contex
fastapi
contex | fastapi | |
---|---|---|
7 | 469 | |
664 | 71,023 | |
- | - | |
5.9 | 9.8 | |
about 2 months ago | 8 days ago | |
Elixir | 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.
contex
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Using SVG to create simple sparkline charts
Thanks! And thanks also for your work on ContEx, its Sparkline module [1] was a big inspiration for what I ended up implementing.
[1] https://github.com/mindok/contex/blob/master/lib/chart/spark...
- A flexible charting library for Elixir server side charting
- ContEx is a simple server side charting package for elixir
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Phoenix LiveView, but event-sourced
Now, if you were using a server-side charting library like ContEx, then you would just append the new events to what you've already got assigned to the socket, and your normal rendering function would rebuild the chart. You're done! But I wanted to make it more complicated.
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We Got to LiveView
https://contex-charts.org
> What’s the story in Phoenix and Elixir land for handling external shell processes from web requests
Great story here thru erlang ports. I'm a big fan of the Porcelain library which wraps ports with some nice features on top:
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Server Side Time Series Plots With Elixir Phoenix Using Contex
Step up Contex!
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?
phoenix-full-stack-work-sample
AIOHTTP - Asynchronous HTTP client/server framework for asyncio and Python
glimesh.tv - Glimesh is a next generation live streaming platform built by the community, for the community.
HS-Sanic - Async Python 3.6+ web server/framework | Build fast. Run fast. [Moved to: https://github.com/sanic-org/sanic]
phoenix-liveview-counter-tutorial - 🤯 beginners tutorial building a real time counter in Phoenix 1.7.7 + LiveView 0.19 ⚡️ Learn the fundamentals from first principals so you can make something amazing! 🚀
Tornado - Tornado is a Python web framework and asynchronous networking library, originally developed at FriendFeed.
webtransport - WebTransport is a web API for flexible data transport
django-ninja - 💨 Fast, Async-ready, Openapi, type hints based framework for building APIs
sparks - A typeface for creating sparklines in text without code.
Flask - The Python micro framework for building web applications.
live-paint - Demo pixel painting webapp with realtime updates across all connected tabs and browsers
swagger-ui - Swagger UI is a collection of HTML, JavaScript, and CSS assets that dynamically generate beautiful documentation from a Swagger-compliant API.