devtools VS testing-feat

Compare devtools vs testing-feat and see what are their differences.

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devtools testing-feat
- -
2 25
- -
0.0 0.0
over 4 years ago almost 7 years ago
Haskell Haskell
BSD 3-clause "New" or "Revised" License BSD 3-clause "New" or "Revised" License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

devtools

Posts with mentions or reviews of devtools. We have used some of these posts to build our list of alternatives and similar projects.

We haven't tracked posts mentioning devtools yet.
Tracking mentions began in Dec 2020.

testing-feat

Posts with mentions or reviews of testing-feat. We have used some of these posts to build our list of alternatives and similar projects.

We haven't tracked posts mentioning testing-feat yet.
Tracking mentions began in Dec 2020.

What are some alternatives?

When comparing devtools and testing-feat you can also consider the following projects:

faker - Faker is pure Haskell library for generating fake data.

DocTest - An implementation of Python's doctest for Haskell

curl-runnings - A declarative test framework for quickly and easily writing integration tests against JSON APIs.

benchpress - Micro-benchmarking of Haskell code with detailed execution time statistics.

HUnit - A unit testing framework for Haskell

checkers - Check properties on standard classes and data structures

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Collect, organize, and act on massive volumes of high-resolution data to power real-time intelligent systems.
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Revolutionize your code reviews with AI. CodeRabbit offers PR summaries, code walkthroughs, 1-click suggestions, and AST-based analysis. Boost productivity and code quality across all major languages with each PR.
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