MorphoKit
A drag-and-drop morphometric analysis workbench for biologists and paleontologists — upload specimen images, get landmarks, PCA plots, and phylogenetically corrected stats in minutes.
biology and paleontology graduate students and PIs running small morphometric studies
- semi-automated landmark and semilandmark placement on specimen photos
- PCA, RMA regression, and phylogenetic independent contrasts as one-click pipelines
- publication-ready morphospace plots with proper axis labeling
- shared landmark templates for common taxa (skulls, shells, teeth, leaf margins)
Current morphometric workflows require cobbling together Mathematica, PAST, and custom R scripts; the source page itself lists these gaps as a problem.
The cited HN post had only 10 points and 0 comments, indicating weak tech-community interest; the field is established (30+ years of geometric morphometrics per Wiley review) but the end-user audience of grad students/PIs in bio/paleo is small and not web-native.Thirty years of geometric morphometrics: Achievements, challenges, and future prospects ↗Hacker News homepage ↗
The space is saturated with free, mature academic tools: PAST, MorphoJ, tpsDIG2/tpsRelw, IMP, SlicerMorph, geomorph/Morpho R packages, Morphomatics Python lib, and even turnkey shiny apps — a drag-and-drop UI offers only marginal differentiation.Morphometrics/Statistics/Programming resources list ↗Systematic review of FOSS used in morphometrics ↗
PAST and MorphoJ are free, R/Python morphometrics packages are open-source, and the culture in this field strongly defaults to free academic software; grad students and PIs are unlikely to pay for a re-skinned GUI when comprehensive free alternatives exist.PAST - Palaeontologia Electronica (free) ↗PAST - Natural History Museum Oslo (free) ↗
Morphometric methods have been stable for 30+ years; the analysis need is durable
Wrapping existing R packages (geomorph, Morpho) or Morphomatics in a GUI is feasible, but automated landmark detection from images remains a hard computer-vision problem; MVP without auto-landmarking offers little over current shiny/R Shiny tools.Morphomatics Python library ↗GMAsymmetryTools R toolkit ↗