DSO: data science operations
DSO is a command line helper for building reproducible data anlaysis projects with ease by connecting our favorite tools: It builds on top of git and dvc for code and data versioning and provides project templates, dependency management via uv, linting checks, hierarchical overlay of configuration files and integrates with quarto and jupyter notebooks.
At Boehringer Ingelheim, we introduced DSO to meet the high quality standards required for biomarker analysis in clinical trials. DSO is under active development and we value community feedback.
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Getting started
Please refer to the documentation, in particular the getting started section.
Installation
See installation.
Contact
Please use the issue tracker.
Release notes
See the changelog.
License
This program is free software: you can redistribute it and/or modify it under the terms of the GNU Lesser General Public License (LGPL) as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version.
This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details.
Additionally, the templates files used internally by dso init and dso create are distributed under the Creative Commons Zero v1.0
Universal license. See also the separate LICENSE file in the templates directory.
Credits
dso was initially developed by
DSO depends on many great open source projects, most notably dvc, hiyapyco and jinja2.
Release files for dso-core 1.1.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| dso_core-1.1.0.tar.gz | 2.2 MB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| dso_core-1.1.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 2.7 MB
Release files / dso_core-1.1.0.tar.gz
| Download URL | dso_core-1.1.0.tar.gz |
|---|---|
| Size | 2.2 MB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.1.0 CPython/3.13.12
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Provenance
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Signed by GitHub Actions, verified by PyPI on Jun 15, 2026.
Transparency logRelease files / dso_core-1.1.0-py3-none-any.whl
| Download URL | dso_core-1.1.0-py3-none-any.whl |
|---|---|
| Size | 436.0 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.1.0 CPython/3.13.12
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Jun 15, 2026.
Transparency log
