Package Health Score

68 / 100

security
Security review needed
popularity
Popular
maintenance
Inactive
community
Active

Popularity

Popular

GitHub Stars: 8.18K
Forks: 588
Contributors: 70

Direct Usage Popularity

Based on project statistics from the GitHub repository for the PyPI package vaex-core, we found that it has been starred 8,175 times.

Security

Security review needed

Security and license risk for latest version

Release Date: Jul 21, 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
2
M
0
L

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

License

MIT

Security Policy

Yes

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Maintenance

Inactive

Commit Frequency

Open Issues: 432
Open PR: 99
Last Release: 10 months ago
Last Commit: 10 months ago

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

We found that vaex-core demonstrates a positive version release cadence with at least one new version released in the past 12 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: No
Contributors: 70
Funding: No

With more than 10 contributors for the vaex-core 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 vaex-core is missing a Code of Conduct.

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Package

Python Versions Compatibility: ==3.10.*, ==3.6.*, ==3.7.*, ==3.8.*, ==3.9.*

Age: 7 years
Latest Release: 10 months ago
Dependencies: 18 Direct / 38 Total
Versions: 101
Maintainers: 1
Wheels: Linux, macOS, Musllinux, Windows

Readme

What is Vaex?

Vaex is a high performance Python library for lazy Out-of-Core DataFrames (similar to Pandas), to visualize and explore big tabular datasets. It calculates statistics such as mean, sum, count, standard deviation etc, on an N-dimensional grid for more than a billion (10^9) samples/rows per second. Visualization is done using histograms, density plots and 3d volume rendering, allowing interactive exploration of big data. Vaex uses memory mapping, zero memory copy policy and lazy computations for best performance (no memory wasted).

Installing

With pip:

$ pip install vaex

Or conda:

$ conda install -c conda-forge vaex

For more details, see the documentation

Key features

Instant opening of Huge data files (memory mapping)

HDF5 and Apache Arrow supported.

opening1a

opening1b

Read the documentation on how to efficiently convert your data from CSV files, Pandas DataFrames, or other sources.

Lazy streaming from S3 supported in combination with memory mapping.

opening1c

Expression system

Don't waste memory or time with feature engineering, we (lazily) transform your data when needed.

expression

Out-of-core DataFrame

Filtering and evaluating expressions will not waste memory by making copies; the data is kept untouched on disk, and will be streamed only when needed. Delay the time before you need a cluster.

occ-animated

Fast groupby / aggregations

Vaex implements parallelized, highly performant groupby operations, especially when using categories (>1 billion/second).

groupby

Fast and efficient join

Vaex doesn't copy/materialize the 'right' table when joining, saving gigabytes of memory. With subsecond joining on a billion rows, it's pretty fast!

join

More features

Remote DataFrames (documentation coming soon)
Integration into Jupyter and Voila for interactive notebooks and dashboards
Machine Learning without (explicit) pipelines

Contributing

See contributing page.

Slack

Join the discussion in our Slack channel!

Learn more about Vaex

Articles
Follow our tutorials
Watch our more recent talks:
- PyData London 2019
- SciPy 2019
Contact us for data science solutions, training, or enterprise support at https://vaex.io/

vaex-core dependencies

aplus blake3 cloudpickle dask filelock frozendict future nest-asyncio numpy pandas progressbar2 pyarrow pydantic pyyaml requests rich six tabulate

FAQs

What is vaex-core?

Core of vaex. Visit Snyk Advisor to see a full health score report for vaex-core, including popularity, security, maintenance & community analysis.

Is vaex-core popular?

The python package vaex-core receives a total of 20,017 weekly downloads. As such, vaex-core popularity was classified as a popular. Visit the popularity section on Snyk Advisor to see the full health analysis.

Is vaex-core well maintained?

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

Is vaex-core safe to use?

While scanning the latest version of vaex-core, 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 8 May-2024, at 02:10 (UTC).

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vaex-core

Core of vaex For more information about how to use this package see README

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Package Health Score

Popularity

Direct Usage Popularity

Security

Security and license risk for latest version

Maintenance

Commit Frequency

Community

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Package

Readme

What is Vaex?

Installing

Key features

Instant opening of Huge data files (memory mapping)

Expression system

Out-of-core DataFrame

Fast groupby / aggregations

Fast and efficient join

More features

Contributing

Slack

Learn more about Vaex

vaex-core dependencies

FAQs

What is vaex-core?

Is vaex-core popular?

Is vaex-core well maintained?

Is vaex-core 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

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

Readme

What is Vaex?

Installing

Key features

Instant opening of Huge data files (memory mapping)

Expression system

Out-of-core DataFrame

Fast groupby / aggregations

Fast and efficient join

More features

Contributing

Slack

Learn more about Vaex

vaex-core dependencies

FAQs

What is vaex-core?

Is vaex-core popular?

Is vaex-core well maintained?

Is vaex-core 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