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Sparrow

Sparrow

Structured data extraction, instruction calling and agentic workflows with ML and Vision LLM.

0 members list Sparrow, unchanged over the last 12 weeks, data as of 11 November 2026

Usage on Stackness
0membersunchanged over the last 12 weeks

Members who list Sparrow in their Stack, by week.

Members who list Sparrow

010Aug 26Nov 11
Source: Stackness stacks, week of Nov 11, 2026

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History
Collected from public datasets outside Stackness, not from stacks on this site. Each series is scaled to its own peak because the units do not compare. Data sources
Installs, monthly

Homebrew analytics installs: 57 installs (2026) to 67 installs (2026)

2026

Imported from Homebrew analytics, last reading Oct 2026

About Sparrow

Sparrow is a Python tool for extracting structured data from documents using vision and language models. Developers use it to process documents like invoices, receipts, statements and tables by uploading a file, defining a JSON schema describing the fields to extract, and receiving back structured data matching that schema. The tool supports multi-page PDFs and images, offers options like table-only extraction and schema validation, and can work with different vision model variants. It includes an agent feature that chains extraction with text-based reasoning for classification and field validation.

Sparrow is developed by katanaml and distributed under the GPL 3.0 license. The tool operates without cloud dependencies and does not store uploaded documents after processing, removing them immediately after inference completes.

Developer
katanaml
GitHub
License
GPL 3.0
GitHub
Language
Python
GitHub
Latest release
0.6.0, 5 June 2026
GitHub
GitHub stars
5.2k
GitHub
Repository since
January 2022
GitHub

Checked 9 November 2026.

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