Openai GitHub Commits Dashboard | GitLights
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openai GitHub Commits Analytics

GitHub Activity Summary

Between June 1 and June 30, 2025, the OpenAI GitHub organization demonstrated significant repository activity, showcasing a robust commitment to open-source development. The organization recorded a total of 326,206 lines added and 98,844 lines deleted, resulting in a net balance of 227,029 lines of code, indicating a strong code investment during this period.

The commit behavior was predominantly driven by several key repositories, with openai-agents-js leading at 32% of total commits, followed by openai-node at 20%, and openai-java at 18%. This distribution highlights a focused effort on specific projects, reflecting the organization’s strategic priorities.

In terms of pull request metrics, the average commit message size was notably lower at 68.59 compared to the average of other organizations at 155.90. This indicates a potential area for improvement in communication within commit logs. The ratio of added to deleted lines of code stood at 1.72, suggesting a balanced approach to code refinement and feature implementation.

Contributor patterns revealed varied engagement levels, with some developers, such as c codex, contributing 42 commits at an average of 1.4 per day. This contrasts with other contributors who had significantly fewer commits, indicating a disparity in involvement among team members. The overall commits per developer per day averaged at 0.22, slightly above the average of 0.18 for similar organizations.

These insights into the OpenAI GitHub organization’s activity underscore the dynamics of their development efforts, providing valuable GitHub analytics and GitHub insights that can inform future strategies and enhance collaborative performance.

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
01632486478025507510012501/0605/0609/0613/0617/0621/0625/0629/06CommitsRSIEMA

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)
0353147062810594214125617656801/0605/0609/0613/0617/0621/0625/0629/06AdditionsDeletionsBalance

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

openai-agents-js

32%

openai-node

20%

openai-java

18%

codex

15%

openai-agents-python

15%

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

312.354

Lines deleted

94.647

Lines balance

217.389

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
aanaseer
101841351
Abbas-Asad
10211962
achandmsft
10186129964
agarcher
1030155
AielloChan
40.18.51.52123.2

1 to 5 of 95

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
bh
build-hours
20.17003.5130.540
c
chz
1044363184
c
codex
421.4127.128.14.8723.6
empf
emergent-misalignment-persona-features
20.121050.57023.5
mb
mle-bench
10132654

1 to 5 of 23

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

154.80

68.59
0%
ratio added/deleted lines of code

3.17

1.72
0.91%
Commits per developer per day

0.18

0.22
-0.14%
files changed per commit

10.39

8.32
0.29%
lines added per developer

636.41

494.02
0.34%
lines deleted per developer

193.29

287.66
-0.3%

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