Pypr: an interface for research data pipelines

[Pypr]

Pypr (pronounced "piper") is an intuitive automation tool designed to reduce the overhead of reasearch software engineering. It allows you to visually create data pipelines by capturing the outputs of each program and passing them to the appropriate inputs of downstream programs. Pypr can automatically process your inputs to ensure they conform to the required specifications. For example, you can seamlessly pass a TSV output to any program that accepts a CSV input, eliminating the need for manual format conversion.



These automations do not compromise your control over the details. With the built-in text editor and terminal, you can perform almost any complementary task. Additionally, once you're happy with your pipeline, you can run it anywhere you prefer, from a virtual PC in the cloud to your on-premise HPC.

It's important to note that the development of Pypr is ongoing, and some features are not finalized. We are planning to launch a fundraising campaign on Kickstarter, requesting a small investment in exchange for great perks, such as the ability to self-host Pypr under your own domain and branding! If Pypr piques your interest, please visit Pypr.net and opt in for notifications.

If you would like to stay in touch via social media, Facebook would be a convenient option:
https://www.facebook.com/PyprNet/

[katyperry]

Interesting project—PyPR looks like a really practical step toward simplifying research data pipelines and making workflows more accessible and reproducible. I’ve been following similar tools lately while also taking breaks with Agar io, which is still a fun way to relax between data tasks.