Polyester.jl VS icontract-hypothesis

Compare Polyester.jl vs icontract-hypothesis and see what are their differences.

Polyester.jl

The cheapest threads you can find! (by JuliaSIMD)

icontract-hypothesis

Combine contracts and automatic testing. (by mristin)
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Polyester.jl icontract-hypothesis
3 3
214 74
5.6% -
7.5 0.0
13 days ago almost 2 years ago
Julia Python
MIT License MIT 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.

Polyester.jl

Posts with mentions or reviews of Polyester.jl. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-11-09.
  • [2207.08135] Parallelizing Explicit and Implicit Extrapolation Methods for Ordinary Differential Equations
    1 project | /r/Julia | 18 Jul 2022
    This is a new stiff ODE solver which uses multi-threading within the method to make the solve of single ODEs faster in cases where it's too small to benefit from implicit threading in BLAS. Uses Polyester mixed with a very specific adaptivity method to optimize the work calculation to hit this performance. And of note, it's the type of manual parallel algorithm that cannot use array-based parallelism offered by machine learning libraries, so it's an algorithm you kind of need to implement in C++ or... Julia! Was a fun multi-year project and am really glad to see it completed.
  • Concurrency in Julia
    5 projects | news.ycombinator.com | 9 Nov 2021
    The Folds.jl [1] package mentioned in the article is very nicely written.

    For another alternative to Julia's built-in `Threads.@threads` macro, folks may also be interested in checking out `@batch` from Polyester.jl [2] (formerly CheapThreads.jl), which features particularly low-overhead threading.

    [1] https://github.com/JuliaFolds/Folds.jl

    [2] https://github.com/JuliaSIMD/Polyester.jl

  • Pynguin – Allow developers to generate Python unit tests automatically
    4 projects | news.ycombinator.com | 31 May 2021

icontract-hypothesis

Posts with mentions or reviews of icontract-hypothesis. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-02-17.
  • Automated Unit Test Improvement Using Large Language Models at Meta
    6 projects | news.ycombinator.com | 17 Feb 2024
    https://github.com/mristin/icontract-hypothesis

    Nagini and deal-solver attempt to Formally Verify Python code with or without unit tests: https://news.ycombinator.com/item?id=39139198

    Additional research:

    "Fuzz target generation using LLMs" (2023)

  • Adding “invariant” clauses to C++ via GCC plugin to enable Design-by-Contract
    5 projects | news.ycombinator.com | 1 Jan 2023
    https://icontract.readthedocs.io/en/latest/usage.html#invari...

    For unit testing, there's icontract-hypothesis; with the Preconditions and Postconditions delineated by e.g. decorators, it's possible to generate many of the fuzz tests from the additional Design by Contract structure of the source.

    From https://github.com/mristin/icontract-hypothesis :

    > icontract-hypothesis combines design-by-contract with automatic testing.

    > It is an integration between icontract library for design-by-contract and Hypothesis library for property-based testing.

    > The result is a powerful combination that allows you to automatically test your code. Instead of writing manually the Hypothesis search strategies for a function, icontract-hypothesis infers them based on the function’s [sic] precondition

  • Pynguin – Allow developers to generate Python unit tests automatically
    4 projects | news.ycombinator.com | 31 May 2021
    Just in case you are looking for an alternative approach: if you write contracts in your code, you might also consider crosshair [1] or icontract-hypothesis [2]. If your function/method does not need any pre-conditions then the the type annotations can be directly used.

    (I'm one of the authors of icontract-hypothesis.)

    [1] https://github.com/pschanely/CrossHair

    [2] https://github.com/mristin/icontract-hypothesis

What are some alternatives?

When comparing Polyester.jl and icontract-hypothesis you can also consider the following projects:

CrossHair - An analysis tool for Python that blurs the line between testing and type systems.

pynguin - The PYthoN General UnIt Test geNerator is a test-generation tool for Python

parallel_primes_rs - A very naïve implementation of rust algorithm that finds all primes between two numbers

Primes.jl - Prime numbers in Julia

clang-contracts - Experimental support for contracts programming in clang++

Folds.jl - A unified interface for sequential, threaded, and distributed fold

AlphaCodium - Official implementation for the paper: "Code Generation with AlphaCodium: From Prompt Engineering to Flow Engineering""

ReusePatterns.jl - Implement composition and concrete subtyping in Julia.