Skip to main content

VIDS Validator

PyPI Python License

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 passed
  • 1 — 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.

Metadata

Release files for vids-validator 1.2.1

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for vids-validator 1.2.1
File Size Uploaded
vids_validator-1.2.1.tar.gz 12.2 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for vids-validator 1.2.1
File Interpreter ABI Platform
vids_validator-1.2.1-py3-none-any.whl Python 3 none any Details

Total release size: 24.0 kB

Release files / vids_validator-1.2.1.tar.gz

Download URL vids_validator-1.2.1.tar.gz
Size 12.2 kB
Tags Source
SHA-256 checksum
How to use checksums
aab2b30f2d31e1d23f558e98ac651c64b452ee3433222b4543590c1ae59e3691
BLAKE2b-256 checksum
How to use checksums
6a62e93b548d833f194c5e21222e4eaa7bd54f49b422b35849e8891d3900eebe
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/6.2.0 CPython/3.9.12

Release files / vids_validator-1.2.1-py3-none-any.whl

Download URL vids_validator-1.2.1-py3-none-any.whl
Size 11.8 kB
Tags Python 3
SHA-256 checksum
How to use checksums
e15b440090b8444288f74fb763bd8a2e946b9a027e48ea0876883696479b0264
BLAKE2b-256 checksum
How to use checksums
bc6cc348d18008277cd0af7a874ddebf3c3e7bba06a80654e2b4afbdf5ac33d5
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/6.2.0 CPython/3.9.12

Release history Release notifications | RSS feed

This release

1.2.1 This release

2 release files

1.2.0

2 release files

1.1.1

2 release files

1.1.0

2 release files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page