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Javihaus/Digital-Twin-in-python

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In this repo we will show how to build a simple but useful Digital Twin using python. Our asset will be a Li-ion battery. This Digital Twin will allow us to model and predict batteries behavior and can be included in any virtual asset management process.

active 2023-08-212026-06-20 (UTC)

Complete coverage26,480 / 26,480 hourly files (100%) · 2 absent upstream2023-08-152026-08-22 (UTC)
Events
91
Pushes
20
Pull requests
0
Issues
2
Stars
53
Forks
12

Activity over time

Daily event counts in the loaded window

Line chart, 1035 days from 2023-08-21 to 2026-06-20. Pushes: 20 total, peak 10 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 2 total, peak 1 in a day. Comments: 4 total, peak 2 in a day. Stars: 53 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

ContributorContributionsPushesPRsComments
Javihaus222001
Jessica-Chen853002
ecubed1081001

Recent activity

Latest issues, pull requests and releases

  • Issue#3Javihaus2025-01-18 07:20
    Imported sources
  • Issue comment#3Jessica-Chen852024-11-08 01:12
    Imported sources
  • Issue comment#3Jessica-Chen852024-11-06 22:00
    Imported sources
  • Issue comment#3Javihaus2024-11-06 09:37
    Imported sources
  • Issue#3Jessica-Chen852024-11-05 21:43
    Imported sources
  • Issue comment#1ecubed1082023-11-07 19:39
    Error in line: C_twin_e = X_in_e + model.predict(X_in_e).reshape(-1)

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 53 stars here means stars gained during the window, not the repo's star count.