# atlanhq/camelot

Camelot: PDF Table Extraction for Humans

Repository: https://github.com/atlanhq/camelot
Canonical: https://ross.abutalabs.com/products/atlanhq-camelot
Homepage: https://camelot-py.readthedocs.io
Language: Python
License: NOASSERTION
License Family: other
Topics: pdf, table, extract, for-humans
Archived: true
Last push: 2023-01-05T15:25:42+00:00

## Health v2 (maintenance only)
Score: 10/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 8, longevity 100
- inputs: {"age_days": 3728, "days_push": 1336, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: archived, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 3716, forks 361 (observed 2026-08-28T04:08:15.379218+00:00)

## What it is
Camelot is a Python library for extracting tables from PDF files into pandas DataFrames or CSV, JSON, Excel, HTML, and SQLite formats. It also ships with a command-line interface and configurable table-detection strategies.

## Use cases
- extract tables from pdf files
- convert pdf tables to csv or excel
- parse tabular data from pdfs into pandas dataframes
- scrape financial report tables from pdf documents
- batch extract tables from pdfs via command line

## When to choose
- you need structured table data out of text-based PDFs
- you want results as pandas DataFrames or standard export formats
- you need tunable extraction with accuracy metrics per table

## When to avoid
- your PDFs are scanned images requiring OCR
- you need general-purpose PDF text extraction rather than tables
- you need a library with frequent updates and active maintenance

## Facets
- artifact type: library
- maturity: maintenance
- function: pdf, parser, data-science, ocr
- domain: pdf, data-science, files, developer-tools
- platform: python, cli, cross-platform
- tags: table-extraction, pdf-parsing, pandas, csv-export

## Member repositories
- atlanhq/camelot (main) score 10

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:08:15.379218+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T18:29:22.644558+00:00, confidence not recorded.
  - readme: https://github.com/atlanhq/camelot (fetched 2026-08-28T04:08:15.379218+00:00, sha f98ed9cf0e35)
- Data as of 2026-08-30T08:39:29.467469+00:00.