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

58 / 100

security
Security review needed
popularity
Influential project
maintenance
Inactive
community
Sustainable

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Popularity

Influential project

GitHub Stars: 3.67K
Forks: 212
Contributors: 30

Direct Usage Popularity

Based on project statistics from the GitHub repository for the PyPI package pandarallel, we found that it has been starred 3,674 times.

Security

Security review needed

Security and license risk for latest version

Release Date: May 2, 2023
Direct Vulnerabilities: 0
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0
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0
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0
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Indirect Vulnerabilities: 0
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0
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0
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License Risk: 0
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All security vulnerabilities belong to production dependencies of direct and indirect packages.

License

BSD-3-Clause

Security Policy

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Maintenance

Inactive

Commit Frequency

Open Issues: 87
Open PR: 11
Last Release: 2 years ago
Last Commit: 9 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.

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: No
Code of Conduct: No
Contributors: 30
Funding: No

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

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

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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 24 October-2024, at 05:20 (UTC).

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