Package Health Score

64 / 100

security
No known security issues
popularity
Limited
maintenance
Sustainable
community
Sustainable

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Popularity

Limited

GitHub Stars: 24
Forks: 8
Contributors: 40

Direct Usage Popularity

Based on project statistics from the GitHub repository for the PyPI package plateau, we found that it has been starred 24 times.

Security

No known security issues

Security and license risk for latest version

Release Date: May 23, 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

MIT

Security Policy

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Maintenance

Sustainable

Commit Frequency

Open Issues: 4
Open PR: 0
Last Release: 7 months ago
Last Commit: 8 days ago

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

We found that plateau 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

Sustainable

Readme: Yes
Contributing.md: Yes
Code of Conduct: No
Contributors: 40
Funding: No

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

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Package

Python Versions Compatibility: >=3.8

Age: 3 years
Latest Release: 7 months ago
Dependencies: 8 Direct
Versions: 12
Maintainers: 0
Wheels: OS Independent

Readme

plateau

flat files, flat land

plateau is a Python library to manage (create, read, update, delete) large amounts of tabular data in a blob store. It stores data as datasets, which it presents as pandas DataFrames to the user. Datasets are a collection of files with the same schema that reside in a blob store. plateau uses a metadata definition to handle these datasets efficiently. For distributed access and manipulation of datasets plateau offers a Dask interface.

Storing data distributed over multiple files in a blob store (S3, ABS, GCS, etc.) allows for a fast, cost-efficient and highly scalable data infrastructure. A downside of storing data solely in an object store is that the storages themselves give little to no guarantees beyond the consistency of a single file. In particular, they cannot guarantee the consistency of your dataset. If we demand a consistent state of our dataset at all times, we need to track the state of the dataset. plateau frees us from having to do this manually.

The plateau.io module provides building blocks to create and modify these datasets in data pipelines. plateau handles I/O, tracks dataset partitions and selects subsets of data transparently.

Installation

Installers for the latest released version are availabe at the Python package index and on conda-forge.

# Install with pip
pip install plateau

# Install with conda/micromamba, optionally add conda-forge as a source
# conda config --add channels conda-forge
conda install plateau
micromamba install plateau

plateau dependencies

attrs click decorator prompt-toolkit pyyaml simplejson toolz zstandard

FAQs

What is plateau?

. Visit Snyk Advisor to see a full health score report for plateau, including popularity, security, maintenance & community analysis.

Is plateau popular?

The python package plateau receives a total of 146 weekly downloads. As such, plateau popularity was classified as limited. Visit the popularity section on Snyk Advisor to see the full health analysis.

Is plateau well maintained?

We found indications that plateau maintenance is sustainable demonstrating some project activity. We saw a total of 40 open source contributors collaborating on the project. See the full package health analysis to learn more about the package maintenance status.

Is plateau safe to use?

The python package plateau 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 December-2024, at 04:27 (UTC).

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plateau

null For more information about how to use this package see README

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Package Health Score

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Package

Readme

plateau

Installation

plateau dependencies

FAQs

What is plateau?

Is plateau popular?

Is plateau well maintained?

Is plateau safe to use?

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Package Health Score

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Direct Usage Popularity

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Commit Frequency

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Readme

plateau

Installation

plateau dependencies

FAQs

What is plateau?

Is plateau popular?

Is plateau well maintained?

Is plateau 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

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