codecov-python | Python report uploader for Codecov | Dashboard library

by codecov Python Version: v2.1.13 License: Apache-2.0

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | codecov-python Summary

codecov-python is a Python library typically used in Analytics, Dashboard applications. codecov-python has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can install using 'pip install codecov-python' or download it from GitHub, PyPI.

Python report uploader for Codecov

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Quality

Security

License

Reuse

Support

codecov-python has a low active ecosystem.

It has 181 star(s) with 156 fork(s). There are 23 watchers for this library.

It had no major release in the last 12 months.

There are 22 open issues and 133 have been closed. On average issues are closed in 611 days. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of codecov-python is v2.1.13

Quality

codecov-python has 0 bugs and 34 code smells.

Security

codecov-python has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

codecov-python code analysis shows 0 unresolved vulnerabilities.

There are 1 security hotspots that need review.

License

codecov-python is licensed under the Apache-2.0 License. This license is Permissive.

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

Reuse

codecov-python releases are available to install and integrate.

Deployable package is available in PyPI.

Build file is available. You can build the component from source.

Installation instructions are not available. Examples and code snippets are available.

codecov-python saves you 801 person hours of effort in developing the same functionality from scratch.

It has 1840 lines of code, 64 functions and 6 files.

It has high code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed codecov-python and discovered the below as its top functions. This is intended to give you an instant insight into codecov-python implemented functionality, and help decide if they suit your requirements.

Runs the coverage module
Run a command and return its output
Run command and return its output
Returns content of file
Write text to terminal
Read a file or directory
Return the content of the file
Print text
Find files matching pattern
Try to run a given command
Generate a txt file
Retry upload method
Adds a value to the list
Sanitize an argument

Get all kandi verified functions for this library.

codecov-python Key Features

No Key Features are available at this moment for codecov-python.

codecov-python Examples and Code Snippets

No Code Snippets are available at this moment for codecov-python.

Community Discussions

Trending Discussions on codecov-python

Coverage reports not being processed by codecov anymore

QUESTION

Coverage reports not being processed by codecov anymore

Asked 2019-Jul-16 at 10:32

I had setup codecov with gitlab pipelines a while back and was able to see coverage reports in codecov. Since the initial setup the reports stopped processing after a few commits, and I have not been able to figure out what I'm doing wrong to get the reports processing again.

In gitlab pipelines I use tox and pip install codecov:

...

ANSWER

Answered 2019-Jul-16 at 10:32

Looks like maybe this was something on the codecov.io side. I didn't change anything, but came into coverage reports parsing and the badge working again this morning.

Source https://stackoverflow.com/questions/56956031

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

Vulnerabilities

No vulnerabilities reported

Install codecov-python

You can install using 'pip install codecov-python' or download it from GitHub, PyPI.
You can use codecov-python like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

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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