flask-tables
fastapi
flask-tables | fastapi | |
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6 | 467 | |
272 | 71,023 | |
- | - | |
1.8 | 9.8 | |
almost 3 years ago | 4 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.
flask-tables
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The Flask Mega-Tutorial
This is really a matter of preference. I do not use Flask-Admin on my projects, I have always preferred to design my own admin pages than being forced to accept the choices that are imposed by these big extensions. This allows me to have a consistent UI across admin and non-admin pages.
One are that people often complain is that it is hard and/or tedious to build tables with data, which is one of the building blocks most admin pages need. Last year I wrote a blog article where I show how I build tables in my Flask apps: https://blog.miguelgrinberg.com/post/beautiful-interactive-t....
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Passing a very large list to html jinga2 frontend
Check https://blog.miguelgrinberg.com/post/beautiful-interactive-tables-for-your-flask-templates and then the Server Side section. That helps you create an API that paginates and searches, so you don't load all data at once, but the relevant/needed data.
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Looking for method to serve an interactive visualization of a table that is searchable as website
jQuery datatables looks perfect. I've found a github repo using it in conjunction with flask. That's the perfect stack for me!
- How to display a table from my database in my Flask app if the table was created by using pd.to_sql on a pandas df
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Best practice for displaying table data, ideally with dynamic formatting?
Looks like you need Datatable. See https://blog.miguelgrinberg.com/post/beautiful-interactive-tables-for-your-flask-templates
- Beautiful Interactive Tables for your Flask Templates
fastapi
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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.
- 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:
What are some alternatives?
HANDSONTABLE - JavaScript data grid with a spreadsheet look & feel. Works with React, Angular, and Vue. Supported by the Handsontable team ⚡
AIOHTTP - Asynchronous HTTP client/server framework for asyncio and Python
APIFairy - A minimalistic API framework built on top of Flask, Marshmallow and friends.
HS-Sanic - Async Python 3.6+ web server/framework | Build fast. Run fast. [Moved to: https://github.com/sanic-org/sanic]
MarkupSafe - Safely add untrusted strings to HTML/XML markup.
Tornado - Tornado is a Python web framework and asynchronous networking library, originally developed at FriendFeed.
dash - Data Apps & Dashboards for Python. No JavaScript Required.
django-ninja - 💨 Fast, Async-ready, Openapi, type hints based framework for building APIs
Jinja2 - A very fast and expressive template engine.
Flask - The Python micro framework for building web applications.
FrameworkBenchmarks - Source for the TechEmpower Framework Benchmarks project
swagger-ui - Swagger UI is a collection of HTML, JavaScript, and CSS assets that dynamically generate beautiful documentation from a Swagger-compliant API.