dppvalidator 0.2.4

Python library for validating Digital Product Passports (DPP) according to EU ESPR regulations and CIRPASS/UNECE ontologies

dppvalidator

The open-source compliance engine for EU Digital Product Passports

Installation • Quick Start • Features • Documentation • Contributing

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dppvalidator is a Python library for validating Digital Product Passports (DPP) according to EU ESPR regulations and UNTP standards.

Starting 2027, every textile and apparel product sold in the EU must have a Digital Product Passport. This library ensures your DPP data is compliant before it hits production — saving fashion brands from costly compliance failures and enabling seamless integration with the circular economy.

Why dppvalidator?

Challenge	Solution
Complex JSON Schema validation	Five-layer validation catches errors at schema, model, JSON-LD, semantic, and cryptographic levels
Evolving UNTP specifications	Built-in schema support for UNTP DPP 0.6.1 with easy version switching
Integration with existing systems	CLI + Python API for pipelines, CI/CD, and application integration
Custom business rules	Plugin system for domain-specific validators and exporters
Interoperability requirements	JSON-LD export for W3C Verifiable Credentials compliance

Installation

# Using uv (recommended)
uv add dppvalidator

# Using pip
pip install dppvalidator

# With CLI extras (rich formatting)
pip install dppvalidator[cli]

Requirements: Python 3.10+

Quick Start

Validate a DPP

from dppvalidator.validators import ValidationEngine

engine = ValidationEngine()

result = engine.validate(
    {
        "id": "https://example.com/dpp/battery-001",
        "type": ["DigitalProductPassport", "VerifiableCredential"],
        "issuer": {
            "id": "https://example.com/manufacturer",
            "name": "Acme Battery Co.",
        },
        "credentialSubject": {
            "id": "https://example.com/product/battery-001",
            "product": {
                "name": "EV Battery Pack",
                "description": "High-capacity lithium-ion battery",
            },
        },
    }
)

if result.valid:
    print(f"✓ Valid in {result.validation_time_ms:.2f}ms")
else:
    for error in result.errors:
        print(f"✗ [{error.code}] {error.path}: {error.message}")

Command Line

# Validate a DPP file
dppvalidator validate passport.json

# Strict mode - warnings become errors
dppvalidator validate passport.json --strict

# Export to JSON-LD (W3C Verifiable Credential format)
dppvalidator export passport.json --format jsonld --output passport.jsonld

# Display schema information
dppvalidator schema --version 0.6.1

Export to JSON-LD

from dppvalidator.models import DigitalProductPassport, CredentialIssuer
from dppvalidator.exporters import JSONLDExporter

passport = DigitalProductPassport(
    id="https://example.com/dpp/product-001",
    issuer=CredentialIssuer(
        id="https://example.com/issuer", name="Sustainable Textiles Ltd."
    ),
)

exporter = JSONLDExporter()
jsonld_output = exporter.export(passport)
# Ready for W3C Verifiable Credentials ecosystem

Features

Five-Layer Validation Architecture

flowchart TD
    subgraph Input
        A[/"📄 Input Data (JSON)"/]
    end

    subgraph Layer0["Layer 0: Schema Detection"]
        A0["Auto-detect schema version<br/>from $schema, @context, type"]
    end

    subgraph Layer1["Layer 1: Schema Validation"]
        B["JSON Schema Draft 2020-12<br/>Required fields, types, formats"]
    end

    subgraph Layer2["Layer 2: Model Validation"]
        C["Pydantic v2 Models<br/>Type coercion, URL validation"]
    end

    subgraph Layer3["Layer 3: JSON-LD Semantic"]
        C2["PyLD Expansion<br/>Context resolution, term validation"]
    end

    subgraph Layer4["Layer 4: Business Logic"]
        D["Business Rules & Vocabularies<br/>ISO codes, date logic, GTIN checksums"]
    end

    subgraph Layer5["Layer 5: Cryptographic"]
        E["VC Signature Verification<br/>DID resolution, Ed25519/ECDSA"]
    end

    subgraph Output
        F[/"✅ ValidationResult<br/>.valid | .errors | .signature_valid"/]
    end

    A --> A0
    A0 --> B
    B -->|"SCH001-SCH099"| C
    C -->|"MOD001-MOD099"| C2
    C2 -->|"JLD001-JLD099"| D
    D -->|"SEM001-SEM099"| E
    E -->|"SIG001-SIG099"| F

Selective Layer Validation

from dppvalidator.validators import ValidationEngine

# Run all layers (default)
engine = ValidationEngine()

# Schema validation only (fastest)
engine = ValidationEngine(layers=["schema"])

# Skip schema, run model + semantic
engine = ValidationEngine(layers=["model", "semantic"])

# Enable JSON-LD validation
engine = ValidationEngine(validate_jsonld=True)

# Enable signature verification
engine = ValidationEngine(verify_signatures=True)
result = engine.validate(dpp_data)
if result.signature_valid:
    print(f"Signed by: {result.issuer_did}")

Performance

Layer	Mean Time	Throughput
Model (minimal)	0.011ms	86,988 ops/sec
Model (full)	0.016ms	61,848 ops/sec
Semantic	0.005ms	193,628 ops/sec
Full (Model+Sem)	0.017ms	58,177 ops/sec
Engine Creation	3.867ms	259 ops/sec

Benchmarked on Apple Silicon. JSON-LD and signature verification depend on network latency (cached after first request).

Plugin System

Extend dppvalidator with custom validators following the SemanticRule protocol:

from dppvalidator.plugins import PluginRegistry


# Create a custom validator implementing SemanticRule protocol
class TextileFiberRule:
    """Custom rule to validate textile fiber composition."""

    rule_id = "TEX001"
    description = "Fiber composition must sum to 100%"
    severity = "error"
    suggestion = "Ensure all fiber percentages add up to 100"
    docs_url = "https://example.com/textile-rules"

    def check(self, passport):
        """Return list of (json_path, error_message) tuples."""
        violations = []
        # Add your validation logic here
        return violations


# Register with the plugin registry
registry = PluginRegistry(auto_discover=False)
registry.register_validator("textile", TextileFiberRule)

# ValidationEngine auto-discovers plugins via entry points by default
engine = ValidationEngine(load_plugins=True)

Documentation

📚 Full documentation: artiso-ai.github.io/dppvalidator

Guide	Description
Installation	Setup and CLI extras
Quick Start	Get started in 5 minutes
CLI Reference	Command-line interface
Validation Layers	Understanding the five-layer architecture
API Reference	Complete Python API

Built for Fashion & Textiles

The EU's Ecodesign for Sustainable Products Regulation (ESPR) mandates Digital Product Passports for textiles starting 2027. dppvalidator helps fashion brands prepare now:

DPP Requirement	How dppvalidator Helps
Material composition & weights	Validates fiber percentages sum to 100%
Manufacturing processes	Validates supply chain node structure
Environmental indicators	Supports LCA data validation
Chemical compliance (REACH)	Semantic validation for substance references
Traceability information	Validates production stage URIs
Durability & recyclability	Custom validators via plugin system

Use Cases

dppvalidator serves diverse stakeholders across the product lifecycle:

Use Case	Target User	Value Proposition
Pre-production validation	Brand product teams	Catch errors before QR code generation
Supplier onboarding	Procurement teams	Validate supplier DPP submissions
CI/CD compliance gates	DevOps teams	Automated compliance checks in pipelines
Data migration	IT teams	Validate legacy data exports to DPP format
Consumer apps	App developers	DPP scanning, parsing, and display
Recycling facilities	Waste management	Material identification for sorting
Resale platforms	Recommerce	Product authentication and history
Customs & compliance	Border control	Import compliance verification

Example: CI/CD Integration

# .github/workflows/validate-dpp.yml
- name: Validate DPP files
  run: dppvalidator validate data/passports/*.json --strict

Example: Supplier Validation API

from dppvalidator.validators import ValidationEngine

engine = ValidationEngine(strict_mode=True)


def validate_supplier_submission(dpp_json: dict) -> bool:
    result = engine.validate(dpp_json)
    if not result.valid:
        raise ValueError(f"Invalid DPP: {result.errors}")
    return True

Related Standards

• UNTP Digital Product Passport — UN/CEFACT specification
• EU ESPR Regulation — Ecodesign for Sustainable Products
• W3C Verifiable Credentials — Credential format standard

⚠️ Note on UNTP Specification: The UNTP Digital Product Passport specification is under active development and not yet ready for production implementation. We track the latest maintained releases and will update dppvalidator as the specification stabilizes. See the UNTP releases page for current status.

Contributing

We welcome contributions! Here's how to get started:

# Clone the repository
git clone https://github.com/artiso-ai/dppvalidator.git
cd dppvalidator

# Install dependencies with uv
uv sync --all-extras

# Run tests
uv run pytest

# Run linting
uv run ruff check .

See our Contributing Guide for more details.

About ARTISO

dppvalidator is developed and maintained by ARTISO, a Barcelona-based fashion technology company.

We believe the fashion industry's transition to sustainability requires open, accessible tools. By open-sourcing dppvalidator, we're enabling brands of all sizes - from emerging designers to global retailers - to meet EU compliance requirements without proprietary solutions.

Our commitment:

• Open Source First - Core validation engine will always be free and MIT-licensed
• Fashion Expertise - Built by a team with deep industry experience at major brands
• Circular Economy - Enabling the data infrastructure for textile recycling and resale
• Community Driven - We welcome contributions from brands, sustainability experts, and developers

"The circular economy can only work if recyclers can read the tags. dppvalidator ensures interoperability across the entire fashion supply chain."

License

MIT License — see LICENSE for details.

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artiso.ai · Documentation · Issues

_{Built with ❤️ in Barcelona for a more sustainable fashion industry}