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SeisPlotPy-QGIS is a modern acoustic subsurface data viewer and interpretation tool integrated directly into QGIS. It loads SEG-Y data using segyio, displays seismic profiles with pyqtgraph, links navigation to the QGIS map canvas, and provides tools for horizon picking, attribute computation, and export for publication.

active 2025-11-302026-07-03 (UTC)

Complete coverage26,787 / 26,787 hourly files (100%) · 2 absent upstream2023-08-152026-09-04 (UTC)
Events
59
Pushes
49
Pull requests
0
Issues
0
Stars
4
Forks
0

Activity over time

Daily event counts in the loaded window

Line chart, 216 days from 2025-11-30 to 2026-07-03. Pushes: 49 total, peak 15 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 0 total, peak 0 in a day. Comments: 3 total, peak 2 in a day. Stars: 4 total, peak 1 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
arjun-vh504901
nilrodes1001
czlowiekPawel1001

Recent activity

Latest issues, pull requests and releases

  • Issue comment#2arjun-vh2026-03-03 11:39
    Bugs or my lack of knowledge
  • Issue comment#2czlowiekPawel2026-03-03 10:07
    Bugs or my lack of knowledge
  • Issue comment#1nilrodes2026-03-01 09:05
    Horizontal Flattening of a SEG-Y file not working
  • Releasearjun-vh2025-12-17 07:01
    SeisPlotPy QGIS Plugin v0.9.5
  • Releasearjun-vh2025-11-30 17:51
    SeisPlotPy QGIS Plugin v0.9.0

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 4 stars here means stars gained during the window, not the repo's star count.