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Plit
The Learning Interpretability Tool: Interactively analyze ML models to understand their behavior in an extensible and framework agnostic interface.
Popularity
Repository stars3,67146,180Highest
7-day net stars——
Fork3656,162Highest
30-day trendInsufficient historyInsufficient history
Maintenance
Last push2026-10-072024-08-16
Maintenance notesNot verifiedNot verified
Repository created2020-07-282020-05-20
License & use
LicenseApache-2.0 · PermissiveMPL-2.0 · Share derivative 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 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
LanguageTypeScriptPython
About this projectThe Learning Interpretability Tool: Interactively analyze ML models to understand their behavior in an extensible and framework agnostic interface.🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production
Measured at2026-11-03 09:41 UTC2026-11-03 08:23 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.