# chezou/tabula-py

Simple wrapper of tabula-java: extract table from PDF into pandas DataFrame

Repository: https://github.com/chezou/tabula-py
Canonical: https://ross.abutalabs.com/products/tabula-py
Language: Python
License: MIT
License Family: permissive
Topics: python, pandas, pdf, tabula-java, tabula
Last push: 2024-12-05T16:14:56+00:00

## Health v2 (maintenance only)
Score: 23/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 8, longevity 100
- inputs: {"age_days": 3644, "days_push": 636, "days_rel": 685, "gap_med": null, "n_releases_24m": 1}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 2315, forks 303 (observed 2026-08-28T04:06:36.790630+00:00)

## What it is
tabula-py is a Python wrapper around tabula-java that extracts tables from PDF files into pandas DataFrames. It can also convert PDFs directly into CSV, TSV, or JSON files, including batch conversion of whole directories.

## Use cases
- extract tables from pdf into pandas dataframe
- convert pdf tables to csv
- scrape tabular data from pdf reports
- batch convert many pdfs to csv or
- read remote pdf files and parse their tables
- pull financial or research tables out of pdf documents

## When to choose
- you need structured table data from text-based PDFs in a Python/pandas workflow
- you want simple PDF-to-CSV/TSV/JSON conversion with minimal code
- you're okay with a Java runtime dependency in exchange for tabula-java's mature extraction engine

## When to avoid
- you need to extract tables from scanned PDFs requiring OCR
- you cannot install or rely on a Java runtime
- you need pure-Python PDF parsing or deep control over PDF internals

## Facets
- artifact type: library
- maturity: stable
- function: pdf, parser, data-science, ocr
- domain: pdf, data-science, files, developer-tools
- platform: python, windows, cross-platform
- tags: pdf-table-extraction, pandas, tabula-java, csv-conversion, wrapper, macos, linux

## Member repositories
- chezou/tabula-py (main) score 23

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:06:36.790630+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 2026-08-30T02:39:25.158947+00:00, confidence not recorded.
  - readme: https://github.com/chezou/tabula-py (fetched 2026-08-28T04:06:36.790630+00:00, sha 8013d0be4e09)
  - registry_pypi: https://pypi.org/pypi/tabula-py/json (fetched 2026-08-29T10:19:18.665773+00:00, sha 1ad12dd858c5)
- Data as of 2026-08-30T08:39:29.467469+00:00.