openmedical/registry

Coverage

What the catalog contains and, more usefully, what it is missing. Everything here is computed from the corpus at build time.

7,453
entries
40
human-checked
10,662
people credited
45
distinct licences
review state

The number that matters most, and the one we are worst at. Almost everything here was machine-imported and has never been read by a person.

verified40
stale0
imported7,413

0.5% of the catalog has been confirmed by a human. Verifying one record is the single most useful thing anyone can do here.

by category
Therapeutics747
Devices & Hardware515
Manufacturing & Supply36
Software & Systems5,136
Protocols & Guidelines115
Data & Standards904

The thin categories are not thin because the work does not exist. Open hardware, manufacturing, and clinical guidelines mostly do not live in Git repositories, and repository search is where most of this corpus came from — so the shape of this chart is partly a picture of our own blind spot.

where records come from
has a repository6,908
no repository545
credits people4,494
licence class
osi6,610
open-hardware65
open-data2
cc406
mixed46
unknown324

311 entries carry a licence we could not resolve to an SPDX identifier. Those are recorded as NOASSERTION or LicenseRef-* and are never claimed as OSI-approved.

most common licences
MIT3,502
Apache-2.01,197
GPL-3.01,088
BSD-3-Clause357
NOASSERTION309
CC-BY-4.0281
AGPL-3.0207
GPL-2.090
CC0-1.062
BSD-2-Clause60
CC-BY-NC-SA-4.053
LGPL-3.048
MPL-2.047
CC-BY-SA-4.037
activity
active2,890
maintained1,051
dormant2,965
archived4
unknown543
most common tags
bioinformatics879deep-learning716python696machine-learning508genomics472healthcare469medical-imaging431cheminformatics388fhir378mri372eeg366dicom344single-cell335drug-discovery329neuroimaging303microscopy264proteomics242pytorch210mental-health204ecg203

All of this is in /v1/meta.json if you would rather compute your own.