Comparison
ColossalAI vs seldon-core
Verdict
Pick ColossalAI when colossalAI is primarily Python; seldon-core is Go; pick seldon-core when seldon-core is primarily Go; ColossalAI is Python.
Markdown twin · ColossalAI alternatives · seldon-core alternatives
GraphCanon updated today
vs
Trust & integrity
| Signal | ColossalAI | seldon-core |
|---|---|---|
| Maintenance | Steady (46d since push) As of today · github_public_v1 | Slowing (110d 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
- ColossalAI
- Making large AI models cheaper, faster and more accessible
- seldon-core
- An MLOps framework to package, deploy, monitor and manage thousands of production machine learning models
Stars
- ColossalAI
- 41k
- seldon-core
- 4.8k
Forks
- ColossalAI
- 4.5k
- seldon-core
- 865
Open issues
- ColossalAI
- 501
- seldon-core
- 394
Language
- ColossalAI
- Python
- seldon-core
- Go
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.
- seldon-core
- -
Persona
- ColossalAI
- -
- seldon-core
- -
Runtime
- ColossalAI
- -
- seldon-core
- -
License
- ColossalAI
- Apache-2.0
- seldon-core
- Other
Last pushed
- ColossalAI
- May 25, 2026
- seldon-core
- Mar 23, 2026
Categories
- ColossalAI
- Inference & Serving, Model Training
- seldon-core
- Inference & Serving
Trust and health
Maintenance
- ColossalAI
- Steady (60%)
- seldon-core
- Slowing (36%)
Days since push
- ColossalAI
- 46d
- seldon-core
- 110d
Open issues (now)
- ColossalAI
- 501
- seldon-core
- 394
Full report
- ColossalAI
- Trust report
- seldon-core
- Trust report
Choose ColossalAI if…
- ColossalAI is primarily Python; seldon-core is Go.
- License: ColossalAI is Apache-2.0, seldon-core is Other.
- Tags unique to ColossalAI: ai, big-model, data-parallelism, deep-learning.
- Also covers Model Training.
- 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 seldon-core if…
- seldon-core is primarily Go; ColossalAI is Python.
- License: seldon-core is Other, ColossalAI is Apache-2.0.
- Tags unique to seldon-core: aiops, deployment, kubernetes, machine-learning.
When NOT to use seldon-core
- Last GitHub push was 110 days ago (slowing maintenance, Mar 23, 2026). Validate activity before betting a new project on seldon-core.
- 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 (SeldonIO/seldon-core) · observed Jul 11, 2026
- GitHub forks (SeldonIO/seldon-core) · observed Jul 11, 2026
- Last push (SeldonIO/seldon-core) · observed Mar 23, 2026
- License file (Other) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: ColossalAI 41k · seldon-core 4.8k (synced Jul 11, 2026).
Common questions
- What is the difference between ColossalAI and seldon-core?
- ColossalAI: Making large AI models cheaper, faster and more accessible. seldon-core: An MLOps framework to package, deploy, monitor and manage thousands of production machine learning models. See the comparison table for live GitHub stats and shared categories.
- When should I choose ColossalAI over seldon-core?
- Choose ColossalAI over seldon-core when ColossalAI is primarily Python; seldon-core is Go; License: ColossalAI is Apache-2.0, seldon-core is Other; Tags unique to ColossalAI: ai, big-model, data-parallelism, deep-learning; Also covers Model Training; You require handling extremely large AI models with massive context windows, such as over 2M tokens.
- When should I choose seldon-core over ColossalAI?
- Choose seldon-core over ColossalAI when seldon-core is primarily Go; ColossalAI is Python; License: seldon-core is Other, ColossalAI is Apache-2.0; Tags unique to seldon-core: aiops, deployment, kubernetes, machine-learning.
- 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 seldon-core?
- Last GitHub push was 110 days ago (slowing maintenance, Mar 23, 2026). Validate activity before betting a new project on seldon-core. Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic.
- Is ColossalAI or seldon-core more popular on GitHub?
- ColossalAI has more GitHub stars (41,408 vs 4,759). Stars measure visibility, not whether either tool fits your constraints.
- Are ColossalAI and seldon-core open source?
- Yes - both are open-source projects on GitHub (ColossalAI: Apache-2.0, seldon-core: Other).
- Where can I find alternatives to ColossalAI or seldon-core?
- GraphCanon lists graph-backed alternatives at ColossalAI alternatives and seldon-core alternatives (ColossalAI markdown twin, seldon-core 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 seldon-core?
- ColossalAI: Steady. seldon-core: 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 seldon-core?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: ColossalAI trust report; seldon-core trust report.