PlutoSliderServer.jl
fastapi
PlutoSliderServer.jl | fastapi | |
---|---|---|
6 | 471 | |
128 | 71,659 | |
1.6% | - | |
6.0 | 9.8 | |
15 days ago | 3 days ago | |
Julia | Python | |
The Unlicense | 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.
PlutoSliderServer.jl
-
Using Julia with Anaconda and Voilà
The reactivity of Pluto makes creation of interactive web apps much simpler and Pluto sides can be deployed with https://github.com/JuliaPluto/PlutoSliderServer.jl .
- Ask HN: What are the good online tech courses that you are willing to pay?
- What is the best Julia learning course for newbie like me?
-
An Introduction to Pluto
Thanks, I’ll have to check this out, especially as I’m trying to [find time to] learn Elixir.
With the PlutoSliderServer¹, you can have one Julia process serving a large number of independent, interactive Pluto notebooks (so, the opposite of live collaboration, but still may be interesting to you), with interaction limited to HTML input controls. This notebook², made to demonstrate the PlutoUIplutoUI? wrappers over HTMK inputs, is served using the Slider Server.
1 ‘PlutoSliderServer.jl’. Available from: https://github.com/JuliaPluto/PlutoSliderServer.jl
-
is julia good for web dev?
One option would be to deploy a https://plutojl.org/ notebook, either as static html (exported from Pluto itself) which the users could run as a notebook locally or in Binder, or as interactive website with https://github.com/JuliaPluto/PlutoSliderServer.jl .
-
building web apps in Julia
You can also make your webpage in Pluto.jl and deploy it with PlutoSliderServer.
fastapi
-
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.
-
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.
-
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.
-
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.
-
FastAPI Got Me an OpenAPI Spec Really... Fast
That’s when I found FastAPI.
-
How to Deploy a Fast API Application to a Kubernetes Cluster using Podman and Minikube
FastAPI & Uvicorn
-
Analysing FastAPI Middleware Performance
Discussion at FastAPI GitHub: https://github.com/tiangolo/fastapi/issues/2696
-
LangChain, Python, and Heroku
An API application framework (such as FastAPI)
-
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
-
AI-Powered Image Search with CLIP, pgvector, and Fast API
Fast API.