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magali

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software/magali

Modeling and inversion of magnetic microscopy data 🧲🔬

Machine-generated from the listed sources and not yet reviewed by a human.

magali project image
GitHub preview card for fatiando/magali. Served by its origin, not stored here, and not covered by this registry’s licence.
record
Category
Software & Systems
Subcategory
unknown
License
BSD-3-Clause(osi)
Status
active
Maturity
deployed
Organization
fatiando
Country
unknown
Documentation
unknown
Tags
earth-science · fatiando-a-terra · geophysics · magnetic-field · microscopy · paleomagnetism · python · science
Regulatory
unknown
built by · 4

Top contributors by commit count, from the project’s public repository. Avatars are served by their origin, not stored here. To be removed from this list, open an issue.

similar by tags

Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.

  • micromag-euler-dipolegeophysics · microscopy

    Paper: Full vector inversion of magnetic microscopy images using Euler deconvolution as a priori information

  • gdlgeophysics

    GDL - GNU Data Language

  • ai4science-studioearth-science

    How-to guides and AMD/ROCm optimization recipes for open AI-for-science models.

  • A mathematical optimization problem, inspired by an apparent paradox in the physics of optical measurement. Read the micro-publication here:…

  • airpimicroscopy

    AI-assisted rapid phase imaging for 4D-STEM

  • amfindermicroscopy

    The Automatic Mycorrhiza Finder (AMFinder) allows for automatic computer vision-based identification and quantification of AM fungal colonisation and intraradical hyphal structures on ink-stained…

sources
  1. api.github.com/repos/fatiando/magali
    retrieved 2026-08-05 · via github-api

    Machine-imported from GitHub search. Last push 2026-08-05, 11 stars, license reported as BSD-3-Clause. Category and schematic were assigned by keyword heuristics and are unreviewed.

Not yet verified by a human. Correct this record →

machine-readable

/v1/entries/16.json→ .entries["magali"]

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