abhijit49
View on GitHub ↗active 2023-08-20 → 2024-11-21 (UTC) · 13 repositories
Complete coverage28,331 / 28,331 hourly files (100%) · 2 absent upstream2023-08-15 → 2026-11-07 (UTC)
Events
70
Pushes
31
Pull requests
2
Issues
2
Reviews
5
Repositories
13
Activity over time
Daily event counts in the loaded window
Line chart, 460 days from 2023-08-20 to 2024-11-21. Pushes: 31 total, peak 11 in a day. Pull requests: 2 total, peak 2 in a day. Issues: 2 total, peak 1 in a day.
- Pushes
- Pull requests
- Issues
Repositories worked on
Ranked by contributions — pushes, PRs, issues, reviews and comments, so stars and forks do not inflate the list
| Repository | Contributions | Pushes | PRs | Issues | Comments | Last seen |
|---|---|---|---|---|---|---|
| abhijit49/LeetCode | 11 | 11 | 0 | 0 | 0 | 2024-03-11 |
| abhijit49/SQL-Data-Exploration-Data-Cleaning | 7 | 5 | 2 | 0 | 0 | 2024-10-01 |
| abhijit49/E-Commerce-Website-CARA- | 7 | 0 | 0 | 2 | 0 | 2024-10-22 |
| abhijit49/Diabetes-Prediction-System | 5 | 5 | 0 | 0 | 0 | 2024-03-09 |
| abhijit49/Sales-Data-Analysis | 5 | 5 | 0 | 0 | 0 | 2024-03-09 |
| abhijit49/Stock-Price-Prediction | 2 | 2 | 0 | 0 | 0 | 2024-03-10 |
| abhijit49/Web-Scraping | 1 | 1 | 0 | 0 | 0 | 2024-03-10 |
| abhijit49/Clean-and-analyze-social-media-usage-data-with-Python | 1 | 1 | 0 | 0 | 0 | 2024-05-06 |
| abhijit49/abhijit49 | 1 | 1 | 0 | 0 | 0 | 2024-02-22 |
| abhijit49/Goodcabs-Performance-Dashboard | 0 | 0 | 0 | 0 | 0 | 2024-11-21 |
| abhijit49/firstrepo | 0 | 0 | 0 | 0 | 0 | 2023-08-20 |
| abhijit49/Scrape-House-of-Dragon-using-Selenium | 0 | 0 | 0 | 0 | 0 | 2023-08-20 |
| LoicChamplong/Data-Analysis-SQL | 0 | 0 | 0 | 0 | 0 | 2024-04-17 |
Works with
People who contribute to the same repositories, ranked by how many they share · automation excluded, or every account would appear to work with everyone
| Contributor | Shared repos | Repositories in common |
|---|---|---|
| Abercrombie13 | 1 | |
| Petrosdevri | 1 | |
| basantasunar | 1 | |
| singhkaran202 | 1 |
Counts cover only the window loaded into ClickHouse and count events, not this account's lifetime totals on GitHub.