d
- autokeras
- 228d
Open issues (now)
- DeepSpeed
- 1.3k
- autokeras
- 160
Full report
- DeepSpeed
- Trust report
- autokeras
- Trust report
Choose DeepSpeed if…
- Tags unique to DeepSpeed: gpu, compression, billion-parameters, mixture-of-experts.
- Also covers Inference & Serving.
- - When training or inferring with PyTorch on large datasets or complex deep learning models (up to trillion parameters)
When NOT to use DeepSpeed
- - When you are working in an environment that only supports CPU-based training without access to CUDA or ROCm compatible GPUs
- - If your project's PyTorch version is less than 2.0, DeepSpeed may not support all of its features and optimizations effectively
Choose autokeras if…
- Tags unique to autokeras: automl, neural-architecture-search, python, keras.
- Leaner open-issue backlog (160).
When NOT to use autokeras
- Last GitHub push was 229 days ago (slowing maintenance, Nov 25, 2025). Validate activity before betting a new project on autokeras.
- Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (deepspeedai/DeepSpeed) · observed Jul 11, 2026
- GitHub forks (deepspeedai/DeepSpeed) · observed Jul 11, 2026
- Last push (deepspeedai/DeepSpeed) · observed Jul 11, 2026
- License file (Apache-2.0) · observed Jul 11, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (keras-team/autokeras) · observed Jul 11, 2026
- GitHub forks (keras-team/autokeras) · observed Jul 11, 2026
- Last push (keras-team/autokeras) · observed Nov 25, 2025
- License file (Apache-2.0) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: DeepSpeed 43k · autokeras 9.3k (synced Jul 11, 2026).
Common questions
- What is the difference between DeepSpeed and autokeras?
- DeepSpeed: Deep learning optimization library for efficient distributed training and inference. autokeras: AutoML library for deep learning. See the comparison table for live GitHub stats and shared categories.
- When should I choose DeepSpeed over autokeras?
- Choose DeepSpeed over autokeras when Tags unique to DeepSpeed: gpu, compression, billion-parameters, mixture-of-experts; Also covers Inference & Serving; - When training or inferring with PyTorch on large datasets or complex deep learning models (up to trillion parameters).
- When should I choose autokeras over DeepSpeed?
- Choose autokeras over DeepSpeed when Tags unique to autokeras: automl, neural-architecture-search, python, keras; Leaner open-issue backlog (160).
- When should I avoid DeepSpeed?
- - When you are working in an environment that only supports CPU-based training without access to CUDA or ROCm compatible GPUs - If your project's PyTorch version is less than 2.0, DeepSpeed may not support all of its features and optimizations effectively
- When should I avoid autokeras?
- Last GitHub push was 229 days ago (slowing maintenance, Nov 25, 2025). Validate activity before betting a new project on autokeras. Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge.
- Is DeepSpeed or autokeras more popular on GitHub?
- DeepSpeed has more GitHub stars (42,685 vs 9,321). Stars measure visibility, not whether either tool fits your constraints.
- Are DeepSpeed and autokeras open source?
- Yes - both are open-source projects on GitHub (DeepSpeed: Apache-2.0, autokeras: Apache-2.0).
- Where can I find alternatives to DeepSpeed or autokeras?
- GraphCanon lists graph-backed alternatives at DeepSpeed alternatives and autokeras alternatives (DeepSpeed 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, DeepSpeed or autokeras?
- DeepSpeed: 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 DeepSpeed and autokeras?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: DeepSpeed trust report; autokeras trust report.