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Awesome Easy-to-Use Deep Time Series Modeling based on PaddlePaddle, including comprehensive functionality modules like TSDataset, Analysis, Transform, Models, AutoTS, and Ensemble, etc., supporting versatile tasks like time series forecasting, representation learning, and anomaly detection, etc., featured with quick tracking of SOTA deep models.

active 2023-08-16 → 2026-04-17 (UTC)

Complete coverage27,287 / 27,290 hourly files (100%) · 2 absent upstream2023-08-15 → 2026-09-25 (UTC)
Events
817
Pushes
75
Pull requests
94
Issues
181
Stars
169
Forks
31

Activity over time

Daily event counts in the loaded window

Line chart, 976 days from 2023-08-16 to 2026-04-17. Pushes: 75 total, peak 5 in a day. Pull requests: 94 total, peak 7 in a day. Issues: 181 total, peak 34 in a day. Comments: 220 total, peak 17 in a day. Stars: 169 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

Recent activity

Latest issues, pull requests and releases

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 169 stars here means stars gained during the window, not the repo's star count.