pytorch Developers Analytics
GitHub Activity Summary
The pytorch organization on GitHub has exhibited notable repository activity throughout the year 2025, showcasing diverse commit behavior, pull request dynamics, and contributor patterns. During this period, the organization has recorded a staggering total of approximately 842,974,287 commits, indicating a robust commitment to code development and maintenance. The average number of commits per day stands at around 2, reflecting consistent engagement from contributors.
In terms of pull request (PR) dynamics, the organization has seen an average of 524.5 PRs, with a significant emphasis on collaboration through reviews and conversations. However, the data reveals that many contributors have limited engagement in PR activities, with several developers not initiating any pull requests or reviews. This highlights an area for potential improvement in fostering collaborative development practices.
Contributor patterns indicate that while some developers excel in individual contributions, the collective contributions remain low for many. This disparity suggests a need for enhanced team collaboration to leverage the strengths of individual contributors more effectively. The investment in engineering, reflected through the number of commits and PRs, underscores the organization's commitment to continuous improvement and innovation.
Overall, the pytorch GitHub analytics provide insightful perspectives on developer contribution trends, pull request metrics, and engineering investment analysis, essential for understanding the organization's ongoing development landscape. These insights are invaluable for stakeholders aiming to optimize collaboration and code quality within the community.
Scatter Chart: Developer Contribution Profile
This scatter chart provides a detailed map of the organization's developers, positioning them in four quadrants based on their individual contribution (Y-axis) and collective contribution (X-axis).
Individual Contribution (Y-Axis):
Individual contribution is calculated through an algorithm that considers various factors such as lines added, commit frequency, and those marked by the AI system as new developments or fixes. It encompasses any action representing an individual developer's contribution that benefits the organization overall, even if it doesn't have a direct impact on the rest of the development team in terms of direct professional improvement or easing their work.
Collective Contribution (X-Axis):
Collective contribution is determined through an algorithm that takes into account comments on pull requests, the number of initiated conversations, the count of commits marked as refactors, cicd, among others. It also considers aspects like commit message size and the quantity of lines deleted, along with other reference variables. These variables provide a deeper understanding of whether the developer, beyond their individual actions, contributes to the collective, either by aiding professional growth or facilitating the lives of the rest of the development team with clearer, commented, and scalable code.
Quadrants of the Scatter Chart:
- High Individual and Collective Contribution: Developers in this quadrant excel both individually and collectively, acting as leaders and making a significant impact on the team and the organization.
- High Individual Contribution and Low Collective Contribution: Developers who strongly contribute individually but whose collective contribution may be more limited. They may stand out for their technical excellence.
- Low Individual Contribution and High Collective Contribution: Developers who may not stand out individually but have a significant impact collectively, either by facilitating collaboration or improving code quality.
- Low Individual and Collective Contribution: Developers whose individual and collective contributions may require more attention. They may benefit from increased involvement or professional development.
This map is essential for understanding the overall landscape of profiles in the team and how each one contributes to the organization, providing a valuable tool for resource management and optimization.
Developers' Indicators Table
This table presents a conglomerate of commit and pull request data for each developer. It is primarily useful for obtaining a summary of key indicators for each developer. You can search for a specific developer and click to navigate to the detailed developer page.
| Developer | Total commits | Commits by day | Additions per commit | Deletions per commit | Files changed per commit | Message size per commit | Total PRs | Total reviews | Total conversations | Reviews per PR | Conversations per PR | Comments per conversations | Time to merge |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2 | 0.1 | 22 | 3 | 2 | 524.5 | 2 | 0 | 0 | 0 | 0 | 0 | ||
| 1 | 0 | 93 | 33 | 5 | 12014 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |
| 3 | 0.1 | 121.3 | 220.3 | 2 | 704.7 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |
| 1 | 0 | 231 | 0 | 5 | 826 | 1 | 0 | 0 | 0 | 0 | 0 | ||
| 2 | 0.1 | 228 | 44.5 | 7.5 | 347.5 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |
| 1 | 0 | 27 | 16 | 2 | 5139 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |
| 1 | 0 | 3169 | 152 | 42 | 155 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |
| 4 | 0.1 | 129.5 | 11.2 | 5 | 577 | 1 | 0 | 0 | 1 | 1 | 2 | ||
| 2 | 0.1 | 1 | 1 | 1 | 193.5 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |
| 3 | 0.1 | 0.3 | 9 | 1 | 95.7 | 0 | 4 | 1 | 0 | 0 | 0 | ||
| 3 | 0.1 | 4.3 | 2.7 | 2 | 263.3 | 1 | 15 | 12 | 3 | 0 | 0 | ||
| 2 | 0.1 | 2 | 2 | 1 | 95 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |
| 2 | 0.1 | 11 | 0.5 | 2.5 | 219 | 1 | 0 | 0 | 1 | 0 | 0 | ||
| 1 | 0 | 1618 | 115 | 20 | 209 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |
| 4 | 0.1 | 128.2 | 48.2 | 3.8 | 177.2 | 1 | 0 | 0 | 2 | 0 | 0 | ||
| 9 | 0.3 | 459.9 | 52.6 | 2.8 | 1027.9 | 11 | 0 | 0 | 0 | 0 | 0 | ||
| 2 | 0.1 | 144 | 8 | 3 | 143.5 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |
| 2 | 0.1 | 8.5 | 6 | 1.5 | 609 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |
| 1 | 0 | 12 | 5 | 1 | 608 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |
| 2 | 0.1 | 8.5 | 7.5 | 1.5 | 406.5 | 1 | 0 | 0 | 2 | 0 | 0 |
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