HUnit

HUnit

Hackage
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About

HUnit is a unit testing framework for Haskell, inspired by the JUnit tool for Java. It's easy to use HUnit, assuming you are familiar with Haskell, though not necessarily with JUnit. A test-centered methodology for software development is most effective when tests are easy to create, change, and execute. The JUnit tool pioneered support for test-first development in Java. HUnit is an adaptation of JUnit to Haskell, a general-purpose, purely functional programming language. With HUnit, as with JUnit, you can easily create tests, name them, group them into suites, and execute them, with the framework checking the results automatically. Test specification in HUnit is even more concise and flexible than in JUnit, thanks to the nature of the Haskell language. HUnit currently includes only a text-based test controller, but the framework is designed for easy extension. Run the tests as a group.

About

Every expression in Haskell has a type that is determined at compile time. All the types composed together by function application have to match up. If they don't, the program will be rejected by the compiler. Types become not only a form of guarantee, but a language for expressing the construction of programs. Every function in Haskell is a function in the mathematical sense (i.e., "pure"). Even side-effecting IO operations are but a description of what to do, produced by pure code. There are no statements or instructions, only expressions that cannot mutate variables (local or global) nor access state like time or random numbers. You don't have to explicitly write out every type in a Haskell program. Types will be inferred by unifying every type bidirectionally. However, you can write out types if you choose, or ask the compiler to write them for you for handy documentation.

About

Fast and versatile, the NumPy vectorization, indexing, and broadcasting concepts are the de-facto standards of array computing today. NumPy offers comprehensive mathematical functions, random number generators, linear algebra routines, Fourier transforms, and more. NumPy supports a wide range of hardware and computing platforms, and plays well with distributed, GPU, and sparse array libraries. The core of NumPy is well-optimized C code. Enjoy the flexibility of Python with the speed of compiled code. NumPy’s high level syntax makes it accessible and productive for programmers from any background or experience level. NumPy brings the computational power of languages like C and Fortran to Python, a language much easier to learn and use. With this power comes simplicity: a solution in NumPy is often clear and elegant.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Any user looking for a solution to run, execute, specify, and manage tests for their software development tasks

Audience

Developers in need of a purely functional solution to create, build and test applications

Audience

Component Library solution for DevOps teams

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Pricing

Free
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Pricing

Free
Free Version
Free Trial

Pricing

Free
Free Version
Free Trial

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ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

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Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

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Training

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Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
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Live Online
In Person

Company Information

Hackage
United States
hackage.haskell.org/package/HUnit

Company Information

Haskell
www.haskell.org

Company Information

NumPy
numpy.org

Alternatives

Alternatives

Alternatives

AgitarOne

AgitarOne

Agitar Technologies
Nix

Nix

NixOS
h5py

h5py

HDF5
Apache Groovy

Apache Groovy

The Apache Software Foundation
unittest

unittest

Python
HUnit

HUnit

Hackage
Apache AntUnit

Apache AntUnit

Apache Software Foundation

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Integrations

AWS Cloud9
Amp
Apache NetBeans
CodeSnack IDE
Codecov
Gensim
Helix Editor
ImmuneBytes
JAX
PostgresML
PyCharm
Replit
Replit Agent
Snipplr
Spyder
SwapCode AI
Train in Data
Visual Studio Code
Yamak.ai
jEdit

Integrations

AWS Cloud9
Amp
Apache NetBeans
CodeSnack IDE
Codecov
Gensim
Helix Editor
ImmuneBytes
JAX
PostgresML
PyCharm
Replit
Replit Agent
Snipplr
Spyder
SwapCode AI
Train in Data
Visual Studio Code
Yamak.ai
jEdit
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