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ScalableCytometryImageProcessing/SCIP

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Scalable Cytometry Image Processing (SCIP) is an open-source tool that implements an image processing pipeline on top of Dask, a distributed computing framework written in Python. SCIP performs projection, illumination correction, image segmentation and masking, and feature extraction.

active 2024-01-19 → 2024-05-22 (UTC)

Complete coverage28,006 / 28,006 hourly files (100%) · 2 absent upstream2023-08-15 → 2026-10-24 (UTC)
Events
10
Pushes
5
Pull requests
0
Issues
1
Stars
1
Forks
0

Activity over time

Daily event counts in the loaded window

Line chart, 125 days from 2024-01-19 to 2024-05-22. Pushes: 5 total, peak 4 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 1 total, peak 1 in a day. Comments: 1 total, peak 1 in a day. Stars: 1 total, peak 1 in a day.

  • Pushes
  • Pull requests
  • Issues
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  • Stars

Top contributors

Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity

ContributorContributionsPushesPRsComments
MaximLippeveld6501
tatyana-perlova1000

Recent activity

Latest issues, pull requests and releases

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 1 stars here means stars gained during the window, not the repo's star count.