LibCST
fastapi
LibCST | fastapi | |
---|---|---|
9 | 471 | |
1,428 | 71,444 | |
2.4% | - | |
8.5 | 9.8 | |
3 days ago | 4 days ago | |
Python | Python | |
GNU General Public License v3.0 or later | 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.
LibCST
- Show HN: Codemodder – A new codemod library for Java and Python
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Package that graphs and exports jpeg of CST/AST?
LibCST: Seems to only show in terminal.
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How to approach modifying source code programmatically?
While you can do this using ANTLR or any other lexing/parsing tool, it's honestly a bit of a pain. Whitespace and comments can go almost anywhere, even in the middle of expressions, so the grammar ends up becoming fairly messy. So, I'd recommend using a library that handles this for you, if at all possible. For example, if I wanted to code-mod Python I'd prob just use the LibCST library.
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ruff is a fast Python linter written in Rust
I recommend https://github.com/Instagram/LibCST (which is currently implementing rust bindings)
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How to handle line endings when writing files depending on OS?
I've been roughly copying some of the logic from the LibCST project. This struct in particular- https://github.com/Instagram/LibCST/blob/main/native/libcst/src/tokenizer/text_position/char_width.rs does a good job of normalizing the line endings of a str. The long way around you could mimic this construct, transform the str to normalized line endings, and then split on "\n" or make a somewhat more complicated transformer which turns a large str into a Vec (or Vec).
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We're the core team behind the popular Python autoformatter: Black. AMA!
I myself am working on upgrading LibCST's parser engine to support the new syntax, and then am hoping we can rewrite Black's formatting rules in terms of LibCST's API. That's not a small amount of work, which is why we can't confidently say that's going to be the way forward.
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Our Engineering Team Used Python's AST to Patch 100,000s of Lines of Code
Never used it but it appears that Facebook/Instagram have a format preserving CST library for Python: https://github.com/Instagram/LibCST
fastapi
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Github Sponsor Sebastián Ramírez Python programmer
He is probably most well know for creating FastAPI that I taught to some of my clients and Typer that I've never used.
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Python: A SQLAlchemy Wrapper Component That Works With Both Flask and FastAPI Frameworks
It has been an interesting exercise developing this wrapper component. The fact that it seamlessly integrates with the FastAPI framework is just a bonus for me; I didn't plan for it since I hadn't learned FastAPI at the time. I hope you find this post useful. Thank you for reading, and stay safe as always.
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FastAPI Best Practices: A Condensed Guide with Examples
FastAPI is a modern, high-performance web framework for building APIs with Python, based on standard Python type hints.
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Building an Email Assistant Application with Burr
In this tutorial, I will demonstrate how to use Burr, an open source framework (disclosure: I helped create it), using simple OpenAI client calls to GPT4, and FastAPI to create a custom email assistant agent. We’ll describe the challenge one faces and then how you can solve for them. For the application frontend we provide a reference implementation but won’t dive into details for it.
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FastAPI Got Me an OpenAPI Spec Really... Fast
That’s when I found FastAPI.
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How to Deploy a Fast API Application to a Kubernetes Cluster using Podman and Minikube
FastAPI & Uvicorn
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Analysing FastAPI Middleware Performance
Discussion at FastAPI GitHub: https://github.com/tiangolo/fastapi/issues/2696
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LangChain, Python, and Heroku
An API application framework (such as FastAPI)
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Litestar – powerful, flexible, and highly performant Python ASGI framework
It’s been my experience that async Python frameworks tend to turn IO bound problems into CPU bound problems with a high enough request rate, because due to their nature they act as unbounded queues.
This ends up made worse if you’re using sync routes.
If you’re constrained on a resource such as a database connection pool, your framework will continue to pull http requests off the wire that a sane client will cancel and retry due to timeouts because it takes too long to get a connection out of the pool. Since there isn’t a straightforward way to cancel the execution of a route handler in every Python http framework I’ve seen exhibit this problem, the problem quickly snowballs.
This is an issue with fastapi, too- https://github.com/tiangolo/fastapi/issues/5759
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AI-Powered Image Search with CLIP, pgvector, and Fast API
Fast API.
What are some alternatives?
RedBaron - Bottom-up approach to refactoring in python
AIOHTTP - Asynchronous HTTP client/server framework for asyncio and Python
Bowler - Safe code refactoring for modern Python.
HS-Sanic - Async Python 3.6+ web server/framework | Build fast. Run fast. [Moved to: https://github.com/sanic-org/sanic]
black - The uncompromising Python code formatter
Tornado - Tornado is a Python web framework and asynchronous networking library, originally developed at FriendFeed.
pasta - Library to refactor python code through AST manipulation.
django-ninja - 💨 Fast, Async-ready, Openapi, type hints based framework for building APIs
ufmt - Safe, atomic formatting with black and µsort
Flask - The Python micro framework for building web applications.
instaviz - Instant visualization of Python AST and Code Objects
swagger-ui - Swagger UI is a collection of HTML, JavaScript, and CSS assets that dynamically generate beautiful documentation from a Swagger-compliant API.