metagration
fastapi
metagration | fastapi | |
---|---|---|
4 | 467 | |
100 | 71,023 | |
- | - | |
0.0 | 9.8 | |
about 2 years ago | 4 days ago | |
PLpgSQL | 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.
metagration
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Realtime: Multiplayer Edition
Realtime uses logical replication, and from your link it looks like it should work with Timescale (although not recommended):
> Using logical replication with TimescaleDB is not recommended, as it requires schema synchronization between the primary and replica nodes and replicating partition root tables, which are not currently supported.
As long as logical replication is supported, this won't be an issue for Realtime because the purpose is to receive data changes (which come in a JSON format) and the end-user doesn't need to persist schema modifications.
> but couldn't get it working
If you send me some error logs, I can take a look or forward to one of the team.
> support Postgres streaming replication
This is the first time I've heard it requested - I don't think it's something we'd do unless there was a good reason and strong demand. If we were to do any work in this direction we'd prefer to try contribute DDL streaming to PostgreSQL's logical streaming. We've been thinking about this for a while (Michel has built metagration - https://github.com/michelp/metagration which has prompted a few ideas for core patches)
- GraphJin – An Instant GraphQL to SQL Compiler
- Show HN: Metagration – Migrate Postgres with Postgres
- Metagration: PostgreSQL Migrator in PostgreSQL
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?
thin-backend - 🔥 Thin Backend is a Blazing Fast, Universal Web App Backend for Making Realtime Single Page Apps
AIOHTTP - Asynchronous HTTP client/server framework for asyncio and Python
pg_partman - Partition management extension for PostgreSQL
HS-Sanic - Async Python 3.6+ web server/framework | Build fast. Run fast. [Moved to: https://github.com/sanic-org/sanic]
assert-combinators - Functional assertion combinators.
Tornado - Tornado is a Python web framework and asynchronous networking library, originally developed at FriendFeed.
pg_graphql - GraphQL support for PostgreSQL
django-ninja - 💨 Fast, Async-ready, Openapi, type hints based framework for building APIs
postgrest - REST API for any Postgres database
Flask - The Python micro framework for building web applications.
thin-backend-todo-app
swagger-ui - Swagger UI is a collection of HTML, JavaScript, and CSS assets that dynamically generate beautiful documentation from a Swagger-compliant API.