sportgems | Find valuable gems in your activities

by fgebhart Rust Version: 0.8.0 License: MIT

X-Ray Key Features Code Snippets Community Discussions Vulnerabilities Install Support

kandi X-RAY | sportgems Summary

sportgems is a Rust library. sportgems has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

Sportgems lets you efficiently parse your activity data. It will search and find your sections with either max velocity or max climb (see below). It will determine the start, end and speed of whatever desired sections you are interested in, e.g. 1km, 2km, 10km and others.

Support

Quality

Security

License

Reuse

Support

sportgems has a low active ecosystem.

It has 4 star(s) with 0 fork(s). There are 2 watchers for this library.

It had no major release in the last 12 months.

There are 0 open issues and 3 have been closed. On average issues are closed in 1 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of sportgems is 0.8.0

Quality

sportgems has no bugs reported.

Security

sportgems has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

sportgems is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

sportgems releases are available to install and integrate.

Installation instructions, examples and code snippets are available.

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sportgems Key Features

No Key Features are available at this moment for sportgems.

sportgems Examples and Code Snippets

No Code Snippets are available at this moment for sportgems.

Community Discussions

No Community Discussions are available at this moment for sportgems.Refer to stack overflow page for discussions.

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install sportgems

Sportgems is written in rust and bundled in a python package using pyo3. Simply install it using pip:.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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