Reference validator for the VIDS (Verified Imaging Dataset Standard) specification
Project description
VIDS Validator
Reference validator for the VIDS (Verified Imaging Dataset Standard) specification.
Zero dependencies. Python 3.8+. One command.
Install
pip install vids-validator
Usage
Command line
# Validate a dataset (auto-detects profile from .vids marker)
vids-validate /path/to/dataset
# Explicit Full profile validation
vids-validate /path/to/dataset --profile full
# JSON output (for CI pipelines)
vids-validate /path/to/dataset --json
# Save report to file
vids-validate /path/to/dataset --output report.json
Python API
from vids_validator import VIDSValidator
validator = VIDSValidator("/path/to/dataset", profile="auto")
report = validator.validate()
print(report["Summary"]["Status"]) # "PASS" or "FAIL"
print(report["Summary"]["Passed"]) # number of rules passed
As a module
python -m vids_validator /path/to/dataset
What it checks
21 validation rules across 6 categories:
| Category | Rules | Scope |
|---|---|---|
| Structure (S001–S006) | .vids marker, dataset_description.json, participants, README, subject/session dirs |
All profiles |
| Imaging (I001–I004) | NIfTI files, sidecar JSONs, valid JSON, naming convention | All profiles |
| Annotation (A001–A005) | Annotation directory, segmentation files, sidecars, provenance fields | All profiles |
| Quality (Q001–Q003) | Quality directory, quality summary, annotation agreement | Full only |
| ML (M001–M002) | ML directory, splits.json | Full only |
| Metadata (D001) | CHANGES.md | All (WARN) |
A dataset is compliant if and only if zero rules have FAIL status.
Profiles
- POC (15 rules) — quick prototypes, pilots, internal research
- Full (21 rules) — production, publications, regulatory submissions
The profile is declared in the .vids marker file at the dataset root.
Exit codes
0— validation passed1— validation failed
Links
License
Apache License 2.0 — see LICENSE.
VIDS was created by Princeton Medical Systems and is maintained as an open community standard.
Project details
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 vids_validator-1.2.0.tar.gz.
File metadata
- Download URL: vids_validator-1.2.0.tar.gz
- Upload date:
- Size: 12.2 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.9.12
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
b0b4d3c5839a55b726bb509a62ec6f75b02450a14fe51d0addb719fbeb145194
|
|
| MD5 |
5248a0f5cece6390b898e7c16cf54303
|
|
| BLAKE2b-256 |
0e1e42809b82a6399db5058909120dd19624315e0ca449e168c331d85449719a
|
File details
Details for the file vids_validator-1.2.0-py3-none-any.whl.
File metadata
- Download URL: vids_validator-1.2.0-py3-none-any.whl
- Upload date:
- Size: 11.7 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.9.12
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
e7a6b3a35d17e0294bae1c74fc71eacf2ada8fd37f8bfe64bc4519c8354e5d84
|
|
| MD5 |
58273c447aa049172170765f231cd056
|
|
| BLAKE2b-256 |
ec522bef157e7f7c0f029c08bb1894cbff0b4fb6fd5ec003e16e4c7996bbe221
|