awesome-fastapi
CrossHair
awesome-fastapi | CrossHair | |
---|---|---|
5 | 8 | |
7,494 | 948 | |
- | - | |
4.8 | 9.2 | |
about 2 months ago | 12 days ago | |
Python | ||
Creative Commons Zero v1.0 Universal | 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.
awesome-fastapi
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What are some amazing, great python external modules, libraries to explore?
Aweome asyncio Awesome Django Awesome FastAPI
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Flask Allowed Me to Implement My Startup for only $12.
This list has a lot of goodies
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⚡ FastAPI Websocket RPC and Pub/Sub packages
Was just about to suggest you add it to the Awesome FastAPI but another contributor already did. This looks very cool and I will definitely try it out on a project I am working on currently. Thank you!
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Project structure for scalable fastapi project.
You can find a number of large open source projects here: https://github.com/mjhea0/awesome-fastapi#open-source-projects.
- Good Resources for Learning FastAPI ?
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.
What are some alternatives?
fastapi-boilerplate - A template repository to start your FastAPI backend projects.
pynguin - The PYthoN General UnIt Test geNerator is a test-generation tool for Python
awesome-nodejs - :zap: Delightful Node.js packages and resources
icontract-hypothesis - Combine contracts and automatic testing.
fastapi_websocket_pubsub - Fork of https://github.com/permitio/fastapi_websocket_pubsub
angr - A powerful and user-friendly binary analysis platform!
the-book-of-secret-knowledge - A collection of inspiring lists, manuals, cheatsheets, blogs, hacks, one-liners, cli/web tools and more.
alive2 - Automatic verification of LLVM optimizations
fastango - Simplifies class-based views for more organized and maintainable code in FastAPI ✨
klee - KLEE Symbolic Execution Engine
databases - Async database support for Python. 🗄
miasm - Reverse engineering framework in Python