scipipe VS hckrweb

https://scipipe.org - A pipeline tool for shell commands by a declarative flow-based API in Go

Github link: https://github.com/scipipe/scipipe

There are many pipeline tools for shell commands, but a majority has one or more limitations in their API which makes certain complex pipelines impossible or really hard to write.

We were pushing the limits of all the tools we tried, so developed our own, and implemented it in Go, with a declarative API for defining the data flow dependencies, instead of inventing yet another DSL. This has allowed us great flexibility in developing also complex pipelines, e.g. combining parameter sweeps nested with cross-validation implemented as workflow constructs.

SciPipe is also unique in providing an audit report for every single output of the workflow, in a structured JSON format. A helper tool allows converting these reports to either an HTML report, a PDF, or a Bash script that will generate the one accompanying output file from scratch.

An extra cool things is that, because the audit reports live alongside output files, if you run a scipipe workflow that uses files generated by another scipipe workflow, it will pick up also all the history for the input files generated by this earlier workflow, meaning that you get a 100% complete audit report, even if your analysis spans multiple workflows!

I tried sharing a couple of my web apps:

- HN the way I want to read it: https://hw.leftium.com/

- Source code: https://github.com/Leftium/hckrweb

- Weather forecast compared to last two days' weather: https://github.com/Leftium/ultra-weather#readme

HckrWeb is my heavily modified fork of HackerWeb[1] with data from hckr news[2].

I mashed together the simple, readable UI of HackerWeb with the chronological ordering from hckr news.

You can also share links to readable HN comments like this: https://hw.leftium.com/#/item/23741256

Source code available here: https://github.com/Leftium/hckrweb

[1]: https://hackerwebapp.com/