A practical reference for the Open Data Product Specification (ODPS). This repo combines learning resources, sample YAML, and FAQ guidance so teams can define data products in a consistent, interoperable way.
- What is this repo?
- Browse the FAQ
- Download the toolkit and Python library
- See the courses
- Use the YAML builder
- Raise an issue
faq/— curated question-and-answer pages with real ODPS examplesfaq/yaml/— companion YAML source examples for each FAQ topicODPS4/— sample Open Data Product YAMLs for schema and product patternsresources/— toolkit files, visuals, and supporting downloads
- Learn ODPS through practical examples, not just specification text
- Copy and reuse proven YAML patterns for contracts, pricing, access, SLA, and DQ
- Find reusable components and reference patterns for production-ready metadata
- Access training, templates, and tools that speed up ODPS adoption
This section helps you understand and apply the ODPS specification through practical, modular examples. Each answer includes:
- explanation of the concept
- plain YAML snippets
- full ODPS YAML examples in
faq/yaml
- What is ODPS, and why should I use it?
- What does a complete ODPS-compliant product look like?
- What are the required and optional sections in ODPS?
- How do I define metadata for my data product?
- How do I define related products and use cases?
- How do I define a product strategy and what is it?
- How do I define product internal KPIs to measure product?
- How do I define pricing plans?
- Can I offer free and paid tiers in the same product?
- How do I assign SLAs to pricing plans?
- How do I define and reuse a payment gateway?
- How do I reuse SLA, DQ, and Access across products?
- Can I reference external YAML files?
- What’s the difference between internal and external references?
- How does ODPS support AI agent consumption?
- How to use ODPS spec with LLMs.txt?
- How to build AI-assisted Minimum Lovable Governance with Claude?
- How do I validate an ODPS spec in tools?
- How do I validate an ODPS YAML file?
- Are there templates I can use to start faster?
Each FAQ answer is stored in
/faq, and most include a matching YAML example infaq/yaml.
- A free, open set of canvases for designing, measuring, and managing data products. Includes frameworks such as Data Product Canvas 2.1, Value Measure Framework, and Blueprint Model. Download the toolkit
- A Minimum Lovable Governance whitepaper for data product governance and operating model guidance. Read the whitepaper
- A comprehensive, high-performance Python library for creating, validating, and manipulating Open Data Product Specification (ODPS) v4.0 documents with full international standards compliance. Get the Library
Apply ODPS in real-world business scenarios with structured training on monetization, governance, AI readiness, and product strategy.
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Master the Leading Data Product Specification with GPT tool A focused introduction to ODPS for architects, business managers, and product owners.
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Data Product Monetization MasterClass Learn how to turn ODPS-based products into revenue-generating offerings, including pricing, AI monetization, and payment strategy.
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Data Product MasterClass Build a practical data product mindset with blueprints, examples, and execution guidance.
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Minimum Lovable Governance Learn governance patterns that fit lean teams and support scalable data product delivery.
These courses are designed to complement the documentation and examples in this repository.
An AI-assisted tool for authoring and validating ODPS 4.0 YAML. It helps generate schema-compliant output, but should be used with manual review.
- ODPS-compliant YAML generation
- Schema-aware guidance for contracts, access, pricing, SLA, and DQ
- Support for
$refand modular YAML structures - Example-first output, ready for copy/paste
If you cannot find what you are looking for, please raise an issue and describe your need.