cloud-volume
importeddata/cloud-volume
Read and write Neuroglancer datasets programmatically.
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Data & Standards
- Subcategory
- unknown
- License
- BSD-3-Clause(osi)
- Status
- active
- Maturity
- deployed
- Organization
- seung-lab
- Country
- unknown
- Homepage
- twitter.com/thundercloudvol
- Repository
- github.com/seung-lab/cloud-volume
- Documentation
- unknown
- Tags
- big-data · biomedical-image-processing · chunked-image · cloud · connectomics · electron-microscopy · gcs · large-image
- 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.
- sofimabiomedical-image-processing · connectomics · electron-microscopy
Scalable Optical Flow-based Image Montaging and Alignment
- pytorch_connectomicsbiomedical-image-processing · connectomics
PyTorch Connectomics: segmentation toolbox for EM connectomics
- 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…
- micaopenconnectomics
Open Scripts and pipelines from the Multimodal Imaging and Connectome Analysis Lab at the Montreal Neurological Institute
- webknossosconnectomics
Visualize, share and annotate your large 3D images online
- pMoSSbig-data
pMoSS (p-value Model using the Sample Size) is a Python code to model the p-value as an n-dependent function using Monte Carlo cross-validation. Exploits the dependence on the sample size to…
- api.github.com/repos/seung-lab/cloud-volumeretrieved 2026-08-05 · via github-api
Machine-imported from GitHub search. Last push 2026-08-04, 175 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 →
/v1/entries/35.json→ .entries["cloud-volume"]
Entries are sharded 64 ways by a stable hash of the id, so a consumer can find any record without an index.