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| devonproctor | Are there useful nix flake definitions/registries for datasets? I would love an easy way to to create composable, reproducible analyses. I know that tools like DVC exist, but I wonder whether there has been work on nix native approaches (or whether there are obvious reasons why this doesn't make sense)? | 17:33:24 |
| 9 Aug 2025 |
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| seapat | 14:24:53 |
| 12 Aug 2025 |
 tomberek | @devonproctor:matrix.org: i did a bunch of work on this a few years ago, composing data and transformations using derivations, driving it all with Hydra. Using some impurity to allow managing all of it with references to external storage. Worked out great for binary data, imagery, video, etc. | 21:56:14 |
| 13 Aug 2025 |
 jbedo | i routinely process data (mostly bioinformatics pipelines for analysing sequencing data) using bionix, been doing this for years with good success | 00:29:26 |
 Bruno Rodrigues | I've been working on rixpress, an R package to setup reproducible pipelines | 21:05:50 |
| Bruno Rodrigues | https://github.com/b-rodrigues/rixpress | 21:05:53 |
| Bruno Rodrigues | still early dev, even though it's an r package it's possible to define Python and Julia derivations | 21:06:25 |
| Bruno Rodrigues | see for example https://github.com/b-rodrigues/rixpress_demos/blob/master/python_r_typst/gen-pipeline.R | 21:07:17 |
| 14 Aug 2025 |
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| 23 Aug 2025 |
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