astroid
pynguin
| astroid | pynguin | |
|---|---|---|
| 2 | 11 | |
| 510 | 1,200 | |
| 0.6% | 1.0% | |
| 9.1 | 8.2 | |
| 5 days ago | 9 days ago | |
| Python | Python | |
| GNU Lesser General Public License v3.0 only | MIT License |
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.
astroid
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astroid VS parso - a user suggested alternative
2 projects | 9 Oct 2022
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Klara: Python automatic test generations and static analysis library
It also provide inference for static analysis purposes, similar to astroid, with SMT support. E.g.
pynguin
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There is framework for everything.
https://swagger.io/specification/ https://github.com/se2p/pynguin
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Supposed to create tests for a massive project, how should I go about it?
I would use black to reformat this, then, if you can't refactor/rewrite (which is a lot of work!) I would try automated test generation via something like pynguin or fuzzing. I mean … this is not going to be a reliable solution anyways if the codebase is like that. So I would go in a direction that I find interesting to learn about and that could be helpful for the project. That would be generating tests and doing fuzzing. In the end you should run some linters anyways so that you can justify your results and show that the task is not in the scope of an internship and needs extensive refactoring.
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Klara: Python automatic test generations and static analysis library
The main difference that Klara bring to the table, compared to similar tool like pynguin and Crosshair is that the analysis is entirely static, meaning that no user code will be executed, and you can easily extend the test generation strategy via plugin loading (e.g. the options arg to the Component object returned from function above is not needed for test coverage).
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Does anybody know a simple algorithm for generating unit tests given a function's code?
Automated White-box test generation software: * https://github.com/EMResearch/EvoMaster -- for integration tests. * https://github.com/se2p/pynguin, https://pynguin.readthedocs.io/en/latest/user/quickstart.html -- unit test generation for python
- se2p/pynguin Pynguin, the PYthoN General UnIt test geNerator, is a tool that allows developers to generate unit tests automatically.
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Hacker News top posts: Jun 1, 2021
Pynguin – Generate Python unit tests automatically\ (60 comments)
- Pynguin – Generate Python unit tests automatically
- Pynguin – Allow developers to generate Python unit tests automatically
What are some alternatives?
vermin - Concurrently detect the minimum Python versions needed to run code
CrossHair - An analysis tool for Python that blurs the line between testing and type systems.
ModiScript - Acche din aa gaye
EvoMaster - The first open-source AI-driven tool for automatically generating system-level test cases (also known as fuzzing) for web/enterprise applications. Currently targeting whitebox and blackbox testing of Web APIs, like REST, GraphQL and RPC (e.g., gRPC and Thrift).
experta - Expert Systems for Python
klara - Automatic test case generation for python and static analysis library
parso - Parso is a Python parser that supports error recovery and round-trip parsing for different Python versions (in multiple Python versions).
icontract-hypothesis - Combine contracts and automatic testing.
methods2test - methods2test is a supervised dataset consisting of Test Cases and their corresponding Focal Methods from a set of Java software repositories
TatSu - 竜 TatSu generates Python parsers from grammars in a variation of EBNF
code - Example application code for the python architecture book