pytorch GitHub Comments Analytics

Evolution of Comments with EMA and RSI

Sentiment Evolution Over Time

Sentiment Distribution

Negative: 3%

Neutral: 83%

Positive: 13%

Comment Type Evolution Over Time

Comment Type Distribution

General Feedback: 66%

Question: 14%

Bug Report: 9%

Testing Related: 5%

Documentation Request: 3%

Suggestion: 2%

Refactor Suggestion: 1%

Nitpick: 1%

Performance Feedback: 0%

Approval: 0%

Technical Category Distribution

Testing: 47%

Security: 14%

Performance: 11%

Architecture: 8%

Database: 7%

Code Quality: 5%

Backend: 4%

Deployment: 3%

Frontend: 1%

Urgency Distribution

Low: 67%

Medium: 20%

High: 6%

Critical: 7%

Developers' Comments Indicators Table

Developer	Comments	Avg Words	Avg Urgency	Tech Depth	Sentiment	Readability	Constructiveness	Questions	Action Items	Impact Score
ezyang	198	36	1.1	1.19	0.04	6.87	5.01	69	84	2.13
zou3519	124	28	0.66	0.81	0.04	6.92	5.07	63	52	1.93
aorenste	112	28	1	0.81	0.02	7.04	5.14	60	48	2.06
malfet	99	15	0.64	0.7	-0.02	6.22	5.02	55	28	1.91
tianyu-l	92	39	1.21	1.32	0.07	6.37	5.24	69	66	2.35

1 to 5 of 206

Rows per page:

Repositories' Comments Indicators Table

Repository	Comments	Total Words	Avg Urgency	Tech Depth	Sentiment	Readability	Constructiveness	Positive %	High Priority
pytorch	1913	60591	0.95	1.11	0.05	6.49	5.07	78	225
ao	285	8610	0.95	1.33	0.08	5.9	5.19	83.7	30
executorch	252	5965	0.71	0.94	0.06	6.51	5.11	86.1	21
torchtitan	164	6686	1.31	1.36	0.05	6.48	5.15	75.9	30
rl	41	781	0.91	0.81	0.09	7.11	5.12	100	4

1 to 5 of 15

Rows per page:

Our Mission

AI has fundamentally changed software development. Gitlights exists to help engineering leaders navigate this shift. We measure what traditional analytics can't: the real value each developer brings as an individual contributor. Because in a world where anyone can generate code, understanding who drives real impact is the new competitive advantage.

Resources

v2.8.0