Dev tools · September 28, 2022
Orchest 2.0
Build data pipelines, the easy way
Orchest 2.0 launched on September 28, 2022 with 128 votes, #268 of 3,464 launches that month and more than 90% of that year's launches. The site was not reachable when checked in September 2026.
What it does
Orchest lets you code, run and monitor data pipelines all from your browser. It's an Airflow alternative that's easier to use. Instead of wasting time configuring cloud infrastructure, simply hit the schedule button in Orchest and get to production 10X faster.
Does a similar job
all alternatives →- ODOrchest – Data Science Pipelines2020 · ▲64
Hello Hacker News! We are Rick & Yannick from Orchest (https://www.orchest.io - https://github.com/orchest/orchest). We're building a visual pipeline tool for data scientists. The tool can be considered to be high-code because you write your own Python/R notebooks and scripts, but we manage the underlying infrastructure to make it 'just work™'. You can think of it as a simplified version of Kubeflow. We created Orchest to free data scientists from the tedious engineering related tasks of their job. Similar to how companies like Netflix, Uber and Booking.com…
I built an open-source data pipeline tool in Go2024 · github.com · ▲200Every data pipeline job I had to tackle required quite a few components to set up: - One tool to ingest data - Another one to transform it - If you wanted to run Python, set up an orchestrator - If you need to check the data, a data quality tool Let alone this being hard to set up and taking time, it is also pretty high-maintenance. I had to do a lot of infra work, and while this being billable hours for me I didn’t enjoy the work at all. For some parts of it, there were nice solutions like dbt, but in the end for an end-to-end workflow, it didn’t work. That’s why I decided to build an…
Early-stage Yahoo Pipes spiritual successor2017 · pipes.digital · ▲280Get and manipulate data with a visual programming interface.
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