https://github.com/scipp/sciline
Build scientific pipelines for your data
https://github.com/scipp/sciline
dask dependency-injection python workflows
Last synced: about 1 month ago
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Build scientific pipelines for your data
- Host: GitHub
- URL: https://github.com/scipp/sciline
- Owner: scipp
- License: bsd-3-clause
- Created: 2023-06-07T10:49:58.000Z (over 2 years ago)
- Default Branch: main
- Last Pushed: 2025-10-31T13:34:05.000Z (4 months ago)
- Last Synced: 2025-10-31T14:36:21.458Z (4 months ago)
- Topics: dask, dependency-injection, python, workflows
- Language: Python
- Homepage: https://scipp.github.io/sciline/
- Size: 3.08 MB
- Stars: 10
- Watchers: 5
- Forks: 2
- Open Issues: 38
-
Metadata Files:
- Readme: README.md
- Contributing: CONTRIBUTING.md
- License: LICENSE
- Code of conduct: CODE_OF_CONDUCT.md
Awesome Lists containing this project
README
[](CODE_OF_CONDUCT.md)
[](https://pypi.python.org/pypi/sciline)
[](https://anaconda.org/conda-forge/sciline)
[](LICENSE)

# Sciline
## About
Build scientific pipelines for your data.
Sciline uses a dependency-injection mechanism to build task graphs that can be executed, e.g., with a Dask scheduler.
See the [documentation](https://scipp.github.io/sciline/) for details.
## Installation
```sh
python -m pip install sciline
```