Lost in Zero Space -- An Empirical Comparison of 0.y.z Releases in Four Software Package Distributions
<pre>The notebooks in "notebooks/" require the dependencies specified in "requirements.txt" to be installed. They rely on data files in "data/". These data can be obtained by running the "convert.py" scripts in that folder. The script requires data files from "data-raw/". These files can be generated by running "extract.py" in that folder. This script requires the libraries.io data dump, as explained in the README file contained in this folder. If you don't have these data, or if you don't want to download them, you can ask for the required data/*.csv.gz files by email.</pre>
ShareScore
32/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 4
- Harmonization
- 4
- Access
- 16
- Reuse readiness
- 8
- Engagement
- 0