Home/Compare/ColossalAI vs viewflow

Comparison

ColossalAI vs viewflow

Verdict

Pick ColossalAI when license: ColossalAI is Apache-2.0, viewflow is AGPL-3.0; pick viewflow when license: viewflow is AGPL-3.0, ColossalAI is Apache-2.0.

Markdown twin · ColossalAI alternatives · viewflow alternatives

GraphCanon updated today

ColossalAI logo

ColossalAI

hpcaitech/ColossalAI

41kpushed Jul 13, 2026
vs
viewflow logo

viewflow

viewflow/viewflow

2.9kpushed Jul 6, 2026

Trust & integrity

SignalColossalAIviewflow
Maintenance
Very active (0d since push)
As of 1d · github_public_v1
Active (9d 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
OSV dependency advisories
No lockfile (source not queried)
As of 4d · osv@v1
No lockfile (source not queried)
As of today · 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
viewflow
Reusable workflow library for Django

Stars

ColossalAI
41k
viewflow
2.9k

Forks

ColossalAI
4.5k
viewflow
412

Open issues

ColossalAI
499
viewflow
9

Language

ColossalAI
Python
viewflow
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.
viewflow
-

Persona

ColossalAI
-
viewflow
-

Runtime

ColossalAI
-
viewflow
-

License

ColossalAI
Apache-2.0
viewflow
AGPL-3.0

Last pushed

ColossalAI
Jul 13, 2026
viewflow
Jul 6, 2026

Categories

ColossalAI
Inference & Serving, Model Training
viewflow
Inference & Serving

Trust and health

Maintenance

ColossalAI
Very active (96%)
viewflow
Active (82%)

Days since push

ColossalAI
0d
viewflow
9d

Open issues (now)

ColossalAI
499
viewflow
9

Full report

ColossalAI
Trust report
viewflow
Trust report

Shared compatibility

  • Python · ColossalAI: Python runtime · viewflow: Python runtime

Choose ColossalAI if…

  • License: ColossalAI is Apache-2.0, viewflow is AGPL-3.0.
  • 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 viewflow if…

  • License: viewflow is AGPL-3.0, ColossalAI is Apache-2.0.
  • Tags unique to viewflow: bpmn, django, process-engine, python.
  • Leaner open-issue backlog (9).

When NOT to use viewflow

  • 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 on cards: ColossalAI 41k · viewflow 2.9k (synced Jul 14, 2026).

Common questions

What is the difference between ColossalAI and viewflow?
ColossalAI: Making large AI models cheaper, faster and more accessible. viewflow: Reusable workflow library for Django. See the comparison table for live GitHub stats and shared categories.
When should I choose ColossalAI over viewflow?
Choose ColossalAI over viewflow when License: ColossalAI is Apache-2.0, viewflow is AGPL-3.0; 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 viewflow over ColossalAI?
Choose viewflow over ColossalAI when License: viewflow is AGPL-3.0, ColossalAI is Apache-2.0; Tags unique to viewflow: bpmn, django, process-engine, python; Leaner open-issue backlog (9).
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 viewflow?
Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic.
Is ColossalAI or viewflow more popular on GitHub?
ColossalAI has more GitHub stars (41,413 vs 2,865). Stars measure visibility, not whether either tool fits your constraints.
Are ColossalAI and viewflow open source?
Yes - both are open-source projects on GitHub (ColossalAI: Apache-2.0, viewflow: AGPL-3.0).
Where can I find alternatives to ColossalAI or viewflow?
GraphCanon lists graph-backed alternatives at ColossalAI alternatives and viewflow alternatives (ColossalAI markdown twin, viewflow 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 viewflow?
ColossalAI: Very active. viewflow: Active. 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 viewflow?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: ColossalAI trust report; viewflow trust report.

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