Comparison
ColossalAI vs mindspore
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 mindspore if mindSpore's core strengths lie in its flexibility across Ascend910, GPU CUDA 10.1, and CPU setups on multiple OSes; it excels in mobile, edge, and cloud scenarios.
Markdown twin · ColossalAI alternatives · mindspore alternatives
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Trust & integrity
| Signal | ColossalAI | mindspore |
|---|---|---|
| Maintenance | Steady (46d since push) As of 1d · github_public_v1 | Dormant (712d since push) As of 1d · github_public_v1 |
| Provenance | Not a fork · Organization account As of 1d · github_public_v1 | Not a fork · Organization account As of 1d · github_public_v1 |
| Security (OSV) | No lockfile As of 1d · none | 103 low (103 low) As of 1d · osv@v1 |
Tagline
- ColossalAI
- Making large AI models cheaper, faster and more accessible
- mindspore
- An open-source deep learning framework for mobile, edge and cloud scenarios.
Stars
- ColossalAI
- 41k
- mindspore
- 4.7k
Forks
- ColossalAI
- 4.5k
- mindspore
- 752
Open issues
- ColossalAI
- 501
- mindspore
- 225
Language
- ColossalAI
- Python
- mindspore
- 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.
- mindspore
- MindSpore's core strengths lie in its flexibility across Ascend910, GPU CUDA 10.1, and CPU setups on multiple OSes; it excels in mobile, edge, and cloud scenarios.
Persona
- ColossalAI
- -
- mindspore
- -
Runtime
- ColossalAI
- -
- mindspore
- -
License
- ColossalAI
- Apache-2.0
- mindspore
- Apache-2.0
Last pushed
- ColossalAI
- May 25, 2026
- mindspore
- Jul 29, 2024
Categories
- ColossalAI
- Inference & Serving, Model Training
- mindspore
- Inference & Serving, Model Training
Trust and health
Maintenance
- ColossalAI
- Steady (60%)
- mindspore
- Dormant (18%)
Days since push
- ColossalAI
- 46d
- mindspore
- 712d
Open issues (now)
- ColossalAI
- 501
- mindspore
- 225
Security scan
- ColossalAI
- No lockfile
- mindspore
- 103 low (103 low)
Full report
- ColossalAI
- Trust report
- mindspore
- Trust report
Shared compatibility
- Python · ColossalAI: Python runtime · mindspore: Python runtime
Choose ColossalAI if…
- ColossalAI is primarily Python; mindspore is C++.
- Tags unique to ColossalAI: ai, big model, data-parallelism, distributed-computing.
- 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 mindspore if…
- mindspore is primarily C++; ColossalAI is Python.
- Tags unique to mindspore: ascend910, cpu support, gpu support, inference framework.
- When working with Huawei's Ascend hardware like Ascend910
When NOT to use mindspore
- Avoid if only NVIDIA GPUs without CUDA 10.1 support are available
- Not ideal for users requiring non-LINUX (excluding Windows) environments beyond specified Ubuntu/CentOS/x86 versions
- If development primarily targets hardware not covered by MindSpore's Ascend, CUDA, or CPU setups
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 (mindspore-ai/mindspore) · observed Jul 11, 2026
- GitHub forks (mindspore-ai/mindspore) · observed Jul 11, 2026
- Last push (mindspore-ai/mindspore) · observed Jul 29, 2024
- License file (Apache-2.0) · observed Jul 11, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: ColossalAI 41k · mindspore 4.7k (synced Jul 11, 2026).
Common questions
- What is the difference between ColossalAI and mindspore?
- ColossalAI: Making large AI models cheaper, faster and more accessible. mindspore: An open-source deep learning framework for mobile, edge and cloud scenarios.. See the comparison table for live GitHub stats and shared categories.
- When should I choose ColossalAI over mindspore?
- Choose ColossalAI over mindspore when ColossalAI is primarily Python; mindspore is C++; Tags unique to ColossalAI: ai, big model, data-parallelism, distributed-computing; You require handling extremely large AI models with massive context windows, such as over 2M tokens.
- When should I choose mindspore over ColossalAI?
- Choose mindspore over ColossalAI when mindspore is primarily C++; ColossalAI is Python; Tags unique to mindspore: ascend910, cpu support, gpu support, inference framework; When working with Huawei's Ascend hardware like Ascend910.
- 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 mindspore?
- Avoid if only NVIDIA GPUs without CUDA 10.1 support are available Not ideal for users requiring non-LINUX (excluding Windows) environments beyond specified Ubuntu/CentOS/x86 versions If development primarily targets hardware not covered by MindSpore's Ascend, CUDA, or CPU setups
- Is ColossalAI or mindspore more popular on GitHub?
- ColossalAI has more GitHub stars (41,408 vs 4,694). Stars measure visibility, not whether either tool fits your constraints.
- Are ColossalAI and mindspore open source?
- Yes - both are open-source projects on GitHub (ColossalAI: Apache-2.0, mindspore: Apache-2.0).
- Where can I find alternatives to ColossalAI or mindspore?
- GraphCanon lists graph-backed alternatives at ColossalAI alternatives and mindspore alternatives (ColossalAI markdown twin, mindspore 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 mindspore?
- ColossalAI: Steady. mindspore: 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 mindspore?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: ColossalAI trust report; mindspore trust report.