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PyDriller: Python framework for mining software repositories
Open accessAbstract
Software repositories contain historical and valuable information about the overall development of software systems. Mining software repositories (MSR) is nowadays considered one of the most interesting growing fields within software engineering. MSR focuses on extracting and analyzing data available in software repositories to uncover interesting, useful, and actionable information about the system. Even though MSR plays an important role in software engineering research, few tools have been created and made public to support developers in extracting information from Git repository. In this paper, we present PyDriller, a Python Framework that eases the process of mining Git. We compare our tool against the state-of-the-art Python Framework GitPython, demonstrating that PyDriller can achieve the same results with, on average, 50% less LOC and significantly lower complexity.
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Cited by
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GrimoireLab: A toolset for software development analytics
Dueñas, S., Cosentino, V., Gonzalez-Barahona, J. M., del Castillo San Felix, A., Izquierdo-Cortazar, D., Cañas-Díaz, L., & Pérez García-Plaza, A. (2021) · PeerJ Computer Science · doi:10.7717/peerj-cs.601 · Cited by 33
FalconCode: A Multiyear Dataset of Python Code Samples from an Introductory Computer Science Course
de Freitas, A., Coffman, J., de Freitas, M., Wilson, J., & Weingart, T. (2023) · Proceedings of the 54th ACM Technical Symposium on Computer Science Education V. 1 · doi:10.1145/3545945.3569822 · Cited by 15
Developer Productivity With and Without GitHub Copilot: A Longitudinal Mixed-Methods Case Study
Stray, V., Brandtzæg, E. G., Wivestad, V., Barbala, A., & Moe, N. B. (2026) · Proceedings of the Annual Hawaii International Conference on System Sciences · doi:10.24251/hicss.2026.880 · Cited by 9
“Next, using the Python framework PyDriller (Spadini et al., 2018), each repository was cloned, mined for data locally, and then deleted, storing only commit data for participants who provided their username in the survey.”
Metadata
- Authors
- Spadini, D., Aniche, M., & Bacchelli, A.
- Venue
- Proceedings of the 2018 26th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering
- Publisher
- ACM
- Published
- 2018-10-26
- Pages
- 908-911
- OpenAlex
- W2899407111
- Cited by
- 303
- References
- 0
- FWCI
- 16.34
- Type
- conference paper
- Language
- en
- Open access
- green
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- Spadini, D., Aniche, M., & Bacchelli, A. (2018). PyDriller: Python framework for mining software repositories. Proceedings of the 2018 26th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering. https://doi.org/10.1145/3236024.3264598
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
