Package Health Score

82 / 100

security
No known security issues
popularity
Popular
maintenance
Healthy
community
Sustainable

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Popularity

Popular

GitHub Stars: 2.21K
Forks: 301
Contributors: 20

Direct Usage Popularity

Based on project statistics from the GitHub repository for the PyPI package tabula-py, we found that it has been starred 2,209 times.

Security

No known security issues

Security and license risk for latest version

Release Date: Oct 17, 2024
Direct Vulnerabilities: 0
C
0
H
0
M
0
L
Indirect Vulnerabilities: 0
C
0
H
0
M
0
L
License Risk: 0
H
0
M
0
L

All security vulnerabilities belong to production dependencies of direct and indirect packages.

License

MIT

Security Policy

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Maintenance

Healthy

Commit Frequency

Open Issues: 0
Open PR: 0
Last Release: 2 months ago
Last Commit: 17 days ago

Further analysis of the maintenance status of tabula-py based on released PyPI versions cadence, the repository activity, and other data points determined that its maintenance is Healthy.

We found that tabula-py demonstrates a positive version release cadence with at least one new version released in the past 3 months.

As a healthy sign for on-going project maintenance, we found that the GitHub repository had at least 1 pull request or issue interacted with by the community.

Community

Sustainable

Readme: Yes
Contributing.md: Yes
Code of Conduct: No
Contributors: 20
Funding: Yes

With more than 10 contributors for the tabula-py repository, this is possibly a sign for a growing and inviting community.

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Package

Python Versions Compatibility: >=3.9

Age: 8 years
Latest Release: 2 months ago
Dependencies: 1 Direct
Versions: 56
Maintainers: 1
Wheels: OS Independent

Readme

tabula-py

PyPI - Downloads

tabula-py is a simple Python wrapper of tabula-java, which can read tables in a PDF. You can read tables from a PDF and convert them into a pandas DataFrame. tabula-py also enables you to convert a PDF file into a CSV, a TSV or a JSON file.

You can see the example notebook and try it on Google Colab, or we highly recommend reading our documentation, especially the FAQ section.

tabula-py example

Requirements

Java 8+
Python 3.8+

OS

I confirmed working on macOS and Ubuntu. But some people confirm it works on Windows 10. See also the documentation for the detailed installation for Windows 10.

Usage

Documentation
- FAQ would be helpful if you have an issue
Example notebook on Google Colaboratory

Install

Ensure you have a Java runtime and set the PATH for it.

pip install tabula-py

If you want to leverage faster execution with jpype, install with jpype extra.

pip install tabula-py[jpype]

Example

tabula-py enables you to extract tables from a PDF into a DataFrame, or a JSON. It can also extract tables from a PDF and save the file as a CSV, a TSV, or a JSON.

import tabula

# Read pdf into list of DataFrame
dfs = tabula.read_pdf("test.pdf", pages='all')

# Read remote pdf into list of DataFrame
dfs2 = tabula.read_pdf("https://github.com/tabulapdf/tabula-java/raw/master/src/test/resources/technology/tabula/arabic.pdf")

# convert PDF into CSV file
tabula.convert_into("test.pdf", "output.csv", output_format="csv", pages='all')

# convert all PDFs in a directory
tabula.convert_into_by_batch("input_directory", output_format='csv', pages='all')

See an example notebook for more details. I also recommend reading the tutorial article written by @aegis4048, and another tutorial written by @tdpetrou.

Contributing

Interested in helping out? I'd love to have your help!

You can help by:

Reporting a bug.
Adding or editing documentation.
Contributing code via a Pull Request. See also for the contribution
Write a blog post or spread the word about tabula-py to people who might be able to benefit from using it.

Contributors

Another support

You can also support our continued work on tabula-py with a donation on GitHub Sponsors or Patreon.

tabula-py dependencies

distro

FAQs

What is tabula-py?

Simple wrapper for tabula-java, read tables from PDF into DataFrame. Visit Snyk Advisor to see a full health score report for tabula-py, including popularity, security, maintenance & community analysis.

Is tabula-py popular?

The python package tabula-py receives a total of 91,838 weekly downloads. As such, tabula-py popularity was classified as a popular. Visit the popularity section on Snyk Advisor to see the full health analysis.

Is tabula-py well maintained?

We found that tabula-py demonstrated a healthy version release cadence and project activity. It has a community of 20 open source contributors collaborating on the project. See the full package health analysis to learn more about the package maintenance status.

Is tabula-py safe to use?

The python package tabula-py was scanned for known vulnerabilities and missing license, and no issues were found. Thus the package was deemed as safe to use. See the full health analysis review.

Last updated on 21 December-2024, at 02:11 (UTC).

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tabula-py

Simple wrapper for tabula-java, read tables from PDF into DataFrame For more information about how to use this package see README

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Package Health Score

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Package

Readme

tabula-py

Requirements

OS

Usage

Install

Example

Contributing

Contributors

Another support

tabula-py dependencies

FAQs

What is tabula-py?

Is tabula-py popular?

Is tabula-py well maintained?

Is tabula-py safe to use?

Build a secure application checklist

Select a recommended open source package

Scan your app for vulnerabilities

Fix identified vulnerabilities

Monitor for new issues

Package Health Score

Explore Similar Packages

Direct Usage Popularity

Security and license risk for latest version

Commit Frequency

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Snyk Vulnerability Scanner

Readme

tabula-py

Requirements

OS

Usage

Install

Example

Contributing

Contributors

Another support

tabula-py dependencies

FAQs

What is tabula-py?

Is tabula-py popular?

Is tabula-py well maintained?

Is tabula-py safe to use?

Build a secure application checklist

Select a recommended open source package

Scan your app for vulnerabilities

Source Code

Open Source

Container

Config

Fix identified vulnerabilities

Monitor for new issues