Streamlit annotation tool for Digital Registrar pathology reports.
Project description
digital-registrar-annotator
Streamlit annotation tool for Digital Registrar pathology reports. Lets clinicians review and correct pipeline pre-annotations against the gold schema.
Install
pip install digital-registrar-annotator
# Workspace mode (with/without pre-annotations subdirs):
registrar-annotate-workspace
# Dummy mode (for trying without real data):
registrar-annotate-dummy
# Legacy flat layout:
registrar-annotate
Default port: 8500.
Folder layouts
- Canonical (workspace / dummy):
{base}/with_preann/{dataset}/{dataset,result}/and{base}/without_preann/{dataset}/dataset/. - Legacy flat:
{base}/{prefix}_dataset_{date}/,{prefix}_result_{date}/,{prefix}_annotation_{date}/.
The annotator reads pre-generated JSON schemas from the installed digital_registrar.schemas.data package. No DSPy / LLM dependency.
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file digital_registrar_annotator-0.2.0b2.tar.gz.
File metadata
- Download URL: digital_registrar_annotator-0.2.0b2.tar.gz
- Upload date:
- Size: 45.7 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.13.12
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
e6fa6e7e18e8851bcdec2843d5337af67a4f79f01c7575aba7f59fa9cc2a7cfa
|
|
| MD5 |
11e8c169940fb3486d4e90c0d84b9b3d
|
|
| BLAKE2b-256 |
412edfc4d46f51a9612b323253f0c3b6e8d2abad0b1c8cdd1c0a4ac8d8324dc2
|
File details
Details for the file digital_registrar_annotator-0.2.0b2-py3-none-any.whl.
File metadata
- Download URL: digital_registrar_annotator-0.2.0b2-py3-none-any.whl
- Upload date:
- Size: 50.5 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.13.12
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
1d37526043009844f3a02720a2db98ab2b9b592d91acd8162c09923ed3e1f8de
|
|
| MD5 |
1bfef16b84175e7ede3d7cadedf92a19
|
|
| BLAKE2b-256 |
b33aa29f21f8881dea2b3ecac28ad833c0cbd9dea74658381bc47ad878b00636
|
