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Comparison

conda vs ColossalAI

Verdict

Pick conda when license: conda is Other, ColossalAI is Apache-2.0; pick ColossalAI when license: ColossalAI is Apache-2.0, conda is Other.

Markdown twin · conda alternatives · ColossalAI alternatives

GraphCanon updated today

conda logo

conda

conda/conda

★ 7.5kpushed Jul 11, 2026
vs
ColossalAI logo

ColossalAI

hpcaitech/ColossalAI

★ 41kpushed May 25, 2026

Trust & integrity

SignalcondaColossalAI
Maintenance
Very active (0d since push)
As of today · github_public_v1
Steady (46d since push)
As of 1d · github_public_v1
Provenance
Not a fork · Organization account
As of today · github_public_v1
Not a fork · Organization account
As of 1d · github_public_v1
Security (OSV)
No lockfile
As of today · none
No lockfile
As of 1d · none
conda trust reportColossalAI trust reportTrust methodology

Tagline

conda
A system-level, binary package and environment manager running on all major operating systems and platforms.
ColossalAI
Making large AI models cheaper, faster and more accessible

Stars

conda
7.5k
ColossalAI
41k

Forks

conda
2.2k
ColossalAI
4.5k

Open issues

conda
672
ColossalAI
501

Language

conda
Python
ColossalAI
Python

Adopt for

conda
-
ColossalAI
ColossalAI is a Python library that leverages advanced parallelism techniques for more efficient and cost-effective development of large-scale AI models.

Persona

conda
-
ColossalAI
-

Runtime

conda
-
ColossalAI
-

License

conda
Other
ColossalAI
Apache-2.0

Last pushed

conda
Jul 11, 2026
ColossalAI
May 25, 2026

Categories

conda
Model Training
ColossalAI
Inference & Serving, Model Training

Trust and health

Maintenance

conda
Very active (96%)
ColossalAI
Steady (60%)

Days since push

conda
0d
ColossalAI
46d

Open issues (now)

conda
672
ColossalAI
501

Full report

conda
Trust report
ColossalAI
Trust report

Choose conda if…

  • License: conda is Other, ColossalAI is Apache-2.0.
  • Tags unique to conda: conda, package-management, python.
  • More recently updated (last pushed Jul 11, 2026).

When NOT to use conda

  • Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge.
GitHubDetails

Choose ColossalAI if…

  • License: ColossalAI is Apache-2.0, conda is Other.
  • 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.
GitHubDetails

Explore

conda trust report →ColossalAI trust report →Model Training category →Inference & Serving category →All comparisonsStack workflowsTrending tools

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: conda 7.5k · ColossalAI 41k (synced Jul 11, 2026).

Common questions

What is the difference between conda and ColossalAI?
conda: A system-level, binary package and environment manager running on all major operating systems and platforms.. ColossalAI: Making large AI models cheaper, faster and more accessible. See the comparison table for live GitHub stats and shared categories.
When should I choose conda over ColossalAI?
Choose conda over ColossalAI when License: conda is Other, ColossalAI is Apache-2.0; Tags unique to conda: conda, package-management, python; More recently updated (last pushed Jul 11, 2026).
When should I choose ColossalAI over conda?
Choose ColossalAI over conda when License: ColossalAI is Apache-2.0, conda is Other; 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 avoid conda?
Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge.
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.
Is conda or ColossalAI more popular on GitHub?
ColossalAI has more GitHub stars (41,408 vs 7,465). Stars measure visibility, not whether either tool fits your constraints.
Are conda and ColossalAI open source?
Yes - both are open-source projects on GitHub (conda: Other, ColossalAI: Apache-2.0).
Where can I find alternatives to conda or ColossalAI?
GraphCanon lists graph-backed alternatives at conda alternatives and ColossalAI alternatives (conda markdown twin, ColossalAI 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, conda or ColossalAI?
conda: Very active. ColossalAI: Steady. 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 conda and ColossalAI?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: conda trust report; ColossalAI trust report.