Django GitHub Commits Dashboard | GitLights
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django GitHub Commits Analytics

GitHub Activity Summary

The Django GitHub organization exhibited notable activity during June 2025, showcasing a dynamic environment for contributors and developers. The repository with the highest commit activity was the main django repository, accounting for 46% of total commits, followed by birthday20 at 22% and djangoproject.com at 17%. This distribution highlights a concentrated effort on the core project while still fostering contributions across various related repositories.

In terms of overall code changes, the organization saw a net increase of 29,105 lines, with 46,078 lines added and 16,670 lines deleted. This indicates a robust investment in enhancing the codebase, reflecting a positive trend in engineering investment analysis. Commit behavior varied among contributors, with some like adamchainz making 10 total commits, averaging 0.1 commits per day, while others had minimal activity. The average commit message size was significantly higher at 197.9 characters, compared to the organizational average of 149.58 across other organizations.

When analyzing pull request metrics, the organization demonstrated a lower ratio of commits per developer per day at 0.05, contrasting with an average of 0.22 in similar organizations. Additionally, the lines added per developer were notably lower at 122.21 compared to the average of 494.02, suggesting potential areas for improvement in contributor engagement.

These insights into the Django GitHub analytics and contributor patterns reveal a vibrant community focused on continuous improvement, while also indicating opportunities for increased collaboration and code contributions.

Evolution of Commits with EMA and RSI

This widget offers a detailed visual representation of the historical evolution of commits.

The purple bars reflect the absolute values of commits made in specific periods, providing a clear view of the activity.

For a smoother interpretation, the blue bars reveal the Exponential Moving Average (EMA) of commits, emphasizing trends over time.

Additionally, a green line is incorporated to represent the Relative Strength Index (RSI), a key indicator used in various sectors.

In the context of Git development, the RSI offers insight into the team's fitness in terms of the frequency of commits.

Both EMA and RSI act on the last 4 samples, providing a more accurate view of recent trends.

Benefits and Possible Interpretations:
  • Trend Identification: The EMA provides a smoothed representation of commit trends over time, aiding in the identification of overarching patterns in the team's contribution.
  • Strength of Development Momentum: The RSI serves as an indicator of the team's development momentum.
  • Decision Support for Planning: The combination of EMA and RSI aids in decision-making for future development planning.

Overall, this type of chart serves as a powerful tool for project managers, team leads, and developers alike, offering insights that contribute to informed decision-making, improved collaboration, and efficient resource utilization in the Git development environment.

Evolution of Commits with EMA and RSI
051015202527026527810412917/0427/0407/0517/0527/0506/0616/0626/0606/0716/07CommitsRSIEMA

Evolution of Code Lines (Added, Deleted, and Balance)

This stacked bar chart provides a detailed view of the temporal evolution of added and deleted lines of code, as well as the balance between them. Each bar represents the net balance between added and deleted lines in a specific period. This visual approach allows determining whether the development team is in a phase more focused on new developments or on refactoring and maintenance activities. The presented data is part of the subset of filters applied in the header, facilitating the adaptation of the visualization to specific analysis criteria.
Evolution of Code Lines (Added, Deleted, and Balance)
0109112182232733436445455517/0426/0405/0514/0523/0501/0610/0619/0628/0607/0716/07AdditionsDeletionsBalance

Commits by Repository

This simple pie chart offers a clear and concise view of the number of commits per repository. Each pie segment represents the proportion of commits for a specific repository. These data, collected from the subset of filters applied in the header, provide a quick snapshot of the distribution of development activity among different repositories.
Commits by Repository

django

46%

birthday20

22%

djangoproject.com

17%

djangosnippets.org

9%

django-localflavor

6%

Added, Deleted, and Balance Lines

These indicators present the absolute value of added lines, deleted lines, and the net balance between them. The data, extracted from the subset of filters applied in the header, offers a detailed view of development activity. By providing key metrics of code lines, this widget allows a quick and accurate assessment of the impact of changes in the code. Customizing data according to the filters applied in the header ensures a specific and relevant representation for the ongoing analysis.
Added, Deleted, and Balance Lines
Lines added

44.235

Lines deleted

16.003

Lines balance

27.941

Repositories' Indicators Table

This table displays the key indicators linked to commits and is grouped by repository. You can use the search function or pagination to find information about a specific repository. The presented data belongs to the subset of filters applied in the header.

Indicators:
  • Total Commits: The total number of commits made in each repository.
  • Commits by Day: The distribution of commits over days for each repository.
  • Additions per Commit: The average number of lines added per commit in a repository, indicating the magnitude of changes in each contribution.
  • Deletions per Commit: The average number of lines deleted per commit in a repository, highlighting the amount of code eliminated in each change.
  • Files Changed per Commit: The average number of files modified in each commit in a repository, offering information about the complexity of the modifications.
  • Message Size per Commit: The average size of messages associated with each commit in a repository, providing insights into code documentation and communication.
Repositories' Indicators Table
DeveloperTotal commitsCommits by dayAdditions per commitDeletions per commitFiles changed per commitMessage size per commit
adamchainz
100.126.872.3197.9
adamfast
10111125
adamzap
70.112.317.31.9192.1
AfiMaameDufie
106872111
AhmedNassar7
3025.34.32.3118.3

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Rows per page:

Developers' Indicators Table

This table presents the key indicators related to commits grouped by developer. Using the search function or pagination, you can find specific information about a developer. Clicking on any of the indicators redirects to the developer's detailed page. The included data belongs to the subset of filters applied in the header.

Indicators:
  • Total Commits: The total number of commits made by each developer.
  • Commits by Day: The distribution of commits over days, providing a view of each developer's daily activity.
  • Additions per Commit: The average number of lines added per commit, indicating the magnitude of changes in each contribution.
  • Deletions per Commit: The average number of lines deleted per commit, highlighting the amount of code removed in each change.
  • Files Changed per Commit: The average number of files modified in each commit, offering information about the extent of the modifications.
  • Message Size per Commit: The average size of messages associated with each commit, providing insights into the quality and clarity of change descriptions.
Developers' Indicators Table
RepoTotal commitsCommits by dayAdditions per commitDeletions per commitFiles changed per commitMessage size per commit
a
asgiref
90.128.15.91.7185.2
b
birthday20
720.890.721.35.265.2
c
channels
50.13.642.299.8
cdc
code.djangoproject.com
3011141
coc
code-of-conduct
3028.30.32.380.3

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Rows per page:

Comparison of Indicators with the Average of Other Organizations

This component compares the key indicators related to commits with the average of other organizations. It also shows the upward or downward trend and the percentage of variation. This component is useful for obtaining a reference for each metric outside your organization. The indicators are agnostic to both the number of developers and the size over time of the analyzed sample. The presented data belongs to the subset of filters applied in the header.

Indicators:
  • Average Commit Message Size: The average size of commit messages compared to the average of other organizations.
  • Ratio Added/Deleted Lines of Code: The ratio between lines added and lines deleted compared to the average of other organizations.
  • Commits per Developer per Day: The number of commits per developer per day compared to the average of other organizations.
  • Files Changed per Commit: The average number of files modified per commit compared to the average of other organizations.
  • Lines Added per Developer: The number of lines added per developer compared to the average of other organizations.
  • Lines Deleted per Developer: The number of lines deleted per developer compared to the average of other organizations.
Comparison of Indicators with the Average of Other Organizations
Average commit message size

148.68

68.59
0%
ratio added/deleted lines of code

2.60

1.72
0.59%
Commits per developer per day

0.05

0.22
-0.77%
files changed per commit

3.13

8.32
-0.6%
lines added per developer

121.47

494.02
-0.74%
lines deleted per developer

44.46

287.66
-0.84%

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