Skip to content

EEGPrep is an automated preprocessing tool for human EEG data built on a benchmarked EEGLAB pipeline

active 2024-12-032026-08-18 (UTC)

Complete coverage26,439 / 26,439 hourly files (100%) · 2 absent upstream2023-08-152026-08-20 (UTC)
Events
646
Pushes
383
Pull requests
33
Issues
37
Stars
6
Forks
4

Activity over time

Daily event counts in the loaded window

Line chart, 624 days from 2024-12-03 to 2026-08-18. Pushes: 383 total, peak 18 in a day. Pull requests: 33 total, peak 3 in a day. Issues: 37 total, peak 10 in a day. Comments: 87 total, peak 10 in a day. Stars: 6 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
suraj-ranganath2131481623
arnodelorme161134610
claude[bot]531140
bruAristimunha483906
chkothe312703
dungscout96161330
github-actions[bot]9900
innaamogolonova6510
lincuan5050
Copilot5212
AmanJaiswal15034400
google-labs-jules[bot]4301
0580iris-lang1001

Recent activity

Latest issues, pull requests and releases

  • Issue comment#302arnodelorme2026-08-18 20:56
    [EEG] pop_erpimage: turbo cmap, aligned ERP plot, scalp inset
  • Issue comment#302claude[bot]2026-08-18 18:19
    [EEG] pop_erpimage: turbo cmap, aligned ERP plot, scalp inset
  • Pull request#282innaamogolonova2026-07-16 03:24
  • Issue comment#272google-labs-jules[bot]2026-07-04 02:44
    ⚡ Bolt: vectorize trial loop in jointprob
  • Issue comment#236claude[bot]2026-06-24 02:24
    ⚡ Bolt: optimize rand_permutation and rand_sample
  • Issue comment#234claude[bot]2026-06-20 07:02
    Keep local notes out of the repo
  • Issue comment#225suraj-ranganath2026-06-12 21:59
    Pin fetchable EEGLAB reference
  • Pull request#225suraj-ranganath2026-06-12 21:52
  • Pull request#217suraj-ranganath2026-06-12 07:33
  • Issue#208suraj-ranganath2026-06-12 06:02
    [Fable 5 Architecture Closeout] Phase 1 — shared contracts, boundary events, and history mutation
  • Issue#208suraj-ranganath2026-06-12 06:02
    [Fable 5 Architecture Closeout] Phase 1 — shared contracts, boundary events, and history mutation
  • Issue#207suraj-ranganath2026-06-12 05:59
    [Epic] Fable 5 architecture closeout — remaining decompositions and behavior consolidations
  • Pull request#203suraj-ranganath2026-06-12 03:14
  • Issue#198suraj-ranganath2026-06-12 01:41
    [Fable 5 Findings] Phase 5 — Standalone packaging, dependencies, docs & dead-code cleanup
  • Issue comment#192claude[bot]2026-06-11 21:27
    GUI issue -- do not create a PR for this
  • Issue comment#177suraj-ranganath2026-06-11 01:33
    [Agents] Replace autoreview skill and fix quality findings
  • Issue#182suraj-ranganath2026-06-11 00:52
    Route low-level processing messages through logging
  • Issue#183suraj-ranganath2026-06-11 00:52
    Strengthen MNE conversion tests for EEG and ICA invariants
  • Issue comment#177suraj-ranganath2026-06-11 00:25
    [Agents] Replace autoreview skill and fix quality findings
  • Pull request#185claude[bot]2026-06-10 23:48
  • Issue#179suraj-ranganath2026-06-10 23:42
    Centralize EEGPrepSession workspace state updates
  • Pull request#176suraj-ranganath2026-06-08 01:21
  • Issue#175suraj-ranganath2026-06-07 23:43
    Epic: Add an agent-friendly EEGPrep CLI
  • Issue#175suraj-ranganath2026-06-07 23:43
    Epic: Add an agent-friendly EEGPrep CLI
  • Pull request#174suraj-ranganath2026-06-07 18:37

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 6 stars here means stars gained during the window, not the repo's star count.