Orchest – Data Science Pipelines
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…
Orchest – Data Science Pipelines launched on August 12, 2020 with 64 votes, #725 of 3,833 launches that month and more than 90% of that year's launches.
In plain words
Orchest is a visual pipeline tool that lets data scientists write Python and R notebooks and scripts while the platform handles underlying infrastructure management. It automates engineering tasks like cloud configuration and distributed training setup, reducing the need for software engineering expertise. Designed for data scientists who want to focus on analysis rather than infrastructure work, Orchest simplifies pipeline orchestration compared to more complex frameworks.
written from the facts on this page · September 2026
From the sources
In the maker’s words, at launch
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…
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