chartpy

v0.1.14

chartpy creates a simple easy to use API to plot in a number of great Python chart libraries For more information about how to use this package see README

Latest version published 9 months ago

License: Apache-2.0

PyPI

GitHub

Package Health Score

56 / 100

security
Security review needed
popularity
Small
maintenance
Sustainable
community
Limited

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Popularity

Small

GitHub Stars: 550
Forks: 94
Contributors: 2

Direct Usage Popularity

Based on project statistics from the GitHub repository for the PyPI package chartpy, we found that it has been starred 550 times.

Security

Security review needed

Security and license risk for latest version

Release Date: Apr 10, 2024
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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4
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All security vulnerabilities belong to production dependencies of direct and indirect packages.

License

Apache-2.0

Security Policy

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Maintenance

Sustainable

Commit Frequency

Open Issues: 6
Open PR: 1
Last Release: 9 months ago
Last Commit: 1 month ago

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

We found that chartpy demonstrates a positive version release cadence with at least one new version released in the past 12 months.

In the past month we didn't find any pull request activity or change in issues status has been detected for the GitHub repository.

Community

Limited

Readme: Yes
Contributing.md: No
Code of Conduct: No
Contributors: 2
Funding: Yes

This project has seen only 10 or less contributors.

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

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Package

Python Versions Compatibility: Unspecified

Age: 5 years
Latest Release: 9 months ago
Dependencies: 11 Direct / 54 Total
Versions: 11
Maintainers: 0
Wheels: OS Independent

Readme

chartpy creates a simple easy to use API to plot in a number of great Python chart libraries like plotly (via cufflinks), bokeh and matplotlib, with a unified interface. You simply need to change a single keyword to change which chart engine to use (see below), rather than having to learn the low level details of each library. I've also created new stylesheets and formatting to ensure that the default matplotlib styling looks more modern using Open Sans font. The library also works well with Dash, plotly's web server library built on top of Flask.

chartpy dependencies

bokeh chart-studio cufflinks matplotlib numpy pandas pdfkit pytz requests twython vispy

FAQs

What is chartpy?

chartpy creates a simple easy to use API to plot in a number of great Python chart libraries. Visit Snyk Advisor to see a full health score report for chartpy, including popularity, security, maintenance & community analysis.

Is chartpy popular?

The python package chartpy receives a total of 253 weekly downloads. As such, chartpy popularity was classified as small. Visit the popularity section on Snyk Advisor to see the full health analysis.

Is chartpy well maintained?

We found indications that chartpy maintenance is sustainable demonstrating some project activity. We saw a total of 2 open source contributors collaborating on the project. See the full package health analysis to learn more about the package maintenance status.

Is chartpy safe to use?

While scanning the latest version of chartpy, 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 23 December-2024, at 15:18 (UTC).

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