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SFinance
Python toolkit for quantitative finance: stock analysis, technical indicators, strategy backtesting, portfolio optimization, and financial modeling.
DDeepSpeed
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
Popularity
Repository stars4,36143,283Highest
7-day net stars——
Fork3845,060Highest
30-day trendInsufficient historyInsufficient history
Maintenance
Last push2026-09-122026-11-02
Maintenance notesNot verifiedNot verified
Repository created2020-02-092020-01-23
License & use
LicenseMIT · PermissiveApache-2.0 · Permissive
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 detailsCheck current official software, hosting, model and infrastructure pricing.Check current official software, hosting, model and infrastructure pricing.
Pricing source——
First collected2026-11-032026-11-03
MetricRepository stars, not unique users or individual-skill installsRepository stars, not unique users or individual-skill installs
LanguagePythonPython
About this projectPython toolkit for quantitative finance: stock analysis, technical indicators, strategy backtesting, portfolio optimization, and financial modeling.DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
Measured at2026-11-03 09:37 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.