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Hypothesis Alternatives
Similar projects and alternatives to hypothesis
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pytest
The pytest framework makes it easy to write small tests, yet scales to support complex functional testing
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Robot Framework
Generic automation framework for acceptance testing and RPA
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InfluxDB
Build time-series-based applications quickly and at scale.. InfluxDB is the Time Series Platform where developers build real-time applications for analytics, IoT and cloud-native services. Easy to start, it is available in the cloud or on-premises.
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Schemathesis
Run thousands of randomly generated test scenarios based on your API specification and always be sure your API works as expected.
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mamba
The definitive testing tool for Python. Born under the banner of Behavior Driven Development (BDD). (by nestorsalceda)
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Sonar
Write Clean Python Code. Always.. Sonar helps you commit clean code every time. With over 225 unique rules to find Python bugs, code smells & vulnerabilities, Sonar finds the issues while you focus on the work.
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awesome-python
A curated list of awesome Python frameworks, libraries, software and resources
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fast-check
Property based testing framework for JavaScript (like QuickCheck) written in TypeScript
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Python Testing Crawler
A crawler for automated functional testing of a web application
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fastapi
FastAPI framework, high performance, easy to learn, fast to code, ready for production
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cookiecutter
A cross-platform command-line utility that creates projects from cookiecutters (project templates), e.g. Python package projects, C projects.
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SaaSHub
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NOTE:
The number of mentions on this list indicates mentions on common posts plus user suggested alternatives.
Hence, a higher number means a better hypothesis alternative or higher similarity.
hypothesis reviews and mentions
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 2022-07-15.
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Python toolkits
Hypothesis to generate dummy data for test.
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Best way to test GraphQL API using Python?
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.
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Fuzzcheck (a structure-aware Rust fuzzer)
The Hypothesis stateful testing code is somewhat self-contained, since it mostly builds on top of internal APIs that already existed.
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Running C unit tests with pytest
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... .
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Machine Readable Specifications at Scale
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
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Top 5 decentralized app development frameworks
Unlike other frameworks mentioned in this article, Brownie’s test language is Python using hypothesis.
- What Is Property Based Testing?
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Go: Fuzzing Is Beta Ready
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.
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Ghostwriter: totally automated testing
here's the Hypothesis website
read the Ghostwriter source code here if you dare (it's commented but also, ah, complicated)
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A note from our sponsor - InfluxDB
www.influxdata.com | 31 Jan 2023
Stats
Basic hypothesis repo stats
16
6,471
9.8
6 days ago
HypothesisWorks/hypothesis is an open source project licensed under GNU General Public License v3.0 or later which is an OSI approved license.
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