chezou/tabula-py
Simple wrapper of tabula-java: extract table from PDF into pandas DataFrame observed · 2026-08-28
Health v2 · maintenance only
23/100
- Activity 0
- Release rhythm 8
- Longevity 100
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 3644
- days_rel: 685
- days_push: 636
- n_releases_24m: 1
Adoption not part of the score
2315 stars · 303 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
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
library · maturity stable
pdf parser data-science ocr pdf data-science files developer-tools python windows cross-platform pdf-table-extraction pandas tabula-java csv-conversion wrapper macos linux
2 sources
- readme: https://github.com/chezou/tabula-py · fetched 2026-08-28 · 8013d0be4e09
- registry_pypi: https://pypi.org/pypi/tabula-py/json · fetched 2026-08-29 · 1ad12dd858c5
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| chezou/tabula-py | main | 23 |
For agents
markdown · JSON · MCP: product_card(name="chezou/tabula-py")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem