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Yextractous
Fast and efficient unstructured data extraction. Written in Rust with bindings for many languages.
EExtractThinker
ExtractThinker is a Document Intelligence library for LLMs, offering ORM-style interaction for flexible and powerful document workflows.
Popularity
Repository stars1,786Highest1,603
7-day net stars——
Fork98156Highest
30-day trendInsufficient historyInsufficient history
Maintenance
Last push2024-12-212026-09-16
Maintenance notesNot verifiedNot verified
Repository created2024-06-042024-02-01
License & use
LicenseApache-2.0 · PermissiveApache-2.0 · Permissive
PricingPricing not verifiedPricing not verified
Basics
Browse by purposeData analysis · Retrieval-augmented generationData analysis · Document processing
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
LanguageRustPython
About this projectFast and efficient unstructured data extraction. Written in Rust with bindings for many languages.ExtractThinker is a Document Intelligence library for LLMs, offering ORM-style interaction for flexible and powerful document workflows.
Measured at2026-11-02 19:03 UTC2026-11-02 19:00 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.