Package Health Score

81 / 100

security
No known security issues
popularity
Recognized
maintenance
Healthy
community
Sustainable

Popularity

Recognized

GitHub Stars: 65
Forks: 25
Contributors: 20

Direct Usage Popularity

Based on project statistics from the GitHub repository for the PyPI package hdf5plugin, we found that it has been starred 65 times.

Security

No known security issues

Security and license risk for latest version

Release Date: Aug 30, 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

(BSD-2-Clause OR MIT OR Zlib)

Security Policy

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Maintenance

Healthy

Commit Frequency

Open Issues: 10
Open PR: 3
Last Release: 20 days ago
Last Commit: 20 days ago

Further analysis of the maintenance status of hdf5plugin based on released PyPI versions cadence, the repository activity, and other data points determined that its maintenance is Healthy.

We found that hdf5plugin 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: No
Code of Conduct: No
Contributors: 20
Funding: No

With more than 10 contributors for the hdf5plugin 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 hdf5plugin is missing a Code of Conduct.

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Package

Python Versions Compatibility: >=3.8

Age: 8 years
Latest Release: 20 days ago
Dependencies: 0 Direct
Versions: 33
Maintainers: 2
Wheels: Linux, macOS, Windows

Not sure how to use hdf5plugin?

To help you get started, we've collected the most common ways that hdf5plugin is being used within popular public projects.

silx-kit / hdf5plugin / hdf5plugin / __init__.py View on Github

Default: 0 (for about 8kB per block).
    :param bool lz4:
        Whether to use LZ4_ID compression or not as part of the filter.
        Default: True
    """
    filter_id = BSHUF_ID

    def __init__(self, nelems=0, lz4=True):
        nelems = int(nelems)
        assert nelems % 8 == 0

        lz4_enabled = 2 if lz4 else 0
        self.filter_options = (nelems, lz4_enabled)


class LZ4(_FilterRefClass):
    """h5py.Group.create_dataset's compression and compression_opts arguments for using lz4 filter.

    :param int nelems:
        The number of bytes per block.
        Default: 0 (for 1GB per block).
    """
    filter_id = LZ4_ID

    def __init__(self, nbytes=0):
        nbytes = int(nbytes)
        assert 0 &lt;= nbytes &lt;= 0x7E000000
        self.filter_options = (nbytes,)


def _init_filters():
    """Initialise and register HDF5 filters with h5py

View more ways to use hdf5plugin

hdf5plugin

hdf5plugin provides HDF5 compression filters (namely: Blosc, Blosc2, BitShuffle, BZip2, FciDecomp, LZ4, Sperr, SZ, SZ3, Zfp, ZStd) and makes them usable from h5py.

See documentation.

Installation

To install, run:

pip install hdf5plugin [--user]

or, with conda ():

conda install -c conda-forge hdf5plugin

To install from source and recompile the HDF5 plugins, run:

pip install hdf5plugin --no-binary hdf5plugin [--user]

Installing from source can achieve better performances by enabling AVX2 and OpenMP if available.

For more details, see the installation documentation.

How-to use

To use it, just use import hdf5plugin and supported compression filters are available from h5py.

For details, see Usage documentation.

License

The source code of hdf5plugin itself is licensed under the MIT license.

Embedded HDF5 compression filters are licensed under different open-source licenses: see the license documentation.

FAQs

What is hdf5plugin?

HDF5 Plugins for Windows, MacOS, and Linux. Visit Snyk Advisor to see a full health score report for hdf5plugin, including popularity, security, maintenance & community analysis.

Is hdf5plugin popular?

The python package hdf5plugin receives a total of 47,227 weekly downloads. As such, hdf5plugin popularity was classified as a recognized. Visit the popularity section on Snyk Advisor to see the full health analysis.

Is hdf5plugin well maintained?

We found that hdf5plugin 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 hdf5plugin safe to use?

The python package hdf5plugin 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 18 September-2024, at 02:11 (UTC).

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hdf5plugin

HDF5 Plugins for Windows, MacOS, and Linux For more information about how to use this package see README

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Package Health Score

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Community

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Package

Not sure how to use hdf5plugin?

hdf5plugin

Installation

How-to use

License

FAQs

What is hdf5plugin?

Is hdf5plugin popular?

Is hdf5plugin well maintained?

Is hdf5plugin 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

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Not sure how to use hdf5plugin?

hdf5plugin

Installation

How-to use

License

FAQs

What is hdf5plugin?

Is hdf5plugin popular?

Is hdf5plugin well maintained?

Is hdf5plugin 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