Dkron
Airflow
Dkron | Airflow | |
---|---|---|
3 | 170 | |
4,162 | 34,705 | |
1.5% | 1.7% | |
8.4 | 10.0 | |
16 days ago | 6 days ago | |
Go | Python | |
GNU Lesser General Public License v3.0 only | 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.
Dkron
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How to do distributed cronjobs with worker queues?
Works great. Hope this helps. (For easiness GH here).
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Distributed job scheduling with Go?
I'am also familiar to hangfire, used in the past as distributed job scheduler for Owin microservices in C# too. Btw when we moved towards Golang stack realized that hangfire wasnt really necessary. It was enough standard and idiomatic Go code, learning using Go Routine adding any Cron library and maybe a Redis dependency if persistence is needed. But if you really prefer something hangfire-like, give a try to https://dkron.io/ and its GitHub repo https://github.com/distribworks/dkron , it's pretty similar. They have an open source version but also a pro license, in the same way as hangfire does.
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Easy Distributed Cron Management
Perhaps https://dkron.io/ can solve your problem? Source at https://github.com/distribworks/dkron.
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
What are some alternatives?
Nomad - Nomad is an easy-to-use, flexible, and performant workload orchestrator that can deploy a mix of microservice, batch, containerized, and non-containerized applications. Nomad is easy to operate and scale and has native Consul and Vault integrations.
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.
DHT - BitTorrent DHT Protocol && DHT Spider.
dagster - An orchestration platform for the development, production, and observation of data assets.
torrent - Full-featured BitTorrent client package and utilities
n8n - Free and source-available fair-code licensed workflow automation tool. Easily automate tasks across different services.
rpcx - Best microservices framework in Go, like alibaba Dubbo, but with more features, Scale easily. Try it. Test it. If you feel it's better, use it! 𝐉𝐚𝐯𝐚有𝐝𝐮𝐛𝐛𝐨, 𝐆𝐨𝐥𝐚𝐧𝐠有𝐫𝐩𝐜𝐱! build for cloud!
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.
Quartz - Code for Quartz Scheduler
Apache Spark - Apache Spark - A unified analytics engine for large-scale data processing
micro - A Go service development platform
Dask - Parallel computing with task scheduling