Comparison
ColossalAI vs learn2learn
Verdict
Pick ColossalAI when license: ColossalAI is Apache-2.0, learn2learn is MIT; pick learn2learn when license: learn2learn is MIT, ColossalAI is Apache-2.0.
Markdown twin · ColossalAI alternatives · learn2learn alternatives
GraphCanon updated today
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Trust & integrity
| Signal | ColossalAI | learn2learn |
|---|---|---|
| Maintenance | Steady (46d since push) As of 1d · github_public_v1 | Slowing (207d since push) As of today · github_public_v1 |
| Provenance | Not a fork · Organization account As of 1d · github_public_v1 | Not a fork · Organization account As of today · github_public_v1 |
| Security (OSV) | No lockfile As of 1d · none | No criticals As of today · osv@v1 |
Tagline
- ColossalAI
- Making large AI models cheaper, faster and more accessible
- learn2learn
- A PyTorch Library for Meta-learning Research
Stars
- ColossalAI
- 41k
- learn2learn
- 2.9k
Forks
- ColossalAI
- 4.5k
- learn2learn
- 359
Open issues
- ColossalAI
- 501
- learn2learn
- 34
Language
- ColossalAI
- Python
- learn2learn
- 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.
- learn2learn
- -
Persona
- ColossalAI
- -
- learn2learn
- -
Runtime
- ColossalAI
- -
- learn2learn
- -
License
- ColossalAI
- Apache-2.0
- learn2learn
- MIT
Last pushed
- ColossalAI
- May 25, 2026
- learn2learn
- Dec 16, 2025
Categories
- ColossalAI
- Inference & Serving, Model Training
- learn2learn
- Model Training
Trust and health
Maintenance
- ColossalAI
- Steady (60%)
- learn2learn
- Slowing (36%)
Days since push
- ColossalAI
- 46d
- learn2learn
- 207d
Open issues (now)
- ColossalAI
- 501
- learn2learn
- 34
Security scan
- ColossalAI
- No lockfile
- learn2learn
- No criticals
Full report
- ColossalAI
- Trust report
- learn2learn
- Trust report
Shared compatibility
- Python · ColossalAI: Python runtime · learn2learn: Python runtime
Choose ColossalAI if…
- License: ColossalAI is Apache-2.0, learn2learn is MIT.
- 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 learn2learn if…
- License: learn2learn is MIT, ColossalAI is Apache-2.0.
- Tags unique to learn2learn: few-shot, finetuning, learn2learn, learning2learn.
- Leaner open-issue backlog (34).
When NOT to use learn2learn
- Last GitHub push was 207 days ago (slowing maintenance, Dec 16, 2025). Validate activity before betting a new project on learn2learn.
- 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 (learnables/learn2learn) · observed Jul 11, 2026
- GitHub forks (learnables/learn2learn) · observed Jul 11, 2026
- Last push (learnables/learn2learn) · observed Dec 16, 2025
- License file (MIT) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: ColossalAI 41k · learn2learn 2.9k (synced Jul 11, 2026).
Common questions
- What is the difference between ColossalAI and learn2learn?
- ColossalAI: Making large AI models cheaper, faster and more accessible. learn2learn: A PyTorch Library for Meta-learning Research. See the comparison table for live GitHub stats and shared categories.
- When should I choose ColossalAI over learn2learn?
- Choose ColossalAI over learn2learn when License: ColossalAI is Apache-2.0, learn2learn is MIT; 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 learn2learn over ColossalAI?
- Choose learn2learn over ColossalAI when License: learn2learn is MIT, ColossalAI is Apache-2.0; Tags unique to learn2learn: few-shot, finetuning, learn2learn, learning2learn; Leaner open-issue backlog (34).
- 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 learn2learn?
- Last GitHub push was 207 days ago (slowing maintenance, Dec 16, 2025). Validate activity before betting a new project on learn2learn. Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge.
- Is ColossalAI or learn2learn more popular on GitHub?
- ColossalAI has more GitHub stars (41,408 vs 2,888). Stars measure visibility, not whether either tool fits your constraints.
- Are ColossalAI and learn2learn open source?
- Yes - both are open-source projects on GitHub (ColossalAI: Apache-2.0, learn2learn: MIT).
- Where can I find alternatives to ColossalAI or learn2learn?
- GraphCanon lists graph-backed alternatives at ColossalAI alternatives and learn2learn alternatives (ColossalAI markdown twin, learn2learn 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 learn2learn?
- ColossalAI: Steady. learn2learn: 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 learn2learn?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: ColossalAI trust report; learn2learn trust report.