pandarallel

v1.6.5

An easy to use library to speed up computation (by parallelizing on multi CPUs) with pandas. For more information about how to use this package see README

Latest version published 2 years ago

License: BSD-3-Clause

PyPI

GitHub

Package Health Score

52 / 100

security
Security review needed
popularity
Influential project
maintenance
Inactive
community
Limited

Explore Similar Packages

dask
85

Popularity

Influential project

GitHub Stars: 3.69K
Forks: 212
Contributors: -

Direct Usage Popularity

Based on project statistics from the GitHub repository for the PyPI package pandarallel, we found that it has been starred 3,689 times.

Security

Security review needed

Security and license risk for latest version

Release Date: May 2, 2023
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

BSD-3-Clause

Security Policy

We found a way for you to contribute to the project! Looks like pandarallel is missing a security policy.

You can connect your project's repository to Snyk to stay up to date on security alerts and receive automatic fix pull requests.

Keep your project free of vulnerabilities with Snyk

Maintenance

Inactive

Commit Frequency

Open Issues: 87
Open PR: 11
Last Release: 2 years ago
Last Commit: 10 months ago

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

An important project maintenance signal to consider for pandarallel is that it hasn't seen any new versions released to PyPI in the past 12 months, and could be considered as a discontinued project, or that which receives low attention from its maintainers.

In the past month we didn't find any pull request activity or change in issues status has been detected for the GitHub repository.

Community

Limited

Readme: Yes
Contributing.md: No
Code of Conduct: No
Contributors: 0
Funding: No

This project has seen only 10 or less contributors.

We found a way for you to contribute to the project! Looks like pandarallel is missing a Code of Conduct.

Embed Package Health Score Badge

Keep your project healthy

Check your requirements.txt

Ensure all the packages you're using are healthy and well-maintained

Snyk Vulnerability Scanner

Get health score & security insights directly in your IDE

Package

Python Versions Compatibility: >=3.7

Age: 6 years
Latest Release: 2 years ago
Dependencies: N/A
Versions: 41
Maintainers: 1
Wheels: No

Readme

Pandaral·lel

Without parallelization
With parallelization

Pandaral.lel provides a simple way to parallelize your pandas operations on all your CPUs by changing only one line of code. It also displays progress bars.

Maintainers

Installation

pip install pandarallel [--upgrade] [--user]

Quickstart

from pandarallel import pandarallel

pandarallel.initialize(progress_bar=True)

# df.apply(func)
df.parallel_apply(func)

Usage

Be sure to check out the documentation.

Examples

An example of each available pandas API is available:

For Mac & Linux
For Windows

FAQs

What is pandarallel?

An easy to use library to speed up computation (by parallelizing on multi CPUs) with pandas. Visit Snyk Advisor to see a full health score report for pandarallel, including popularity, security, maintenance & community analysis.

Is pandarallel popular?

The python package pandarallel receives a total of 122,582 weekly downloads. As such, pandarallel popularity was classified as an influential project. Visit the popularity section on Snyk Advisor to see the full health analysis.

Is pandarallel well maintained?

We found indications that pandarallel is an Inactive project. See the full package health analysis to learn more about the package maintenance status.

Is pandarallel safe to use?

While scanning the latest version of pandarallel, we found that a security review is needed. A total of 0 vulnerabilities or license issues were detected. See the full security scan results.

Last updated on 30 November-2024, at 17:37 (UTC).

Build a secure application checklist

Select a recommended open source package

Minimize your risk by selecting secure & well maintained open source packages

DONE

Scan your app for vulnerabilities

Scan your application to find vulnerabilities in your: source code, open source dependencies, containers and configuration files

SCAN NOW

Fix identified vulnerabilities

Easily fix your code by leveraging automatically generated PRs

AUTO FIX

Monitor for new issues

New vulnerabilities are discovered every day. Get notified if your application is affected

MONITOR APP