Comparison
Auto-PyTorch vs ColossalAI
Verdict
Pick Auto-PyTorch when tags unique to Auto-PyTorch: automl, python, pytorch, tabular-data; pick ColossalAI when tags unique to ColossalAI: ai, big-model, data-parallelism, distributed-computing.
Markdown twin · Auto-PyTorch alternatives · ColossalAI alternatives
GraphCanon updated today
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Trust & integrity
| Signal | Auto-PyTorch | ColossalAI |
|---|---|---|
| Maintenance | Dormant (823d since push) As of today · github_public_v1 | Steady (46d 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) | 40 low (40 low) As of today · osv@v1 | No lockfile As of today · none |
Tagline
- Auto-PyTorch
- Automatic architecture search and hyperparameter optimization for PyTorch
- ColossalAI
- Making large AI models cheaper, faster and more accessible
Stars
- Auto-PyTorch
- 2.5k
- ColossalAI
- 41k
Forks
- Auto-PyTorch
- 303
- ColossalAI
- 4.5k
Open issues
- Auto-PyTorch
- 75
- ColossalAI
- 501
Language
- Auto-PyTorch
- Python
- ColossalAI
- Python
Adopt for
- Auto-PyTorch
- -
- ColossalAI
- ColossalAI is a Python library that leverages advanced parallelism techniques for more efficient and cost-effective development of large-scale AI models.
Persona
- Auto-PyTorch
- -
- ColossalAI
- -
Runtime
- Auto-PyTorch
- -
- ColossalAI
- -
License
- Auto-PyTorch
- Apache-2.0
- ColossalAI
- Apache-2.0
Last pushed
- Auto-PyTorch
- Apr 9, 2024
- ColossalAI
- May 25, 2026
Categories
- Auto-PyTorch
- Model Training
- ColossalAI
- Inference & Serving, Model Training
Trust and health
Maintenance
- Auto-PyTorch
- Dormant (18%)
- ColossalAI
- Steady (60%)
Days since push
- Auto-PyTorch
- 823d
- ColossalAI
- 46d
Open issues (now)
- Auto-PyTorch
- 75
- ColossalAI
- 501
Security scan
- Auto-PyTorch
- 40 low (40 low)
- ColossalAI
- No lockfile
Full report
- Auto-PyTorch
- Trust report
- ColossalAI
- Trust report
Shared compatibility
- Python · Auto-PyTorch: Python runtime · ColossalAI: Python runtime
Choose Auto-PyTorch if…
- Tags unique to Auto-PyTorch: automl, python, pytorch, tabular-data.
- Auto-PyTorch ships Docker support for self-hosted deployment.
- Leaner open-issue backlog (75).
When NOT to use Auto-PyTorch
- Last GitHub push was 824 days ago (dormant maintenance, Apr 9, 2024). Validate activity before betting a new project on Auto-PyTorch.
- Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge.
Choose ColossalAI if…
- Tags unique to ColossalAI: ai, big-model, data-parallelism, distributed-computing.
- 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.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (automl/Auto-PyTorch) · observed Jul 11, 2026
- GitHub forks (automl/Auto-PyTorch) · observed Jul 11, 2026
- Last push (automl/Auto-PyTorch) · observed Apr 9, 2024
- License file (Apache-2.0) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- 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 on cards: Auto-PyTorch 2.5k · ColossalAI 41k (synced Jul 11, 2026).
Common questions
- What is the difference between Auto-PyTorch and ColossalAI?
- Auto-PyTorch: Automatic architecture search and hyperparameter optimization for PyTorch. ColossalAI: Making large AI models cheaper, faster and more accessible. See the comparison table for live GitHub stats and shared categories.
- When should I choose Auto-PyTorch over ColossalAI?
- Choose Auto-PyTorch over ColossalAI when Tags unique to Auto-PyTorch: automl, python, pytorch, tabular-data; Auto-PyTorch ships Docker support for self-hosted deployment; Leaner open-issue backlog (75).
- When should I choose ColossalAI over Auto-PyTorch?
- Choose ColossalAI over Auto-PyTorch when Tags unique to ColossalAI: ai, big-model, data-parallelism, distributed-computing; Also covers Inference & Serving; You require handling extremely large AI models with massive context windows, such as over 2M tokens.
- When should I avoid Auto-PyTorch?
- Last GitHub push was 824 days ago (dormant maintenance, Apr 9, 2024). Validate activity before betting a new project on Auto-PyTorch. Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge.
- 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.
- Is Auto-PyTorch or ColossalAI more popular on GitHub?
- ColossalAI has more GitHub stars (41,408 vs 2,539). Stars measure visibility, not whether either tool fits your constraints.
- Are Auto-PyTorch and ColossalAI open source?
- Yes - both are open-source projects on GitHub (Auto-PyTorch: Apache-2.0, ColossalAI: Apache-2.0).
- Where can I find alternatives to Auto-PyTorch or ColossalAI?
- GraphCanon lists graph-backed alternatives at Auto-PyTorch alternatives and ColossalAI alternatives (Auto-PyTorch markdown twin, ColossalAI 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, Auto-PyTorch or ColossalAI?
- Auto-PyTorch: Dormant. ColossalAI: Steady. 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 Auto-PyTorch and ColossalAI?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: Auto-PyTorch trust report; ColossalAI trust report.