colossalai

colossalai

Latest Version: v0.5.0

ColossalAI is an open-source Python framework that accelerates and reduces the cost of training large AI models via advanced distributed computing and data par...

Owner: hpcaitech

OSSauto-discoveredgithub-searchai

Stars

41.4k

GitHub star count

Last Release

10 months ago

v0.5.0

Contributors

100

N/A

Health Score

N/A

N/A

Key Features

  • ai

  • big model

  • data parallelism

  • deep learning

  • distributed computing

Tech Stack

Python
auto-discovered
github-search
ai
big-model
data-parallelism
deep-learning
distributed-computing
foundation-models
heterogeneous-training
hpc
inference
large-scale

About

ColossalAI is an open-source Python framework that accelerates and reduces the cost of training large AI models via advanced distributed computing and data par...

hpcaitech/ColossalAI is auto-discovered from GitHub Search activity signals. Python repository. Current repository metrics include 41363 stars, 4527 forks, and 492 open issues. Topics: ai, big-model, data-parallelism, deep-learning, distributed-computing. Matched search heuristics: topic:ai stars:>=105 pushed:>=2026-02-15 archived:false fork:false mirror:false. Metadata is enriched asynchronously by the refresh pipeline.

Analyst Note

ColossalAI is an open-source Python framework that accelerates and reduces the cost of training large AI models via advanced distributed computing and data parallelism.

Best For

  • Technical stack evaluation for engineering teams
  • Dependency governance and upgrade planning in production systems
  • Track delivery cadence and release quality from hpcaitech
  • ai

Not Ideal For

  • Release cadence may shift with maintainer priorities; plan controlled upgrade windows

Typical Use Cases

Technical stack evaluation for engineering teamsDependency governance and upgrade planning in production systemsTrack delivery cadence and release quality from hpcaitech

Decision Snapshot

  • Product type: Open Source
  • Primary language: Python
  • Pricing model: Free
  • License: Apache-2.0
  • Last Release: 6/4/2025
Data Basis
  • Last Sync: Mar 1, 2026, 03:02 PM
  • Metrics Updated: Mar 1, 2026, 03:02 PM
  • Completeness: 100%
  • Last Verified: Mar 1, 2026, 03:02 PM

Data Status

Stale
Last SyncMar 1, 2026, 03:02 PM
Metrics UpdatedMar 1, 2026, 03:02 PM
Completeness100%
Last VerifiedMar 1, 2026, 03:02 PM

Pros & Cons

Pros

  • Strong community adoption.
  • Broad maintainer participation.
  • Active maintenance cadence.

Cons

  • -Release cadence may shift with maintainer priorities; plan controlled upgrade windows

All Metrics

Adoption

4/4
Stars41.4k
Forks4.5k
Open Issues492
Contributors100

Health

0/4
Health ScorePending
Trend ScorePending
Activity ScorePending
Reliability ScorePending

Core

3/5
Latest Versionv0.5.0
Last Release6/4/2025
Last Commit2/23/2026
StatusPending
Activity LevelPending

Security

0/1
Security ScorePending