FastAPI
Django
Flask
Laravel
ExpressJS
Ruby on Rails
Yii Framework
Bottle
Luigi
Apache Airflow
Metaflow
Azkaban
Activeeon
Jenkins
mypy
Mesosphere DCOS
FastAPI LuigiBased on our record, FastAPI seems to be a lot more popular than Luigi. While we know about 235 links to FastAPI, we've tracked only 9 mentions of Luigi. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
He is probably most well know for creating FastAPI that I taught to some of my clients and Typer that I've never used. - Source: dev.to / 9 days ago
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. - Source: dev.to / 11 days ago
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. - Source: dev.to / 18 days ago
For pure APIs: pyapi-server [0]. For classic Web sites: Starlette [1], with SQLAlchemy Core [2] for database integration. Or, if you prefer something with more batteries included, FastAPI [3]. [0] https://pyapi-server.readthedocs.io [1] https://www.starlette.io/ [2] https://docs.sqlalchemy.org/en/20/ [3] https://fastapi.tiangolo.com/. - Source: Hacker News / 3 months ago
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:. - Source: dev.to / 4 months ago
I agree there are many options in this space. Two others to consider: - https://airflow.apache.org/ - https://github.com/spotify/luigi There are also many Kubernetes based options out there. For the specific use case you specified, you might even consider a plain old Makefile and incrond if you expect these all to run on a single host and be triggered by a new file... - Source: Hacker News / 8 months ago
Maybe if your use case is “smallish” and doesn’t require the whole studio suite you could check out apscheduler for doing python “tasks” on a schedule and luigi to build pipelines. Source: almost 2 years ago
What are you trying to do? Distributed scheduler with a single instance? No database? Are you sure you don't just mean "a scheduler" ala Luigi? https://github.com/spotify/luigi. - Source: Hacker News / almost 2 years ago
It's good to know what Airflow is not the only one on the market. There are Dagster and Spotify Luigi and others. But they have different pros and cons, be sure that you did a good investigation on the market to choose the best suitable tool for your tasks. - Source: dev.to / over 2 years ago
MLOps is a HUGE area to explore, and not surprisingly, there are many startups showing up in this space. If you want to get it on the latest trends, then I would look at workflow orchestration frameworks such as Metaflow (started off at Netflix, is now spinning off into its own enterprise business, https://metaflow.org/), Kubeflow (used at Google, https://www.kubeflow.org/), Airflow (used at Airbnb,... Source: about 2 years ago
Django - The Web framework for perfectionists with deadlines
Apache Airflow - Airflow is a platform to programmaticaly author, schedule and monitor data pipelines.
Flask - a microframework for Python based on Werkzeug, Jinja 2 and good intentions.
Metaflow - Framework for real-life data science; build, improve, and operate end-to-end workflows.
Laravel - A PHP Framework For Web Artisans
Azkaban - Azkaban is a batch workflow job scheduler created at LinkedIn to run Hadoop jobs.
