# google/langextract

> A Python library for extracting structured information from unstructured text using LLMs, with precise source grounding and interactive visualization.

- Magnitude: 3.8 out of 10 — Breakout
- Stars: 38,841 total · +67 stars today, ≈ 110 by evening
- Star trust: star growth looks organic
- Category: Language models · Language: Python · License: Apache-2.0 · Created: 2025-07-08 · Last push: 2026-09-21
- GitHub: https://github.com/google/langextract · Homepage: https://pypi.org/project/langextract/ · Page: https://gitnova.dev/en/r/google/langextract

## Useful for

- Extract characters, emotions, and relationships from literary text using few-shot examples
- Structure clinical notes or medical reports into a defined schema
- Review extraction results in an interactive HTML with source-text highlighting

## Why it’s here

- 67 stars so far today, about 110 expected by the end of the day. The usual pace is 9 per day, so that's 12× as much.
- Over the last two days the pace is 13× that of the previous week and a half.
- The spike has held for 2 days in a row — not a one-off blip.
- GitHub Trending Python today: #11, +154 stars.

## Star trust

Star growth looks organic.

Star-trust labels are heuristics based on the repository’s behavior, not a check of every stargazer.

## Numbers

- Forks: 2,716
- Issues and pull requests: 494
- Watchers: 171
- Average over the last week: 39 per day
- Usual pace: 9 per day
- Stars in the last hour (measured): 3
- Latest release: v1.7.0 (2026-09-13)

## Stars per day, last 30 days (oldest → newest, today is partial)

2026-08-27 … 2026-09-25: 8, 5, 9, 5, 9, 6, 7, 7, 12, 2, 5, 7, 9, 7, 10, 4, 7, 8, 4, 5, 18, 11, 7, 3, 11, 13, 11, 13, 115, 67

## Spotted in now

- GitHub Trending Python today: #11, +154 stars

## Similar by description

1. **JunMa11/MedJev** — 1.5 · Cooling · Language models · Python · +3 stars today, ≈ 5 by evening
   A tool for extracting structured clinical variables from free-text medical notes: it turns notes into table-ready data, running locally on a single consumer GPU without sending data outside.
   Full card: https://gitnova.dev/en/r/JunMa11/MedJev.md
2. **fastino-ai/GLiNER2** — 1.9 · Steady · Language models · Python · +6 stars today, ≈ 13 by evening
   A family of schema-conditioned encoder models for information extraction: NER, text classification, structured record extraction, relations, and span attributes. Runs locally on CPU without a GPU.
   Full card: https://gitnova.dev/en/r/fastino-ai/GLiNER2.md

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Magnitude (0–10) measures how fast and how unusually interest in a repository is growing right now. It is not a quality score.
Days are UTC. “So far today” is a fact; “expected by the end of the day” is a forecast.
Summaries and use cases are written by an LLM (DeepSeek V4.1 Flash) from the README and may be inaccurate: verify specific claims (benchmarks, speed, hardware) in the repository itself.
Data as of 2026-09-25 14:45 UTC, updated every 30 minutes.