CrossHair
awesome-python
CrossHair | awesome-python | |
---|---|---|
8 | 85 | |
948 | 205,414 | |
- | - | |
9.2 | 7.0 | |
11 days ago | 15 days ago | |
Python | Python | |
GNU General Public License v3.0 or later | GNU General Public License v3.0 or later |
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.
CrossHair
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Try CrossHair while working other Python projects
Writing some Python for Hacktoberfest? Try out CrossHair while you do that and get credit for a blog post too! https://github.com/pschanely/CrossHair/issues/173
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What are some amazing, great python external modules, libraries to explore?
CrossHair, Hypothesis, and Mutmut for advanced testing.
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Formal Verification Methods in industry
When you say "formal verification methods", what kind of techniques are you interested in? While using interactive theorem provers will most likely not become very widespread, there are plenty of tools that use formal techniques to give more correctness guarantees. These tools might give some guarantees, but do not guarantee complete functional correctness. WireGuard (VPN tunnel) is I think a very interesting application where they verified the protocol. There are also some tools in use, e.g. Mythril and CrossHair, that focus on detecting bugs using symbolic execution. There's also INFER from Facebook/Meta which tries to verify memory safety automatically. The following GitHub repo might also interest you, it lists some companies that use formal methods: practical-fm
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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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Pynguin – Allow developers to generate Python unit tests automatically
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
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Programming in Z3 by learning to think like a compiler
There's a tool for verification of Python programs based on contracts which uses Z3: https://github.com/pschanely/CrossHair
You can use it as part of your CI or during the development (there's even a neat "watch" mode, akin to auto-correct).
- Diff the behavior of two Python functions
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Finding Software Bugs Using Symbolic Execution
Looking at some of your SMT-based projects, I'd love to compare your SMT solver notes with my mine from working on https://github.com/pschanely/CrossHair
Sadly, there aren't a lot of resources on how to use SMT solvers well.
awesome-python
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How I do technology watch
Python: https://github.com/vinta/awesome-python
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Top 10 GitHub Repositories Every Developer Should Bookmark in 2024
6) Awesome Python: Embrace the power of Python with this extensive collection of awesome libraries, frameworks, resources, and software. Whether you're a seasoned Pythonista or just starting your journey, this repository is your ultimate guide to maximizing the potential of this versatile language. (https://github.com/vinta/awesome-python)
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Good coding groups for black women?
- https://github.com/vinta/awesome-python
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Top GitHub Resources to Level Up Your Python game
🎇 Repository Link: Awesome Python
- GitHub - vinta/awesome-python: A curated list of awesome Python frameworks, libraries, software and resources
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10 Github repositories to achieve Python mastery
Explore here.
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Alternatives?
I know of curated lists like https://github.com/vinta/awesome-python but they are nowhere close to alternativeto.net in terms of information (relations) and community involvement.
- Help me out.
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Ask HN: Best place/resource to learn metaprogramming in Python
https://github.com/vinta/awesome-python
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Which MATLAB course to take for undecided
There are a lot of python packages for engineering and scientific applications (as well as other applications in general, and, thanks to the inherently collaborative nature of free software, they are only growing in quantity and quality. Many MATLAB toolboxes already have Python equivalents.
What are some alternatives?
pynguin - The PYthoN General UnIt Test geNerator is a test-generation tool for Python
Qtile-Config - This is my configuration of Qtile, a window manager written in python.
icontract-hypothesis - Combine contracts and automatic testing.
VeRyPy - A python library with implementations of 15 classical heuristics for the capacitated vehicle routing problem.
angr - A powerful and user-friendly binary analysis platform!
Pyadomd - A pythonic approach to query SSAS data models.
alive2 - Automatic verification of LLVM optimizations
ydata-profiling - 1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.
klee - KLEE Symbolic Execution Engine
DearPyGui - Dear PyGui: A fast and powerful Graphical User Interface Toolkit for Python with minimal dependencies
miasm - Reverse engineering framework in Python
Box - Python dictionaries with advanced dot notation access