Topics / #structured-data

Structured-data projects on GitHub

Extracting structured data from unstructured text and documents.

As of , the most-starred Structured-data projects on GitHub are langextract (39K stars), instructor (14K stars) and autogluon (10.8K stars). GitHub.Locker tracks 5 Structured-data repositories with 65.1K stars combined. The fastest-growing on October 16 was instructor, with +6 stars in a day.

5Projects
65.1KStars in total
+15Stars in a day

Hot right now

Most stars gained in a day · Oct 16

The all-time top

5 projects · by stars

  1. #1 · google/langextract

    langextract

    LangExtract is a Python library that uses LLMs to pull structured information out of unstructured text, mapping each extraction back to its exact location in the source document.

    39K
  2. #2 · 567-labs/instructor

    instructor

    Instructor is a Python library that gets reliable structured JSON output from LLMs by defining Pydantic models instead of hand-writing JSON schemas and parsing logic.

    14K
  3. #3 · autogluon/autogluon

    autogluon

    AutoGluon is an open-source Python library that automates machine learning: feed it your data and it delivers strong predictive performance in about three lines of code.

    10.8K
  1. 4

    TypeLLM

    956TypeLLM/TypeLLM · Python

    TypeLLM adds type-safe, schema-guaranteed output generation to existing open autoregressive LLMs, without changing their weights or architecture, letting models still think freely while returning typed JSON Schema-constrained answers.

  2. 5

    geo-score

    324jianruntech/geo-score · Python

    A free command-line scorecard for AI visibility: it reads your site the way answer-engine crawlers do and prints a 0-100 readiness score against a published, versioned rubric — not a black box.

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