webknossos
importedsoftware/webknossos
Visualize, share and annotate your large 3D images online
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Software & Systems
- Subcategory
- unknown
- License
- AGPL-3.0(osi)
- Status
- active
- Maturity
- deployed
- Organization
- scalableminds
- Country
- unknown
- Homepage
- webknossos.org
- Repository
- github.com/scalableminds/webknossos
- Documentation
- unknown
- Tags
- connectomics · em · hacktoberfest · microscopy · microscopy-images · neurobiology · reconstruction
- Regulatory
- unknown
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.
Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.
- EM-toolmicroscopy · microscopy-images
an ImageJ toolset for EM image analysis
- nd2readermicroscopy · microscopy-images
Pure Python library for reading NIS Elements ND2 images and metadata
- pytorch_connectomicsconnectomics · microscopy
PyTorch Connectomics: segmentation toolbox for EM connectomics
- multifocal-stitchingmicroscopy · microscopy-images
Python package for microscope image stitching, robust to image pairs taken at different focal lengths and translations
- ZetaStitchermicroscopy · microscopy-images
ZetaStitcher is a tool designed to stitch large volumetric images such as those produced by Light-Sheet Fluorescence Microscopes.
- ENIGMAconnectomics
The ENIGMA Toolbox is an open-source repository for accessing 100+ ENIGMA statistical maps, visualizing cortical and subcortical surface data, and relating neuroimaging findings to micro- and…
- api.github.com/repos/scalableminds/webknossosretrieved 2026-08-05 · via github-api
Machine-imported from GitHub search. Last push 2026-08-04, 179 stars, license reported as AGPL-3.0. Category and schematic were assigned by keyword heuristics and are unreviewed.
Not yet verified by a human. Correct this record →
/v1/entries/61.json→ .entries["webknossos"]
Entries are sharded 64 ways by a stable hash of the id, so a consumer can find any record without an index.