Comparison
ColossalAI vs hyperband
Verdict
Pick ColossalAI when license: ColossalAI is Apache-2.0, hyperband is Other; pick hyperband when license: hyperband is Other, ColossalAI is Apache-2.0.
Markdown twin · ColossalAI alternatives · hyperband alternatives
GraphCanon updated today
vs
Trust & integrity
| Signal | ColossalAI | hyperband |
|---|---|---|
| Maintenance | Steady (46d since push) As of 1d · github_public_v1 | Dormant (2887d since push) As of today · github_public_v1 |
| Provenance | Not a fork · Organization account As of 1d · github_public_v1 | Not a fork · Personal account As of today · github_public_v1 |
| Security (OSV) | No lockfile As of 1d · none | No lockfile As of today · none |
Tagline
- ColossalAI
- Making large AI models cheaper, faster and more accessible
- hyperband
- Tuning hyperparams fast with Hyperband
Stars
- ColossalAI
- 41k
- hyperband
- 598
Forks
- ColossalAI
- 4.5k
- hyperband
- 73
Open issues
- ColossalAI
- 501
- hyperband
- 9
Language
- ColossalAI
- Python
- hyperband
- 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.
- hyperband
- -
Persona
- ColossalAI
- -
- hyperband
- -
Runtime
- ColossalAI
- -
- hyperband
- -
License
- ColossalAI
- Apache-2.0
- hyperband
- Other
Last pushed
- ColossalAI
- May 25, 2026
- hyperband
- Aug 15, 2018
Categories
- ColossalAI
- Inference & Serving, Model Training
- hyperband
- Model Training
Trust and health
Maintenance
- ColossalAI
- Steady (60%)
- hyperband
- Dormant (18%)
Days since push
- ColossalAI
- 46d
- hyperband
- 2887d
Open issues (now)
- ColossalAI
- 501
- hyperband
- 9
Owner type
- ColossalAI
- Organization
- hyperband
- User
Full report
- ColossalAI
- Trust report
- hyperband
- Trust report
Shared compatibility
- Python · ColossalAI: Python runtime · hyperband: Python runtime
Choose ColossalAI if…
- License: ColossalAI is Apache-2.0, hyperband is Other.
- Tags unique to ColossalAI: ai, big model, data-parallelism, deep-learning.
- 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 hyperband if…
- License: hyperband is Other, ColossalAI is Apache-2.0.
- Tags unique to hyperband: gradient-boosting, gradient-boosting-classifier, hyperparameter-optimization, hyperparameter-tuning.
- Leaner open-issue backlog (9).
When NOT to use hyperband
- Last GitHub push was 2888 days ago (dormant maintenance, Aug 15, 2018). Validate activity before betting a new project on hyperband.
- 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 (zygmuntz/hyperband) · observed Jul 11, 2026
- GitHub forks (zygmuntz/hyperband) · observed Jul 11, 2026
- Last push (zygmuntz/hyperband) · observed Aug 15, 2018
- License file (Other) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: ColossalAI 41k · hyperband 598 (synced Jul 11, 2026).
Common questions
- What is the difference between ColossalAI and hyperband?
- ColossalAI: Making large AI models cheaper, faster and more accessible. hyperband: Tuning hyperparams fast with Hyperband. See the comparison table for live GitHub stats and shared categories.
- When should I choose ColossalAI over hyperband?
- Choose ColossalAI over hyperband when License: ColossalAI is Apache-2.0, hyperband is Other; Tags unique to ColossalAI: ai, big model, data-parallelism, deep-learning; Also covers Inference & Serving; You require handling extremely large AI models with massive context windows, such as over 2M tokens.
- When should I choose hyperband over ColossalAI?
- Choose hyperband over ColossalAI when License: hyperband is Other, ColossalAI is Apache-2.0; Tags unique to hyperband: gradient-boosting, gradient-boosting-classifier, hyperparameter-optimization, hyperparameter-tuning; Leaner open-issue backlog (9).
- 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 hyperband?
- Last GitHub push was 2888 days ago (dormant maintenance, Aug 15, 2018). Validate activity before betting a new project on hyperband. Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge.
- Is ColossalAI or hyperband more popular on GitHub?
- ColossalAI has more GitHub stars (41,408 vs 598). Stars measure visibility, not whether either tool fits your constraints.
- Are ColossalAI and hyperband open source?
- Yes - both are open-source projects on GitHub (ColossalAI: Apache-2.0, hyperband: Other).
- Where can I find alternatives to ColossalAI or hyperband?
- GraphCanon lists graph-backed alternatives at ColossalAI alternatives and hyperband alternatives (ColossalAI markdown twin, hyperband 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 hyperband?
- ColossalAI: Steady. hyperband: 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 ColossalAI and hyperband?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: ColossalAI trust report; hyperband trust report.