Compare projects

Select 2–4 projects to compare on the same basis.

Show differences only

Only identical known values are hidden. Unknown information remains visible.

Machine-learning algorithms and modeling tools for Python.

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

Popularity

Repository stars67,972Highest43,283

7-day net stars——

Fork27,626Highest5,060

30-day trendInsufficient historyInsufficient history

Maintenance

Last push2026-11-022026-11-02

Maintenance notesUnknownNot verified

Repository created2010-08-172020-01-23

License & use

LicenseBSD-3-Clause · PermissiveApache-2.0 · Permissive

License sourceLicense sourceLicense source

PricingPricing not verifiedPricing not verified

Basics

Browse by purposeData analysisData analysis

TypeFrameworks & SDKsFrameworks & SDKs

SubcategoryData science & machine learningData science & machine learning

PlatformNot verifiedNot verified

Cost detailsVerify software, hosting, model and infrastructure costs against the current official documentation.Check current official software, hosting, model and infrastructure pricing.

Pricing source——

First collected2026-11-022026-11-03

MetricRepository Stars, not unique usersRepository stars, not unique users or individual-skill installs

LanguagePythonPython

About this projectMachine-learning algorithms and modeling tools for Python.DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

Repositoryscikit-learn / scikit-learndeepspeedai / DeepSpeed

Measured at2026-11-02 19:20 UTC2026-11-02 19:02 UTC

License tiers are derived from metadata. Check obligations for your use; unknown does not mean prohibited. Ranked by repository stars, one position per repository. Stars and forks are not user counts.