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  1. Stackups
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  4. Pypi Packages
  5. codecov vs coveralls

codecov vs coveralls

OverviewComparisonAlternatives

Overview

coveralls
coveralls
Stacks73
Followers0
Votes0
codecov
codecov
Stacks61
Followers0
Votes0
GitHub Stars185
Forks187

codecov vs coveralls: What are the differences?

codecov: Hosted coverage reports for Github, Bitbucket and Gitlab. Hosted coverage reports for Github, Bitbucket and Gitlab; coveralls: Show coverage stats online via coveralls.io. Show coverage stats online via coveralls.io.

codecov and coveralls can be primarily classified as "PyPI Packages" tools.

codecov and coveralls are both open source tools. It seems that coveralls with 452 GitHub stars and 166 forks on GitHub has more adoption than codecov with 164 GitHub stars and 132 GitHub forks.

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Detailed Comparison

coveralls
coveralls
codecov
codecov

Show coverage stats online via coveralls.io.

Hosted coverage reports for Github, Bitbucket and Gitlab.

Statistics
GitHub Stars
-
GitHub Stars
185
GitHub Forks
-
GitHub Forks
187
Stacks
73
Stacks
61
Followers
0
Followers
0
Votes
0
Votes
0

What are some alternatives to coveralls, codecov?

google

google

Python bindings to the Google search engine.

requests

requests

Python HTTP for Humans.

pytest

pytest

Pytest: simple powerful testing with Python.

boto3

boto3

The AWS SDK for Python.

pandas

pandas

Powerful data structures for data analysis, time series, and statistics.

numpy

numpy

NumPy is the fundamental package for array computing with Python.

six

six

Python 2 and 3 compatibility utilities.

urllib3

urllib3

HTTP library with thread-safe connection pooling, file post, and more.

python-dateutil

python-dateutil

Extensions to the standard Python datetime module.

flake8

flake8

The modular source code checker: pep8, pyflakes and co.

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