windmill
luigi
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windmill | luigi | |
---|---|---|
86 | 14 | |
8,463 | 17,292 | |
4.2% | 0.8% | |
10.0 | 6.4 | |
5 days ago | 5 days ago | |
Svelte | Python | |
GNU General Public License v3.0 or later | 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.
windmill
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Show HN: Strada – Cloud IDE for Connecting SaaS APIs
Look very similar to the script builder portion of https://github.com/windmill-labs/windmill, but not open-source, not self-hostable, and without open-source integrations (https://hub.windmill.dev/)
disclaimer: I'm founder of ^
- Ask HN: Is There a Zapier for APIs?
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Postgres as Queue
If you need a job queue on Postgres, https://windmill.dev provide an all-integrated developer platform with a Pg queue at its core that support jobs defined in python/typescript/sql
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A list of SaaS, PaaS and IaaS offerings that have free tiers of interest to devops and infradev
windmill.dev - Windmill is an open-source developer platform to quickly build production-grade multi-step automation and internal apps from minimal Python and Typescript scripts. As a free user, you can create and be a member of at most three non-premium workspaces.
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Airplane acquired by Airtable and is shutting down
For an alternative to airplane.dev, you can checkout Windmill.
https://github.com/windmill-labs/windmill
"Open-source developer infrastructure for internal tools (APIs, background jobs, workflows and UIs). Self-hostable alternative to Airplane, Pipedream, Superblocks and a simplified Temporal with autogenerated UIsm and custom UIs to trigger workflows and scripts as internal apps.
Scripts are turned into sharable UIs automatically, and can be composed together into flows or used into richer apps built with low-code. Supported script languages supported are: Python, TypeScript, Go, Bash, SQL, and GraphQL. "
If you search HN, you'll find the creator of Windmill comment on comparisons to airplane.dev:
https://hn.algolia.com/?dateRange=all&page=0&prefix=false&qu...
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Pipe Dreams: The life and times of Yahoo Pipes
https://windmill.dev is a self-hostable OSS alternative to pipedream
(disclaimer: I'm founder)
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Looking for an e-commerce multivendor platform for 10million+ products
I'm genuinely curious what server-side stuff on BC you are referring to. That may have been something added after our assessment. The way I'd generally approach something like that for any of the platforms would be using an external low/no code solution to process webhook data. But it would depend heavily on the use case. For a more developer friendly option I've been really impressed by windmill.dev. We use a mix of n8n and windmill for various needs.
- Deno Cron
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Show HN: Windmill – fastest open-source workflow engine – the how
Yes it goes in that direction, however note that you can already do this in a not too hard way.
Our openflow spec is both open-source and has a full openapi definition: https://github.com/windmill-labs/windmill/blob/main/openflow...
you can use that to generate client sdks in any languages and build your own dag with it. That's what one of our customer did building a reactflow to openflow library: https://github.com/Devessier/reactflow-to-windmill
It's not as good as the decorator way but we move fast and if you still have interest for it we could prioritize it (and ask for feedbacks :))
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GitHub Actions Are a Problem
We have built an open-source generic workflow engine to run arbitrary scripts (https://windmill.dev) with a vscode extension to build the yaml using a low-code builder and each individual script in their dedicated python/ts files so you get your full editor assistants https://youtu.be/aSOF6AzyDr8?t=116
One of the area we are expanding next is a github app so you get exactly the same UX as github actions but running windmill workflows on your windmill workers.
luigi
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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…
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In the context of Python what is a Bob Job?
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.
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Lessons Learned from Running Apache Airflow at Scale
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
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Apache Airflow. How to make the complex workflow as an easy job
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.
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DevOps Fundamentals for Deep Learning Engineers
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, https://airflow.apache.org/), and Luigi (used at Spotify, https://github.com/spotify/luigi). Then you have the model serving itself, so there is Seldon (https://www.seldon.io/), Torchserve (https://pytorch.org/serve/), and TensorFlow Serving (https://www.tensorflow.org/tfx/guide/serving). You also have the actual export and transfer of DL models, and ONNX is the most popular here (https://onnx.ai/). Spark (https://spark.apache.org/) still holds up nicely after all these years, especially if you are doing batch predictions on massive amount of data. There is also the GitFlow way of doing things and Data Version Control (DVC, https://dvc.org/) is taken a pole position there.
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Data pipelines with Luigi
At Wonderflow we're doing a lot of ML / NLP using Python and recently we are enjoying writing data pipelines using Spotify's Luigi.
- Noobie who is trying to use K8s needs confirmation to know if this is the way or he is overestimating Kubernetes.
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Open Source ETL Project For Startups
💡【About Luigi】 https://github.com/spotify/luigi Luigi was built at Spotify since 2012, it's open source and mainly used for getting data insights by showing recommendations, toplists, A/B test analysis, external reports, internal dashboards, etc.
- Resources/tutorials to help me learn about ETL?
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Using Terraform to make my many side-projects 'pick up and play'
So to sum that up, I went from having nothing for my side-project set up in AWS to having a Kubernetes cluster with the basic metrics and dashboard, a proper IAM-linked ServiceAccount support for a smooth IAM experience in K8s, and Luigi deployed so that I could then run a Luigi workflow using an ad-hoc run of a CronJob. That's quite remarkable to me. All that took hours to figure out and define when I first did it, over six months ago.
What are some alternatives?
automatisch - The open source Zapier alternative. Build workflow automation without spending time and money.
Airflow - Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
plasmic - Visual builder for React. Build apps, websites, and content. Integrate with your codebase.
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.
budibase - Budibase is an open-source low code platform that helps you build internal tools in minutes 🚀
Apache Spark - Apache Spark - A unified analytics engine for large-scale data processing
supabase - The open source Firebase alternative.
mrjob - Run MapReduce jobs on Hadoop or Amazon Web Services
pg_jsonschema - PostgreSQL extension providing JSON Schema validation
Dask - Parallel computing with task scheduling
llvm-project - The LLVM Project is a collection of modular and reusable compiler and toolchain technologies.
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