View pyarrow on Snyk Open Source Advisor

Package Health Score

94 / 100

security
No known security issues
popularity
Key ecosystem project
maintenance
Sustainable
community
Active

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Popularity

Key ecosystem project

GitHub Stars: 14.76K
Forks: 3.58K
Contributors: 380

Direct Usage Popularity

Based on project statistics from the GitHub repository for the PyPI package pyarrow, we found that it has been starred 14,757 times.

Security

No known security issues

Security and license risk for latest version

Release Date: Nov 26, 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

Apache-2.0

Security Policy

We found a way for you to contribute to the project! Looks like pyarrow 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.

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Maintenance

Sustainable

Commit Frequency

Open Issues: 4.09K
Open PR: 319
Last Release: 26 days ago
Last Commit: 1 day ago

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

We found that pyarrow 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

Active

Readme: Yes
Contributing.md: Yes
Code of Conduct: Yes
Contributors: 380
Funding: No

A good and healthy external contribution signal for pyarrow project, which invites more than one hundred open source maintainers to collaborate on the repository.

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Package

Python Versions Compatibility: >=3.9

Age: 8 years
Latest Release: 26 days ago
Dependencies: 0 Direct
Versions: 54
Maintainers: 10
Wheels: Linux, macOS, Windows

Not sure how to use pyarrow?

To help you get started, we've collected the most common ways that pyarrow is being used within popular public projects.

snowflakedb / snowflake-connector-python / test / pandas / test_unit_arrow_chunk_iterator.py View on Github

return datetime.time(hour, minute, second, milisec)

    def expected_data_transform_int32(data):
        milisec = data % (10**4)
        milisec *= 10**2
        data //= 10**4
        second = data % 60
        data //= 60
        minute = data % 60
        hour = data // 60
        return datetime.time(hour, minute, second, milisec)

    iterate_over_test_chunk([pyarrow.int64(), pyarrow.int64()],
                            column_meta_int64, time_generator_int64, expected_data_transform_int64)

    iterate_over_test_chunk([pyarrow.int32(), pyarrow.int32()],
                            column_meta_int32, time_generator_int32, expected_data_transform_int32)

View more ways to use pyarrow

Python library for Apache Arrow

This library provides a Python API for functionality provided by the Arrow C++ libraries, along with tools for Arrow integration and interoperability with pandas, NumPy, and other software in the Python ecosystem.

Installing

Across platforms, you can install a recent version of pyarrow with the conda package manager:

conda install pyarrow -c conda-forge

On Linux, macOS, and Windows, you can also install binary wheels from PyPI with pip:

pip install pyarrow

If you encounter any issues importing the pip wheels on Windows, you may need to install the Visual C++ Redistributable for Visual Studio 2015.

Development

See Python Development in the documentation subproject.

Building the documentation

See documentation build instructions in the documentation subproject.

FAQs

What is pyarrow?

Python library for Apache Arrow. Visit Snyk Advisor to see a full health score report for pyarrow, including popularity, security, maintenance & community analysis.

Is pyarrow popular?

The python package pyarrow receives a total of 42,270,204 weekly downloads. As such, pyarrow popularity was classified as a key ecosystem project. Visit the popularity section on Snyk Advisor to see the full health analysis.

Is pyarrow well maintained?

We found indications that pyarrow maintenance is sustainable demonstrating some project activity. We saw a total of 380 open source contributors collaborating on the project. See the full package health analysis to learn more about the package maintenance status.

Is pyarrow safe to use?

The python package pyarrow 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 18:44 (UTC).

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pyarrow

Python library for Apache Arrow For more information about how to use this package see README

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Package Health Score

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Popularity

Direct Usage Popularity

Security

Security and license risk for latest version

Maintenance

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Community

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Package

Not sure how to use pyarrow?

Python library for Apache Arrow

Installing

Development

Building the documentation

FAQs

What is pyarrow?

Is pyarrow popular?

Is pyarrow well maintained?

Is pyarrow 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

Embed Package Health Score Badge

Keep your project healthy

Check your requirements.txt

Snyk Vulnerability Scanner

Not sure how to use pyarrow?

Python library for Apache Arrow

Installing

Development

Building the documentation

FAQs

What is pyarrow?

Is pyarrow popular?

Is pyarrow well maintained?

Is pyarrow 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