How to convert an Orderly schema to JSONSchema?

Use the reference parser included in the repository; it can parse Orderly files and output equivalent JSONSchema. Check the documentation for specific usage examples and commands.

Orderly vs JSONSchema: which is better for my project?

Orderly is better if you prioritize readable, maintainable schema definitions, but JSONSchema is more suitable for modern tooling and active support. Consider Orderly's age and limited updates.

What does an Orderly schema for a simple object look like?

Orderly uses a textual syntax similar to simplified code; for example, defining an object with properties and types. Refer to the docs.md file for exact grammar and examples.

Is Orderly still maintained or updated?

No, the project hasn't seen significant updates since 2009, making it largely historical. It's not actively maintained for contemporary development needs.

Can I use Orderly with languages like Python or Java?

Yes, but indirectly. Compile Orderly to JSONSchema first, then use standard JSONSchema validators available in those languages, as the reference implementation likely outputs compatible schemas.

How to validate JSON data using an Orderly schema?

First, compile the Orderly schema to JSONSchema with the provided parser. Then, apply any JSONSchema validator in your preferred language to check the JSON data against the generated schema.

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Orderly JSON

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A human-readable textual format for describing JSON that compiles to JSONSchema.

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What is Orderly JSON?

Orderly is a textual schema language for describing and validating JSON data structures. It provides a human-readable format that compiles directly to JSONSchema, making it easier for developers to define complex data models without dealing with verbose JSONSchema syntax. The project includes a reference implementation that can parse Orderly schemas and convert them to standard JSONSchema.

Target Audience

Developers and data engineers who work extensively with JSON data and need a more maintainable way to define and validate data schemas.

Value Proposition

Orderly offers a cleaner, more intuitive syntax compared to raw JSONSchema while maintaining full compatibility, reducing cognitive load and improving schema maintainability.

Overview

The reference implementation of orderly: a schema language for JSON.

Use Cases

Best For

Creating readable JSON schemas for API documentation
Simplifying JSON data validation in development workflows
Generating JSONSchema from human-friendly definitions
Teaching JSON schema concepts with clearer syntax
Maintaining large JSON-based data models
Integrating schema validation in build pipelines

Not Ideal For

Projects requiring support for the latest JSONSchema drafts (e.g., 2020-12), as Orderly's last update was in 2009.
Teams needing active community support, regular updates, or integration with modern validation ecosystems.
Developers already heavily invested in JSONSchema tooling who prefer native syntax without an extra compilation step.

Pros & Cons

Pros

Human-Readable Syntax

Orderly uses a clean textual format that's easier to read and write than verbose JSONSchema, with a documented grammar in docs.md for clarity.

JSONSchema Compatibility

It compiles directly to standard JSONSchema, ensuring interoperability with existing validation tools, as highlighted in the key features.

Comprehensive Documentation

Provides detailed grammar and usage documentation, making it accessible for learning and implementation, as noted in the README.

Reference Implementation Included

Includes a fully functional parser that can cross-compile between Orderly and JSONSchema formats, demonstrated in the repository.

Cons

Outdated and Inactive

The project's last major update was in 2009, with no recent activity, indicating potential bugs and lack of modern feature support.

Limited Ecosystem

As a niche project from 2009, it lacks community contributions, plugins, and integrations compared to active JSONSchema alternatives.

Feature Gaps

May not support advanced JSONSchema features or drafts, and the reference implementation might be incomplete for complex validation scenarios.

Frequently Asked Questions

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