Pytorch GitHub Pull Requests Dashboard| GitLights
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pytorch GitHub Pull Requests Analytics

GitHub Activity Summary

In June 2025, the PyTorch GitHub organization demonstrated significant repository activity, reflecting robust engagement and collaboration among contributors. The organization recorded a total of 337 pull requests (PRs) in the main repository, with an impressive 369 reviews and 190 conversations, indicating a vibrant discussion environment. The average time to merge a PR was approximately 882 hours, highlighting the ongoing efforts to refine contributions before integration.

Pull request dynamics were particularly notable in the PyTorch repository, which accounted for 64% of the total PR activity, followed by torchrec at 34% and torchtitan at 2%. Developer contribution trends revealed varied participation levels, with some contributors, such as albanD, leading with 15 reviews across a single PR, showcasing a commitment to quality assurance.

Overall, the organization saw an average of 0.11 PRs per developer per day, alongside 0.18 reviews and 0.20 comments, which aligns closely with industry standards. The lines of code balance per PR averaged 221.22, suggesting a focused approach to code investment. As a result, PyTorch's GitHub analytics and insights reveal a thriving community dedicated to advancing deep learning technologies through collaborative efforts.

For those interested in pull request metrics and engineering investment analysis, the patterns observed during this period underscore the importance of active engagement in open-source projects.

Evolution of Pull Requests with EMA and RSI

This widget offers a detailed visual representation of the historical evolution of pull requests. The purple bars reflect the absolute values of pull requests 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 pull requests, 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 pull requests. 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 pull request trends over time, making it easier to identify and understand the overarching patterns in the team's contribution. Sudden spikes or declines in EMA may indicate shifts in development momentum.
  • Strength of Development Momentum: The RSI serves as an indicator of the team's development momentum. A consistently high RSI may suggest a sustained high level of pull request activity, while a declining RSI could signify a potential slowdown.
  • Decision Support for Planning: The combination of EMA and RSI aids in decision-making for future development planning. Teams can use this information to anticipate periods of high or low activity, allowing for more effective resource allocation and project 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 Pull Requests with EMA and RSI
020406080100027548110813501/0605/0609/0613/0617/0621/0625/0629/06Pull requestsRSIEMA

Comments, Reviews, and Conversations in Pull Requests

This stacked bar chart provides a visual representation of the temporal evolution of comments, reviews, and conversations in pull requests. Each segment of the bar represents the contribution of each element, allowing an understanding of how the development team's collaboration has evolved over time. It's important to note that a conversation can contain one or more comments, and these elements can exist outside of a conversation, such as at the root of a pull request. This chart provides a comprehensive view of collaboration dynamics within the team. The presented data is part of the subset of filters applied in the header, facilitating precise customization according to analysis criteria.
Comments, Reviews, and Conversations in Pull Requests
05010015020025001/0604/0607/0610/0613/0616/0619/0622/0625/0628/06ReviewsConversationsComments

Pull Requests by Repository

This simple pie chart offers a clear visual representation of the number of pull requests per repository. Each pie segment represents the proportion of pull requests for a specific repository, providing a quick view of the distribution of development activity among different repositories. This data belongs to the subset of filters applied in the header, allowing effective adaptation of the visualization according to specific analysis criteria.
Pull Requests by Repository

pytorch

64%

torchrec

34%

torchtitan

2%

Conversations, Comments, and Reviews in PR's

These indicators present the absolute value of conversations, comments, and reviews in pull requests. They offer a detailed view of the interaction and review associated with pull requests. It's important to highlight that conversations can contain one or more comments, and these elements can exist outside of a conversation, at the root of a pull request, for example. The included data belongs to the subset of filters applied in the header, providing a specific and relevant representation for the ongoing analysis.
Conversations, Comments, and Reviews in PR's
Total reviews

386

Total conversations

208

Total comments

444

Developers' Indicators Table in Pull Requests

This table presents the key indicators related to pull requests grouped by developer. You can use the search function or pagination to 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 PRs: The total number of pull requests created by each developer.
  • Total Reviews: The total number of reviews conducted by each developer on pull requests (regardless of who authored those PRs).
  • Total Conversations: The total number of conversations initiated by each developer across pull requests.
  • Reviews per PR: The average number of reviews received per pull request for each developer.
    This metric only considers reviews received on pull requests that the developer has created.
  • Conversations per PR: The average number of conversations per pull request for each developer.
    This reflects the average number of conversation threads that occur within the pull requests the developer has created.
  • Comments per Conversation: The average number of comments per conversation within the pull requests created by each developer.
  • Time to Merge: The average time it takes to merge a pull request for each developer, expressed in hours.
    This is calculated based on the pull requests authored by the developer.
Developers' Indicators Table in Pull Requests
DeveloperTotal PRsTotal reviewsTotal conversationsReviews per PRConversations per PRComments per conversationsTime to merge
842974287
200000
abhitorch81
100000
Aidyn-A
100112
albanD
11512300
AlekseiNikiforovIBM
100100

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Rows per page:

Repositories' Indicators Table in Pull Requests

This table displays the key indicators related to pull requests 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 PRs: The total number of pull requests created in each repository.
  • Total Reviews: The total number of reviews conducted in each repository.
  • Total Conversations: The total number of conversations associated with pull requests in each repository.
  • Reviews per PR: The average number of reviews per pull request in each repository.
  • Conversations per PR: The average number of conversations per pull request in each repository.
  • Comments per Conversations: The average number of comments per conversation in each repository.
  • Time to Merge: The average time it takes to merge a pull request in each repository, expressed in hours.
Repositories' Indicators Table in Pull Requests
RepoTotal PRsTotal reviewsTotal conversationsReviews per PRConversations per PRComments per conversationsTime to merge
p
pytorch
3373691901.10.61.5882
t
torchrec
178910.101
t
torchtitan
1013271.32.72.1841

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Rows per page:

Comparison of Indicators with Average of Other Organizations in Pull Requests

This component compares the key indicators related to pull requests 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 PRs per Developer per Day: The average number of pull requests created per developer per day compared to the average of other organizations.
  • Average Reviews per Developer per Day: The average number of reviews conducted per developer per day compared to the average of other organizations.
  • Average Comments per Developer per Day: The average number of comments made per developer per day compared to the average of other organizations.
  • Average Time to Merge PR (Hours): The average time it takes to merge a pull request compared to the average of other organizations, expressed in hours.
  • Lines of Code Balance per PR: The net balance of lines of code per pull request compared to the average of other organizations.
  • Files Changed per PR: The average number of files modified per pull request compared to the average of other organizations.
Comparison of Indicators with Average of Other Organizations in Pull Requests
Average PRs per developer per day

0.11

0.08
0.5%
Average reviews per developer per day

0.18

0.08
1.38%
Average comments per developer per day

0.20

0.09
1.33%
Average time to merge PR (hours)

10.78

48.84
-0.77%
Lines of code balance per PR

223.13

988.03
-0.76%
Files changed per PR

4.03

10.47
-0.6%

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