cookiecutter-flask
Airflow
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cookiecutter-flask | Airflow | |
---|---|---|
12 | 169 | |
4,518 | 34,317 | |
0.6% | 1.8% | |
9.3 | 10.0 | |
7 days ago | 7 days ago | |
Python | Python | |
MIT License | Apache License 2.0 |
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.
cookiecutter-flask
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Are there any working examples I can download?
This can help you
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Flask app boilerplate
May you want to see this
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Are there any GUIs that automatically create a working Flask application?
No GUI but you can use https://github.com/cookiecutter-flask/cookiecutter-flask to generate a skeleton project. I personally don't use it as it's too opinionated for my liking, however, may find you can get up and running quickly.
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Seeking Flask/MySQL Starting Template
you can use any cookiecutter for flask. https://github.com/cookiecutter-flask/cookiecutter-flask have a look
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What are some things to avoid while working with Django?
A quick Google search can reveal so much. As a programmer you should be very capable of finding it yourself (;
- can i find on the internet some kind of website template ready to download the scripts?
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Workflow tips, coding logic in a route
Well look, I would encourage you to, and it's easy to, start from a position of knowing that your code will run on a server. You could use cookiecutter-flask, or you could just find a heroku template for a Flask app - cloning it and deploying it becomes quite simple, and it is helpful (IMO) to know for a fact that everything you're doing is going to work fine on the server, and to grow accustomed to working in a "I'm going to push this feature to the server when it's finished" type of workflow.
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Set up a Flask app by running one command
I take it that you have never heard of cookiecutter or the recipe for starting a flask project?
- SQLAlchemy session in application factory pattern
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Any good example projects that I can use to compare my own flask site?
Cookiecutter flask is a template for large projects, it’s always a great place to start and compare against https://github.com/cookiecutter-flask/cookiecutter-flask
Airflow
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Building in Public: Leveraging Tublian's AI Copilot for My Open Source Contributions
Contributing to Apache Airflow's open-source project immersed me in collaborative coding. Experienced maintainers rigorously reviewed my contributions, providing constructive feedback. This ongoing dialogue refined the codebase and honed my understanding of best practices.
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Navigating Week Two: Insights and Experiences from My Tublian Internship Journey
In week Two, I contributed to the Apache Airflow repository.
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Airflow VS quix-streams - a user suggested alternative
2 projects | 7 Dec 2023
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Best ETL Tools And Why To Choose
Apache Airflow is an open-source platform to programmatically author, schedule, and monitor workflows. The platform features a web-based user interface and a command-line interface for managing and triggering workflows.
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Simplifying Data Transformation in Redshift: An Approach with DBT and Airflow
Airflow is the most widely used and well-known tool for orchestrating data workflows. It allows for efficient pipeline construction, scheduling, and monitoring.
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Share Your favorite python related software!
AIRFLOW This is more of a library in my opinion, but Airflow has become an essential tool for scheduling in my work. All our ML training pipelines are ordered and scheduled with Airflow and it works seamlessly. The dashboard provided is also fantastic!
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Ask HN: What is the correct way to deal with pipelines?
I agree there are many options in this space. Two others to consider:
- 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 showing up in a directory…
- "Você veio protestar para ter acesso ao código fonte da urnas. O que é o código fonte?" "Não sei" 🤡
- Cómo construir tu propia data platform. From zero to hero.
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Is it impossible to contribute to open source as a data engineer?
You can try and contribute some new connectors/operators for workflow managers like Airflow or Airbyte
What are some alternatives?
build-a-saas-app-with-flask - Learn how to build a production ready web app with Flask and Docker.
Kedro - Kedro is a toolbox for production-ready data science. It uses software engineering best practices to help you create data engineering and data science pipelines that are reproducible, maintainable, and modular.
flask-base - A simple Flask boilerplate app with SQLAlchemy, Redis, User Authentication, and more.
dagster - An orchestration platform for the development, production, and observation of data assets.
docker-flask-example - A production ready example Flask app that's using Docker and Docker Compose.
n8n - Free and source-available fair-code licensed workflow automation tool. Easily automate tasks across different services.
awesome-flask - A curated list of awesome things related to Flask
luigi - Luigi is a Python module that helps you build complex pipelines of batch jobs. It handles dependency resolution, workflow management, visualization etc. It also comes with Hadoop support built in.
adroa - Set up a Flask app by running one command.
Apache Spark - Apache Spark - A unified analytics engine for large-scale data processing
flask_injector - Adds Injector support to Flask.
Dask - Parallel computing with task scheduling