Slash VS hypothesis

Compare Slash vs hypothesis and see what are their differences.

Slash

The Slash testing infrastructure (by getslash)

hypothesis

Hypothesis is a powerful, flexible, and easy to use library for property-based testing. (by HypothesisWorks)
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Slash hypothesis
0 20
75 7,225
- 1.2%
5.3 9.9
5 months ago 4 days ago
Python Python
GNU General Public License v3.0 or later GNU General Public License v3.0 or later
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.

Slash

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

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

hypothesis

Posts with mentions or reviews of hypothesis. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-11-12.
  • A Tale of Two Kitchens - Hypermodernizing Your Python Code Base
    31 projects | dev.to | 12 Nov 2023
    Hypothesis for Property-Based Testing: Hypothesis is a Python library facilitating property-based testing. It offers a distinct advantage by generating a wide array of input data based on specified properties or invariants within the code. The perks of Hypothesis include:
  • Pix2tex: Using a ViT to convert images of equations into LaTeX code
    5 projects | news.ycombinator.com | 3 Nov 2023
    But then add tests! Tests for LaTeX equations that had never been executable as code.

    https://github.com/HypothesisWorks/hypothesis :

    > Hypothesis is a family of testing libraries which let you write tests parametrized by a source of examples. A Hypothesis implementation then generates simple and comprehensible examples that make your tests fail. This simplifies writing your tests and makes them more powerful at the same time, by letting software automate the boring bits and do them to a higher standard than a human would, freeing you to focus on the higher level test logic.

    > This sort of testing is often called "property-based testing", and the most widely known implementation of the concept is the Haskell library QuickCheck, but Hypothesis differs significantly from QuickCheck and is designed to fit idiomatically and easily into existing styles of testing that you are used to, with absolutely no familiarity with Haskell or functional programming needed.

  • Python toolkits
    38 projects | /r/Python | 15 Jul 2022
    Hypothesis to generate dummy data for test.
  • Best way to test GraphQL API using Python?
    4 projects | /r/graphql | 28 Jun 2022
    To create your own test cases, I recommend you use hypothesis-graphql in combination with hypothesis. hypothesis is a property-based testing library. Property-based testing is an approach to testing in which you make assertions about the result of a test given certain conditions and parameters. For example, if you have a mutation that requires a boolean parameter, you can assert that the client will receive an error if it sends a different type. hypothesis-graphql is a GraphQL testing library that knows how to use hypothesis strategies to generate query documents.
  • Fuzzcheck (a structure-aware Rust fuzzer)
    4 projects | /r/rust | 26 Feb 2022
    The Hypothesis stateful testing code is somewhat self-contained, since it mostly builds on top of internal APIs that already existed.
  • Running C unit tests with pytest
    6 projects | news.ycombinator.com | 12 Feb 2022
    We've had a lot of success combining that approach with property-based testing (https://github.com/HypothesisWorks/hypothesis) for the query engine at backtrace: https://engineering.backtrace.io/2020-03-11-how-hard-is-it-t... .
  • Machine Readable Specifications at Scale
    4 projects | news.ycombinator.com | 26 Jan 2022
    Systems I've used for this include https://agda.readthedocs.io/en/v2.6.0.1/getting-started/what... https://coq.inria.fr https://www.idris-lang.org and https://isabelle.in.tum.de

    An easier alternative is to try disproving the statement, by executing it on thousands of examples and seeing if any fail. That gives us less confidence than a full proof, but can still be better than traditional "there exists" tests. This is called property checking or property-based testing. Systems I've used for this include https://hypothesis.works https://hackage.haskell.org/package/QuickCheck https://scalacheck.org and https://jsverify.github.io

  • Top 5 decentralized app development frameworks
    4 projects | dev.to | 29 Nov 2021
    Unlike other frameworks mentioned in this article, Brownie’s test language is Python using hypothesis.
  • What Is Property Based Testing?
    4 projects | news.ycombinator.com | 19 Sep 2021
  • Go: Fuzzing Is Beta Ready
    4 projects | news.ycombinator.com | 4 Jun 2021
    People can have different definitions and still communicate usefully, and I think there is not 100% agreement on the exact boundaries between the two.

    That said, for me: they are distinct but related, and that distinction is useful.

    For example, Hypothesis is a popular property testing framework. The authors have more recently created HypoFuzz, which includes this sentence in the introduction:

    “HypoFuzz runs your property-based test suite, using cutting-edge fuzzing techniques and coverage instrumentation to find even the rarest inputs which trigger an error.”

    Being able to talk about fuzzing and property testing as distinct things seems useful — saying something like “We added fuzzing techniques to our property testing framework“ is more meaningful than “We added property testing techniques to our property testing framework“ ;-)

    My personal hope is there will be more convergence, and work to add first-class fuzzing support in a popular language like Go will hopefully help move the primary use case for fuzzing to be about correctness, with security moving to an important but secondary use case.

    [0] https://hypothesis.works

What are some alternatives?

When comparing Slash and hypothesis you can also consider the following projects:

pytest - The pytest framework makes it easy to write small tests, yet scales to support complex functional testing

Robot Framework - Generic automation framework for acceptance testing and RPA

Behave - BDD, Python style.

nose2 - The successor to nose, based on unittest2

nose - nose is nicer testing for python

Schemathesis - Automate your API Testing: catch crashes, validate specs, and save time

mamba - The definitive testing tool for Python. Born under the banner of Behavior Driven Development (BDD).