Airflow
n8n
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| Airflow | n8n | |
|---|---|---|
| 169 | 296 | |
| 34,485 | 40,669 | |
| 2.3% | 4.0% | |
| 10.0 | 10.0 | |
| 1 day ago | 1 day ago | |
| Python | TypeScript | |
| Apache License 2.0 | Apache 2.0 with Commons Clause |
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.
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://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 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
n8n
- Dify, a visual workflow to build/test LLM applications
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Helm 101: Creating Helm Charts
A startup, "DevOps Solutions" adopts Helm to streamline their Kubernetes deployments. You're a consultant tasked with creating a basic Helm Chart for n8n. It should be customizable for different environments using values.
- IFTTT is killing its pay-what-you-want Legacy Pro plan
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A Year of Self-Hosting: 6 Open-Source Projects That Surprised Me in 2023
n8n.io - a powerful workflow automation tool
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Open Source alternatives to tools you Pay for
N8N - Open Source Alternative to Zapier
- Ask YC: tracking events platform and no-code workflow
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Your privacy is optional
N8N - anything that I would have used Zapier or IFTTT for I now use N8N. It is a bit harder to use but more powerful.
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To whoever uses Supabase as their backend: what's your full no-code / low-code stack?
I'm using Weweb as my front end and Supabase as my back end. I'm also looking into n8n.io to run some of the backend logic that I'm either unsure how to code myself within Supabase or unsure if Supabase can perform those back-end tasks and workflows. Curious what stack or tools other Supabase users are using?
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Show HN: Keep – GitHub Actions for your monitoring tools
This is similar to something I saw before: https://n8n.io
- FLaNK Stack Weekly 28 August 2023
What are some alternatives?
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.
Node RED - Low-code programming for event-driven applications
dagster - An orchestration platform for the development, production, and observation of data assets.
Huginn - Create agents that monitor and act on your behalf. Your agents are standing by!
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.
StackStorm - StackStorm (aka "IFTTT for Ops") is event-driven automation for auto-remediation, incident responses, troubleshooting, deployments, and more for DevOps and SREs. Includes rules engine, workflow, 160 integration packs with 6000+ actions (see https://exchange.stackstorm.org) and ChatOps. Installer at https://docs.stackstorm.com/install/index.html
Apache Spark - Apache Spark - A unified analytics engine for large-scale data processing
budibase - Budibase is an open-source low code platform that helps you build internal tools in minutes 🚀
Dask - Parallel computing with task scheduling
Home Assistant - :house_with_garden: Open source home automation that puts local control and privacy first.
Pandas - Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
robotjs - Node.js Desktop Automation.