Comparison
ColossalAI vs MegEngine
Verdict
Pick ColossalAI if colossalAI is a Python library that leverages advanced parallelism techniques for more efficient and cost-effective development of large-scale AI models; pick MegEngine if megEngine是一个快速、可扩展且支持自动求导的深度学习框架，适用于多种平台和环境。它主要用C++编写，并以Apache-2.0许可分发。.
Markdown twin · ColossalAI alternatives · MegEngine alternatives
GraphCanon updated Sep 26, 2026
6views this month
vs
Trust & integrity
| Signal | ColossalAI | MegEngine |
|---|---|---|
| Maintenance | Very active (6d since push) As of Sep 6, 2026 · github_public_v1 | Dormant (701d since push) As of Sep 26, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Sep 6, 2026 · github_public_v1 | Not a fork · Organization account As of Sep 26, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Jul 11, 2026 · osv@v1 | No lockfile (source not queried) As of Jul 11, 2026 · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- ColossalAI
- Making large AI models cheaper, faster and more accessible
- MegEngine
- 一个快速、可拓展、易于使用且支持自动求导的深度学习框架
Stars
- ColossalAI
- 41k
- MegEngine
- 4.8k
Forks
- ColossalAI
- 4.5k
- MegEngine
- 544
Open issues
- ColossalAI
- 505
- MegEngine
- 173
Language
- ColossalAI
- Python
- MegEngine
- C++
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.
- MegEngine
- MegEngine是一个快速、可扩展且支持自动求导的深度学习框架，适用于多种平台和环境。它主要用C++编写，并以Apache-2.0许可分发。
Persona
- ColossalAI
- -
- MegEngine
- -
Runtime
- ColossalAI
- -
- MegEngine
- -
License
- ColossalAI
- Apache-2.0
- MegEngine
- Apache-2.0
Last pushed
- ColossalAI
- Aug 31, 2026
- MegEngine
- Oct 24, 2024
Categories
- ColossalAI
- Inference & Serving, Model Training
- MegEngine
- Model Training
Trust and health
Maintenance
- ColossalAI
- Very active (96%)
- MegEngine
- Dormant (18%)
Days since push
- ColossalAI
- 6d
- MegEngine
- 701d
Open issues (now)
- ColossalAI
- 505
- MegEngine
- 173
Stars delta
- ColossalAI
- +11 (30d)
- MegEngine
- 0 (30d)
Full report
- ColossalAI
- Trust report
- MegEngine
- Trust report
Shared compatibility
- Python · ColossalAI: Python runtime · MegEngine: Python runtime
Choose ColossalAI if…
- ColossalAI is primarily Python; MegEngine is C++.
- 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 (hpcaitech/ColossalAI) · observed Sep 20, 2026
- GitHub forks (hpcaitech/ColossalAI) · observed Sep 20, 2026
- Last push (hpcaitech/ColossalAI) · observed Aug 31, 2026
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (MegEngine/MegEngine) · observed Sep 26, 2026
- GitHub forks (MegEngine/MegEngine) · observed Sep 26, 2026
- Last push (MegEngine/MegEngine) · observed Oct 24, 2024
- License file (Apache-2.0) · observed Sep 26, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: ColossalAI 41k · MegEngine 4.8k (synced Sep 20, 2026).
Common questions
- What is the difference between ColossalAI and MegEngine?
- ColossalAI: Making large AI models cheaper, faster and more accessible. MegEngine: 一个快速、可拓展、易于使用且支持自动求导的深度学习框架. See the comparison table for live GitHub stats and shared categories.
- When should I choose ColossalAI over MegEngine?
- Choose ColossalAI over MegEngine when ColossalAI is primarily Python; MegEngine is C++; 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 choose MegEngine over ColossalAI?
- Choose MegEngine over ColossalAI when MegEngine is primarily C++; ColossalAI is Python; Tags unique to MegEngine: autograd, gpu, machine-learning, numpy; - 当您需要在Linux、Windows（WSL或直接）、MacOS（仅限CPU）和Android设备（仅限CPU）上使用Python进行深度学习项目时.
- 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 MegEngine?
- - Python3.63.9，，MegEnginePython
- Is ColossalAI or MegEngine more popular on GitHub?
- ColossalAI has more GitHub stars (41,443 vs 4,809). Stars measure visibility, not whether either tool fits your constraints.
- Are ColossalAI and MegEngine open source?
- Yes - both are open-source projects on GitHub (ColossalAI: Apache-2.0, MegEngine: Apache-2.0).
- Where can I find alternatives to ColossalAI or MegEngine?
- GraphCanon lists graph-backed alternatives at ColossalAI alternatives and MegEngine alternatives (ColossalAI markdown twin, MegEngine 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 MegEngine?
- ColossalAI: Very active. MegEngine: 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 MegEngine?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: ColossalAI trust report; MegEngine trust report.