rocketry-with-fastapi
Example of how to create a scheduler with an API (by Miksus)
fastapi
FastAPI framework, high performance, easy to learn, fast to code, ready for production (by tiangolo)
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rocketry-with-fastapi | fastapi | |
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6 | 471 | |
81 | 71,659 | |
- | - | |
0.0 | 9.8 | |
over 1 year ago | 3 days ago | |
JavaScript | Python | |
MIT License | MIT License |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.
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.
rocketry-with-fastapi
Posts with mentions or reviews of rocketry-with-fastapi.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-12-01.
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Scheduling in Data Engineering
I don't think Rocketry will achieve the same level of adaptation as Airflow and it is missing many advanced features Airflow has such as built-in UI (working on such), executors for containers etc. but considering how versatile it is and how powerful the scheduling is (basically logical statements), I think it could be interesting for those data engineers who need to customize their setup or need something smaller in scale.
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Show HN: Rocketry – Modern scheduler to power your Python projects
If you want an API (or UI), just clone this and modify it as you need: https://github.com/Miksus/rocketry-with-fastapi. I also wrote an article to Medium how it works with FastAPI: https://itnext.io/scheduler-with-an-api-rocketry-fastapi-a0f...
Rocketry plays quite nicely with FastAPI.
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New Horizon in Automation: Rocketry
Rocketry is a modern scheduling framework. It was designed to be easy to use, easy to customize and it has a unique take on scheduling. It does not force you to a specific structure and it can be seamlessly integrated with other frameworks such as FastAPI.
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Scheduling framework (with UI and API)
I also did a template that integrates it with FastAPI and I built a React app on top of the FastAPI: https://github.com/Miksus/rocketry-with-fastapi. You can just clone it and tinker with it as you please. I also wrote a tutorial for integrating the API if you wonder how it was done.
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Scheduler with a REST API and a web UI
The source code is here with instructions to set this up: https://github.com/Miksus/rocketry-with-fastapi. Use it as you wish.
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Scheduler with an API (a working template to get you started)
I made a template scheduler with an API: https://github.com/Miksus/rocketry-with-fastapi so that you can get a working scheduler with an interface in a minute. Rocketry (a scheduler framework) now supports async and it plays well with FastAPI (a web framework).
fastapi
Posts with mentions or reviews of fastapi.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2024-05-05.
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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.