materialize-tutorials
fastapi
materialize-tutorials | fastapi | |
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10 | 467 | |
82 | 71,023 | |
- | - | |
4.5 | 9.8 | |
9 months ago | 5 days ago | |
Python | Python | |
- | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
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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.
materialize-tutorials
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Building a live chart with Deno, WebSockets, Chart.js and Materialize
You can find the code in the backend directory.
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Serverless Node.js URL Shortener App powered by Upstash Kafka and Materialize
Materialize Docs
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How to manage your Materialize migrations with Laravel Zero?
To learn more about Materialize, check out the official Materialize documentation.
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How to use server-sent events (SSE) with FastAPI?
For the demo project, we are using the [TAIL](https://materialize.com/docs/sql/tail/#conceptual-framework) statement. TAIL streams updates from a source, table, or view as they occur which allows you to query the data as it is being updated and is a perfect fit for the SSE example.
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How to use FastAPI with Materialize for real-time data processing
git clone https://github.com/bobbyiliev/materialize-tutorials.git
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Decoupled Microservices Architecture with Materialize
How to join MySQL and Postgres in a live materialized view
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How to connect Laravel to Materialize and build a live dashboard?
Laravel and Materialize demo project
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How to create a simple event streaming in Laravel?
Laravel EventStream: Real-time stock trades dashboard with Laravel and Materialize
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How to use dbt with Materialize and Redpanda
You can find the files for this demo in this GitHub repository here.
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How to build AdonisJS API to store your Raspberry Pi Temperature
AdonisJS API - Raspberry Pi Temperature
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?
materialize - The data warehouse for operational workloads.
AIOHTTP - Asynchronous HTTP client/server framework for asyncio and Python
mzschema - Laravel Zero app to help you manage your Materialize migrations
HS-Sanic - Async Python 3.6+ web server/framework | Build fast. Run fast. [Moved to: https://github.com/sanic-org/sanic]
Trino - Official repository of Trino, the distributed SQL query engine for big data, formerly known as PrestoSQL (https://trino.io)
Tornado - Tornado is a Python web framework and asynchronous networking library, originally developed at FriendFeed.
CodexDB - CodexDB generates code for SQL query processing via OpenAI's GPT-3 Codex model.
django-ninja - 💨 Fast, Async-ready, Openapi, type hints based framework for building APIs
cf-url-shortener - URL Shortener Cloudflare function that uses Upstash Redis and Kafka along with https://materialize.com
Flask - The Python micro framework for building web applications.
redpanda - Redpanda is a streaming data platform for developers. Kafka API compatible. 10x faster. No ZooKeeper. No JVM!
swagger-ui - Swagger UI is a collection of HTML, JavaScript, and CSS assets that dynamically generate beautiful documentation from a Swagger-compliant API.