pyparsing
fastapi
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pyparsing | fastapi | |
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13 | 466 | |
2,091 | 70,779 | |
2.0% | - | |
8.3 | 9.8 | |
29 days ago | 8 days ago | |
Python | Python | |
MIT License | 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.
pyparsing
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Pyparsing 3.1.0 released
After over a year since the last release of pyparsing, I've bundled up all the bug-fixes and changes, and they are now released as pyparsing 3.1.0. Visit this link for the details.
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Need help developing an interpreter
Look into "parser combinators" for building an interpreter. There's a few ones out there, but PyParsing is one I've seen around that looks pretty nifty.
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About a month ago I posted about PRegEx, an open-source project which I had started that you can use to build RegEx patterns programmatically, which the subreddit seem to like. This prompted me to keep working on it, and one month later, PRegEx v2.0.0 is out!
I havent found a way to specify an exact character match in pyparsing - https://github.com/pyparsing/pyparsing/discussions/443
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Python toolkits
STDOUT: Lark or pyparsing
- TatSu takes grammars in variation of EBNF, outputs memoizing Python PEG parsers
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Parser Combinators in Haskell
Since it is not mentioned in the article: Python users may also want to check out pyparsing [0]. It is slightly different from Parsec/FParsec (for instance, it ignores all whitespace by default), but I think it is a really good project.
[0]: https://github.com/pyparsing/pyparsing/
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Pyparsing 3.0.x - off to a rocky start, but I think 3.0.6 looks fairly solid
Here is the page of all the new changes and features in pyparsing 3.0.
- luna is a Domain specific language that translates to regex. It's an attempt to make regex more readable.
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Recommended way to read and parse a couple thousand small files
Your pyparsing parser might benefit from a tune-up. This page has some performance tips: https://github.com/pyparsing/pyparsing/wiki/Performance-Tips.
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Script for extracting info from a SQL File
If your SQL has fairly complex structure, you will need a full blown SQL parser. If your statements are mostly simple select, you can get pretty close with Pyparsing, here is an example.
fastapi
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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.
- Ask HN: What is your go-to stack for the web?
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Fun with Avatars: Crafting the core engine | Part. 1
We will create our API using FastAPI, a modern high-performance web framework for building fast APIs with Python. It is designed to be easy to use, efficient, and highly scalable. Some key features of FastAPI include:
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Building Fast APIs with FastAPI: A Comprehensive Guide
FastAPI is a modern, fast, web framework for building APIs with Python 3.7+ based on standard Python type hints. It is designed to be easy to use, fast to run, and secure. In this blog post, we’ll explore the key features of FastAPI and walk through the process of creating a simple API using this powerful framework.
What are some alternatives?
parsita - The easiest way to parse text in Python
AIOHTTP - Asynchronous HTTP client/server framework for asyncio and Python
parser - String parser combinators
HS-Sanic - Async Python 3.6+ web server/framework | Build fast. Run fast. [Moved to: https://github.com/sanic-org/sanic]
iregex - A way to write regex with objects instead of strings.
Tornado - Tornado is a Python web framework and asynchronous networking library, originally developed at FriendFeed.
attoparsec - A fast Haskell library for parsing ByteStrings
django-ninja - 💨 Fast, Async-ready, Openapi, type hints based framework for building APIs
sly - Sly Lex Yacc
Flask - The Python micro framework for building web applications.
Lark - Lark is a parsing toolkit for Python, built with a focus on ergonomics, performance and modularity.
swagger-ui - Swagger UI is a collection of HTML, JavaScript, and CSS assets that dynamically generate beautiful documentation from a Swagger-compliant API.