django Developers Analytics
GitHub Activity Summary
The Django GitHub organization exhibits a dynamic and collaborative environment, reflecting notable commit behavior and pull request (PR) dynamics throughout the year 2025. The organization has seen contributions from various developers, with a total of 60 commits and 49 PRs submitted. The average time to merge across all contributors shows significant variation, with some contributors like chriswedgwood achieving an impressive time to merge of just 4 seconds, indicating efficient collaboration and rapid integration of code changes. In contrast, others, such as claudep and Inquisitive-kunal, experienced much longer merge times, suggesting potential bottlenecks in their processes. Contributor patterns reveal that Antoliny0919 stands out with the highest number of commits (15) and PRs (18), demonstrating a strong commitment to the project. In contrast, several contributors, including adamzap and bistasulove, have limited activity, with only one commit and PR each. The presence of the dependabot[bot] indicates an automated contribution model focusing on dependency updates, contributing 8 commits without PRs. Overall, the analysis of this GitHub organization's activity highlights key insights into developer contribution trends and code investment strategies. The ongoing collaboration and varied contributor engagement are essential for sustaining the health and growth of the Django project, making it an exemplary case for GitHub analytics and GitHub insights.
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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 3 | 0.1 | 13.3 | 6.7 | 2.3 | 201.7 | 3 | 0 | 1 | 1 | 0.7 | 2.5 | 66452 | |
| 1 | 0 | 23 | 4 | 2 | 119 | 1 | 0 | 0 | 2 | 0 | 0 | 12556 | |
| 1 | 0 | 11 | 1 | 1 | 212 | 1 | 2 | 1 | 4 | 0 | 0 | 1117 | |
| 15 | 0.6 | 213.9 | 392.5 | 6.3 | 47.1 | 18 | 1 | 9 | 0.1 | 1.1 | 1.9 | 10852 | |
| 1 | 0 | 1 | 1 | 1 | 61 | 1 | 0 | 0 | 1 | 0 | 0 | 37 | |
| 1 | 0 | 56 | 4 | 5 | 631 | 1 | 0 | 0 | 2 | 1 | 1 | 7612 | |
| 3 | 0.1 | 1.3 | 1.3 | 1 | 37 | 2 | 1 | 0 | 1 | 0 | 0 | 1134 | |
| 1 | 0 | 25 | 1 | 4 | 205 | 2 | 4 | 6 | 0.5 | 0.5 | 1 | 368 | |
| 13 | 0.5 | 843.8 | 6.5 | 2.8 | 46.4 | 9 | 0 | 0 | 0 | 0.1 | 2 | 4 | |
| 1 | 0 | 308 | 96 | 8 | 505 | 1 | 1 | 0 | 1 | 7 | 2.3 | 429451 | |
| 5 | 0.2 | 51.8 | 4.6 | 4 | 317.6 | 5 | 2 | 2 | 1.2 | 4 | 2.1 | 23011 | |
| 8 | 0.3 | 14.8 | 1.6 | 1 | 561.6 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |
| 3 | 0.1 | 36 | 23 | 2.7 | 93.3 | 3 | 1 | 1 | 1 | 0.3 | 3 | 3762 | |
| 3 | 0.1 | 87 | 0.3 | 2 | 935 | 2 | 0 | 0 | 0 | 14 | 1.1 | 30261 | |
| 1 | 0 | 34 | 6 | 3 | 212 | 1 | 0 | 0 | 1 | 1 | 8 | 2298 | |
| 1 | 0 | 11 | 7 | 3 | 198 | 1 | 0 | 0 | 0 | 1 | 2 | 511737 | |
| 8 | 0.3 | 43.9 | 2 | 1.9 | 93.2 | 7 | 1 | 12 | 1.1 | 1.1 | 2.1 | 33664 | |
| 1 | 0 | 23 | 2 | 1 | 87 | 1 | 0 | 0 | 1 | 0 | 0 | 8284 | |
| 1 | 0 | 12 | 10 | 1 | 57 | 1 | 0 | 0 | 1 | 0 | 0 | 15861 | |
| 1 | 0 | 0 | 131 | 2 | 88 | 0 | 2 | 1 | 0 | 0 | 0 |
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