Comparison
ColossalAI vs alice
Verdict
Pick ColossalAI when colossalAI is primarily Python; alice is JavaScript; pick alice when alice is primarily JavaScript; ColossalAI is Python.
Markdown twin · ColossalAI alternatives · alice alternatives
GraphCanon updated today
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Trust & integrity
| Signal | ColossalAI | alice |
|---|---|---|
| Maintenance | Steady (46d since push) As of today · github_public_v1 | Steady (75d since push) As of today · github_public_v1 |
| Provenance | Not a fork · Organization account As of today · github_public_v1 | Not a fork · Personal 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
- alice
- Analyse · Learn · Ingest · Curate · Export — AI-powered YOLO dataset management toolkit
Stars
- ColossalAI
- 41k
- alice
- 366
Forks
- ColossalAI
- 4.5k
- alice
- 34
Open issues
- ColossalAI
- 501
- alice
- 0
Language
- ColossalAI
- Python
- alice
- JavaScript
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.
- alice
- -
Persona
- ColossalAI
- -
- alice
- -
Runtime
- ColossalAI
- -
- alice
- -
License
- ColossalAI
- Apache-2.0
- alice
- Other
Last pushed
- ColossalAI
- May 25, 2026
- alice
- Apr 26, 2026
Categories
- ColossalAI
- Model Training, Inference & Serving
- alice
- Vector Databases, Model Training, Inference & Serving
Trust and health
Days since push
- ColossalAI
- 46d
- alice
- 75d
Open issues (now)
- ColossalAI
- 501
- alice
- 0
Owner type
- ColossalAI
- Organization
- alice
- User
Full report
- ColossalAI
- Trust report
- alice
- Trust report
Shared compatibility
- Python · ColossalAI: Python runtime · alice: Python runtime
Choose ColossalAI if…
- ColossalAI is primarily Python; alice is JavaScript.
- License: ColossalAI is Apache-2.0, alice is Other.
- Tags unique to ColossalAI: deep-learning, big-model, heterogeneous-training, foundation models.
- 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 alice if…
- alice is primarily JavaScript; ColossalAI is Python.
- License: alice is Other, ColossalAI is Apache-2.0.
- Tags unique to alice: nvidia-cuda, dataset, annotation, frigate.
- Also covers Vector Databases.
- alice ships Docker support for self-hosted deployment.
When NOT to use alice
- Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate.
- Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge.
- Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic.
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 (simoncirstoiu/alice) · observed Jul 11, 2026
- GitHub forks (simoncirstoiu/alice) · observed Jul 11, 2026
- Last push (simoncirstoiu/alice) · observed Apr 26, 2026
- License file (Other) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: ColossalAI 41k · alice 366 (synced Jul 11, 2026).
Common questions
- What is the difference between ColossalAI and alice?
- ColossalAI: Making large AI models cheaper, faster and more accessible. alice: Analyse · Learn · Ingest · Curate · Export — AI-powered YOLO dataset management toolkit. See the comparison table for live GitHub stats and shared categories.
- When should I choose ColossalAI over alice?
- Choose ColossalAI over alice when ColossalAI is primarily Python; alice is JavaScript; License: ColossalAI is Apache-2.0, alice is Other; Tags unique to ColossalAI: deep-learning, big-model, heterogeneous-training, foundation models; You require handling extremely large AI models with massive context windows, such as over 2M tokens.
- When should I choose alice over ColossalAI?
- Choose alice over ColossalAI when alice is primarily JavaScript; ColossalAI is Python; License: alice is Other, ColossalAI is Apache-2.0; Tags unique to alice: nvidia-cuda, dataset, annotation, frigate; Also covers Vector Databases; alice ships Docker support for self-hosted deployment.
- 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 alice?
- Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate. Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge. Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic.
- Is ColossalAI or alice more popular on GitHub?
- ColossalAI has more GitHub stars (41,408 vs 366). Stars measure visibility, not whether either tool fits your constraints.
- Are ColossalAI and alice open source?
- Yes - both are open-source projects on GitHub (ColossalAI: Apache-2.0, alice: Other).
- Where can I find alternatives to ColossalAI or alice?
- GraphCanon lists graph-backed alternatives at ColossalAI alternatives and alice alternatives (ColossalAI markdown twin, alice 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 alice?
- ColossalAI: Steady. alice: 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 ColossalAI and alice?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: ColossalAI trust report; alice trust report.