This release is a pre-release and may not be stable for production use.
Sciunit
Sciunit is a command-line tool that answers the call for a reusable research object that containerizes and stores applications simply and efficiently, facilitates sharing and collaboration, and eases the task of executing, understanding, and building on shared work. Please refer to Sciunit’s documentation to learn how to install and use it.
For latest research papers and publications, visit here.
Citation
If you find this work useful, please cite our paper:
@INPROCEEDINGS{that2017Sciunit,
author={Ton That, Dai Hai and Fils, Gabriel and Yuan, Zhihao and Malik, Tanu},
booktitle={2017 IEEE 13th International Conference on e-Science (e-Science)},
title={Sciunits: Reusable Research Objects},
year={2017},
pages={374-383},
doi={10.1109/eScience.2017.51}}We acknowledge the support from the National Science Foundation, Bloomberg Foundation, and DePaul University for this project.
Release files for sciunit2 0.4.post163.dev71963249
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| sciunit2-0.4.post163.dev71963249.tar.gz | 1.2 MB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| sciunit2-0.4.post163.dev71963249-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 1.2 MB
Release files / sciunit2-0.4.post163.dev71963249.tar.gz
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Release files / sciunit2-0.4.post163.dev71963249-py3-none-any.whl
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