Comparison
FATE vs ColossalAI
Verdict
Pick FATE when tags unique to FATE: fate, algorithm, machine-learning, python; pick ColossalAI when tags unique to ColossalAI: deep-learning, ai, big-model, heterogeneous-training.
Markdown twin · FATE alternatives · ColossalAI alternatives
GraphCanon updated today
vs
Trust & integrity
| Signal | FATE | ColossalAI |
|---|---|---|
| Maintenance | Dormant (599d 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) | No lockfile As of today · none | No lockfile As of today · none |
Tagline
- FATE
- An Industrial Grade Federated Learning Framework
- ColossalAI
- Making large AI models cheaper, faster and more accessible
Stars
- FATE
- 6.1k
- ColossalAI
- 41k
Forks
- FATE
- 1.6k
- ColossalAI
- 4.5k
Open issues
- FATE
- 21
- ColossalAI
- 501
Language
- FATE
- Python
- ColossalAI
- Python
Adopt for
- FATE
- -
- ColossalAI
- ColossalAI is a Python library that leverages advanced parallelism techniques for more efficient and cost-effective development of large-scale AI models.
Persona
- FATE
- -
- ColossalAI
- -
Runtime
- FATE
- -
- ColossalAI
- -
License
- FATE
- Apache-2.0
- ColossalAI
- Apache-2.0
Last pushed
- FATE
- Nov 19, 2024
- ColossalAI
- May 25, 2026
Categories
- FATE
- Model Training, Computer Vision, Inference & Serving
- ColossalAI
- Model Training, Inference & Serving
Trust and health
Maintenance
- FATE
- Dormant (18%)
- ColossalAI
- Steady (60%)
Days since push
- FATE
- 599d
- ColossalAI
- 46d
Open issues (now)
- FATE
- 21
- ColossalAI
- 501
Full report
- FATE
- Trust report
- ColossalAI
- Trust report
Choose FATE if…
- Tags unique to FATE: fate, algorithm, machine-learning, python.
- Also covers Computer Vision.
- Leaner open-issue backlog (21).
When NOT to use FATE
- Last GitHub push was 599 days ago (dormant maintenance, Nov 19, 2024). Validate activity before betting a new project on FATE.
- 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.
Choose ColossalAI if…
- Tags unique to ColossalAI: deep-learning, ai, big-model, heterogeneous-training.
- You require handling extremely large AI models with massive context windows, such as over 2M tokens.
- More GitHub stars (41k vs 6.1k) - visibility, not fit.
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 (FederatedAI/FATE) · observed Jul 11, 2026
- GitHub forks (FederatedAI/FATE) · observed Jul 11, 2026
- Last push (FederatedAI/FATE) · observed Nov 19, 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: FATE 6.1k · ColossalAI 41k (synced Jul 11, 2026).
Common questions
- What is the difference between FATE and ColossalAI?
- FATE: An Industrial Grade Federated Learning Framework. 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 FATE over ColossalAI?
- Choose FATE over ColossalAI when Tags unique to FATE: fate, algorithm, machine-learning, python; Also covers Computer Vision; Leaner open-issue backlog (21).
- When should I choose ColossalAI over FATE?
- Choose ColossalAI over FATE when Tags unique to ColossalAI: deep-learning, ai, big-model, heterogeneous-training; You require handling extremely large AI models with massive context windows, such as over 2M tokens; More GitHub stars (41k vs 6.1k) - visibility, not fit.
- When should I avoid FATE?
- Last GitHub push was 599 days ago (dormant maintenance, Nov 19, 2024). Validate activity before betting a new project on FATE. 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.
- 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 FATE or ColossalAI more popular on GitHub?
- ColossalAI has more GitHub stars (41,408 vs 6,084). Stars measure visibility, not whether either tool fits your constraints.
- Are FATE and ColossalAI open source?
- Yes - both are open-source projects on GitHub (FATE: Apache-2.0, ColossalAI: Apache-2.0).
- Where can I find alternatives to FATE or ColossalAI?
- GraphCanon lists graph-backed alternatives at FATE alternatives and ColossalAI alternatives (FATE 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, FATE or ColossalAI?
- FATE: 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 FATE and ColossalAI?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: FATE trust report; ColossalAI trust report.