This dataset contains name, owner, and GitHub page for 248 apps published by Developers Italia.
From the GitHub repos, one can extract data to assess the success (in terms # of adoptions) of apps on Developers Italia. For example, the below table shows the 10 apps that have the most adopters:
| applicazioni | owner | adopters_count |
|---|---|---|
| GlobaLeaks | globaleaks | 1402 |
| PiTre | ProvinciaAutonomaTrento | 337 |
| PAT - Portale Amministrazione Trasparente | AgID | 174 |
| SIT Città Metropolitana di Bari | comunedibari | 33 |
| SBNWeb-Open | IstitutoCentraleCatalogoUnicoBiblio | 26 |
| GIT (Gestione Intersettoriale del Territorio) | RegioneUmbria | 18 |
| DocSuite PA | AUSL-ReggioEmilia | 18 |
| SISO/SIGESS (Sistema Informativo Servizi Sociali) | RegioneUmbria | 14 |
| UnlockPA | csipiemonte | 13 |
| Selezioni online | consiglionazionaledellericerche | 13 |
The below table shows the 10 owners (typically public agencies/organiztions) that published the most apps:
| adopter | n |
|---|---|
| Regione Piemonte | 14 |
| Regione Emilia-Romagna | 12 |
| https://www.unical.it | 11 |
| Regione Marche | 11 |
| Università della Calabria - https://www.unical.it | 9 |
| INGV | 8 |
| Città di Torino | 6 |
| Comune di Torino | 5 |
| Comune di Trento | 5 |
| Corpo Nazionale dei Vigili del Fuoco | 5 |
Using the GoogleAPI we can pull geolocation for all adopters and visualize the geographic distribution of adopters. This dataset could be enriched with socio-economic data to study regional differences in adoption rates.
Finally, it’s possible to challenge a major assumption behind open source development: that GitHub apps will be reused. To answer questions such as: To what extent are apps “reused” and enanched by other developers? One may count the total ‘contributors’ to an app, how much they contributed (e.g., how many lines of code they wrote), or copied open-source apps (technically called “forking”) for reuse.