Comparison
ColossalAI vs keras-tuner
Verdict
Pick ColossalAI when tags unique to ColossalAI: ai, big-model, heterogeneous-training, foundation-models; pick keras-tuner when tags unique to keras-tuner: automl, machine-learning, python, keras.
Markdown twin · ColossalAI alternatives · keras-tuner alternatives
GraphCanon updated today
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Trust & integrity
| Signal | ColossalAI | keras-tuner |
|---|---|---|
| Maintenance | Steady (46d since push) As of today · github_public_v1 | Slowing (222d 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
- ColossalAI
- Making large AI models cheaper, faster and more accessible
- keras-tuner
- A Hyperparameter Tuning Library for Keras
Stars
- ColossalAI
- 41k
- keras-tuner
- 2.9k
Forks
- ColossalAI
- 4.5k
- keras-tuner
- 404
Open issues
- ColossalAI
- 501
- keras-tuner
- 240
Language
- ColossalAI
- Python
- keras-tuner
- Python
Adopt for
- ColossalAI
- ColossalAI is a Python library that leverages advanced parallelism techniques for more efficient and cost-effective development of large-scale AI models.
- keras-tuner
- -
Persona
- ColossalAI
- -
- keras-tuner
- -
Runtime
- ColossalAI
- -
- keras-tuner
- -
License
- ColossalAI
- Apache-2.0
- keras-tuner
- Apache-2.0
Last pushed
- ColossalAI
- May 25, 2026
- keras-tuner
- Dec 1, 2025
Categories
- ColossalAI
- Model Training, Inference & Serving
- keras-tuner
- Model Training
Trust and health
Maintenance
- ColossalAI
- Steady (60%)
- keras-tuner
- Slowing (36%)
Days since push
- ColossalAI
- 46d
- keras-tuner
- 222d
Open issues (now)
- ColossalAI
- 501
- keras-tuner
- 240
Full report
- ColossalAI
- Trust report
- keras-tuner
- Trust report
Shared compatibility
- Python · ColossalAI: Python runtime · keras-tuner: Python runtime
Choose ColossalAI if…
- Tags unique to ColossalAI: ai, big-model, heterogeneous-training, foundation-models.
- Also covers Inference & Serving.
- You require handling extremely large AI models with massive context windows, such as over 2M tokens.
When NOT to use ColossalAI
- You are working in an environment that does not support Linux OS, as ColossalAI currently offers no support for other operating systems.
- Your current CUDA version is less than 11.0 or your GPU compute capability is below 7.0 (pre-V100/RTX20 series).
- You cannot satisfy the minimum hardware and software requirements specified, such as PyTorch >= 2.2 and Python >= 3.7.
Choose keras-tuner if…
- Tags unique to keras-tuner: automl, machine-learning, python, keras.
- Leaner open-issue backlog (240).
When NOT to use keras-tuner
- Last GitHub push was 222 days ago (slowing maintenance, Dec 1, 2025). Validate activity before betting a new project on keras-tuner.
- 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 (hpcaitech/ColossalAI) · observed Jul 11, 2026
- GitHub forks (hpcaitech/ColossalAI) · observed Jul 11, 2026
- Last push (hpcaitech/ColossalAI) · observed May 25, 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/keras-tuner) · observed Jul 11, 2026
- GitHub forks (keras-team/keras-tuner) · observed Jul 11, 2026
- Last push (keras-team/keras-tuner) · observed Dec 1, 2025
- License file (Apache-2.0) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: ColossalAI 41k · keras-tuner 2.9k (synced Jul 11, 2026).
Common questions
- What is the difference between ColossalAI and keras-tuner?
- ColossalAI: Making large AI models cheaper, faster and more accessible. keras-tuner: A Hyperparameter Tuning Library for Keras. See the comparison table for live GitHub stats and shared categories.
- When should I choose ColossalAI over keras-tuner?
- Choose ColossalAI over keras-tuner when Tags unique to ColossalAI: ai, big-model, heterogeneous-training, foundation-models; Also covers Inference & Serving; You require handling extremely large AI models with massive context windows, such as over 2M tokens.
- When should I choose keras-tuner over ColossalAI?
- Choose keras-tuner over ColossalAI when Tags unique to keras-tuner: automl, machine-learning, python, keras; Leaner open-issue backlog (240).
- When should I avoid ColossalAI?
- You are working in an environment that does not support Linux OS, as ColossalAI currently offers no support for other operating systems. Your current CUDA version is less than 11.0 or your GPU compute capability is below 7.0 (pre-V100/RTX20 series). You cannot satisfy the minimum hardware and software requirements specified, such as PyTorch >= 2.2 and Python >= 3.7.
- When should I avoid keras-tuner?
- Last GitHub push was 222 days ago (slowing maintenance, Dec 1, 2025). Validate activity before betting a new project on keras-tuner. Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge.
- Is ColossalAI or keras-tuner more popular on GitHub?
- ColossalAI has more GitHub stars (41,408 vs 2,922). Stars measure visibility, not whether either tool fits your constraints.
- Are ColossalAI and keras-tuner open source?
- Yes - both are open-source projects on GitHub (ColossalAI: Apache-2.0, keras-tuner: Apache-2.0).
- Where can I find alternatives to ColossalAI or keras-tuner?
- GraphCanon lists graph-backed alternatives at ColossalAI alternatives and keras-tuner alternatives (ColossalAI markdown twin, keras-tuner 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, ColossalAI or keras-tuner?
- ColossalAI: Steady. keras-tuner: 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 ColossalAI and keras-tuner?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: ColossalAI trust report; keras-tuner trust report.