Reverse Dependencies of mahotas

The following projects have a declared dependency on mahotas:

• aicsfeature — Scripts for image features calculation.
• celldetective — description
• cellmean — no summary
• cellprofiler-library-nightly — cellprofiler-library implements CellProfiler's image processing and mathematical code, and is usable as a standalone library
• celltk — live-cell image analysis
• celltraj — Toolset for single-cell trajectory modeling.
• celltraj-copperma — Toolset for single-cell trajectory modeling.
• colicoords — Create a coordinate system in rod-shaped cells.
• collageradiomics — Python implementation of COLLAGE texture features from BRIC & INVENTLAB.
• collageradiomics-core — CoLliage Implementation
• cp-measure — cp-measure implements CellProfiler Measurements. You can integrate them to your workflow or use them from CellProfiler 5 once they are integrated there.
• dacq2py — Analysis of electrophysiological data recorded with the Axona recording system
• dcnum — numerics toolbox for imaging deformability cytometry
• dffml-operations-image — DFFML operations image
• dsbundle — Streamline your data science setup with dsbundle in one effortless install.
• medviz — Medical Image Visualization Tool 🐍🚀🎉🦕
• napari-mahotas-image-processing — Image processing based using the Mahotas library in napari
• ncolor — label matrix coloring algorithm
• odmammogram — Outlier Detection for Mammograms (ODM) is a Python package for medical image analysis...
• omdenalore — AI for Good library
• omnipose — cell segmentation algorithm improving on the Cellpose framework
• omnipose-acdc — cell segmentation algorithm improving on the Cellpose framework
• PartSeg — PartSeg is python GUI and set of napari plugins for bio imaging analysis especially nucleus analysis,
• pe-parser — PE parser implementation
• phenotastic — 3D plant phenotyping.
• pycontour — pycontour: A Python Toolkit for 2D Contour Processing
• pycostanza — Python version of Costanza
• pyFCST — python library developed for use with OpenFCST
• pypixelai — Image processing made easy
• segutils — Common utilities for image processing, segmentation, and detection
• spacr — Spatial phenotype analysis of crisp screens (SpaCr)
• xarrayaita — Python librairy to process AITA data