Downloads provided by UsageCounts
Technical Leverage Analysis in the Python Ecosystem This dataset is the original dataset used in the publication [1]. It includes 21205 distinct package versions from the top 600 Python packages. An online demo for computing the proposed metrics for real-world software libraries is also available under the following URL: https://techleverage.eu/. This work has been partially funded by the EU under the H2020 Program AssureMOSS (Grant n. 952647). [1] DOI: 10.1007/s10664-023-10355-2
{"references": ["Paramitha & Massacci, 2023. Technical leverage analysis in the Python ecosystem."]}
Software libraries, Dependencies, Vulnerabilities, Security, Empirical analysis, Technical leverage, Python ecosystem
Software libraries, Dependencies, Vulnerabilities, Security, Empirical analysis, Technical leverage, Python ecosystem
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
| views | 13 | |
| downloads | 13 |

Views provided by UsageCounts
Downloads provided by UsageCounts