EcommerceTools is a Python data science toolkit for ecommerce, marketing science, and technical SEO analysis and modelling and was created by Matt Clarke.
active 2023-08-15 → 2025-11-14 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 823 days from 2023-08-15 to 2025-11-14. Pushes: 0 total, peak 0 in a day. Pull requests: 5 total, peak 3 in a day. Issues: 2 total, peak 1 in a day. Comments: 3 total, peak 1 in a day. Stars: 88 total, peak 3 in a day.
- Pushes
- Pull requests
- Issues
- Comments
- Stars
Stars, PRs, issues and forks are under-captured in the later part of this window. GH Archive progressively stopped capturing non-push events during 2026 — −95% or worse by the end of the window. Every series here except Pushes fades for that reason, so a decline above reflects the archive, not this repository. Pushes stay reliable throughout, so read them, and the contributor counts derived from them, as the real signal. Data health has the measurements.
Top contributors
Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity
| Contributor | Contributions | Pushes | PRs | Comments |
|---|---|---|---|---|
| M3sca | 3 | 0 | 3 | 0 |
| popcsev | 2 | 0 | 1 | 1 |
| cypris75 | 1 | 0 | 0 | 1 |
| a4kiv3 | 1 | 0 | 0 | 0 |
| BeDeliberate | 1 | 0 | 0 | 1 |
| romariosm | 1 | 0 | 0 | 0 |
| rajivsingha | 1 | 0 | 1 | 0 |
Recent activity
Latest issues, pull requests and releases
- Issue comment#43popcsev2025-11-14 05:52Claude/repo review 014w2 ei j6 tfqs cy wf lrx cq aa
- Pull request#43popcsev2025-11-14 05:51
- Issue#42a4kiv32024-07-11 08:07Unable to install ecommercetools
- Issue comment#36BeDeliberate2024-06-05 08:23Notice of archival
- Issue comment#38cypris752024-04-14 21:43Scikit dependency deprecated in pip
- Pull request#41rajivsingha2024-01-29 09:34
- Pull request#40M3sca2023-11-17 15:12
- Pull request#39M3sca2023-11-17 15:09
- Pull request#39M3sca2023-11-17 15:04
- Issue#38romariosm2023-08-15 22:04Scikit dependency deprecated in pip
Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 88 stars here means stars gained during the window, not the repo's star count.