Skip to main content

Generate static HTML documentation from JSON schemas

Project description

PyPI version

JSON Schema for Humans

Quickly generate a beautiful HTML static page documenting a JSON schema

Documentation (with visual examples)


  • Support for JSON Schema Draft-07
  • Since the result is static, it is easier to host and faster to load
  • Different templates to choose from (See here)
  • Anchor links, allow to send a user to a specific section of the documentation
  • Support for references (even circular!)


pip install json-schema-for-humans


Options for generation of the doc are documented using this very library

They can be supplied in various ways:

  • Using a JSON or YAML configuration file with the CLI option --config-file
  • Using the CLI option --config
  • Using a ConfigurationOption from code

More details are available in the appropriate sections below.

From CLI

generate-schema-doc [OPTIONS] SCHEMA_FILE [RESULT_FILE]

SCHEMA_FILE must be a valid JSON Schema (in JSON or YAML format)

The default value for RESULT_FILE is schema_doc.html

CLI options


Supply generation config parameters. The parameters are documented in the JSON schema config_schema.json at the root of the repo or see the generated doc.

Each parameter is in the format --config parameter_name=parameter_value. Example: --config expand_buttons=true. The parameter value must be valid JSON.

For flags, you can also omit the value for true or prefix the parameter name with no_ for false. Example: --config expand_buttons or --config no_expand_buttons.


Path to a JSON or YAML configuration file respecting the schema config_schema.json.

Example: --config-file jsfh-conf.yaml where jsfh-conf.yaml is in the current directory and contains the following:

description_is_markdown: false
expand_buttons: true
copy_js: false

From code

There are 3 methods that one could use:

Method Name Schema input Output CSS and JS copied?
generate_from_schema schema_file as str, Path (from pathlib) or a file object Rendered HTML as a str No
generate_from_filename schema_file_name as a str or Path Rendered HTML written to the file at path result_file_name Yes
generate_from_file_object schema_file as an open file object (read mode) Rendered HTML written to the file at result_file, which must be an open file object (in write mode) Yes


  • When using file objects, it is assumed that files are opened with encoding "utf-8"
  • CSS and JS files are copied to the current working directory with names "schema_doc.css" and "schema_doc.min.js" respectively
  • Other parameters of these methods are analogous to the CLI parameters documented above.

The GenerationConfiguration object

To reduce the number of parameters to pass from function to function in the code, there is a GenerationConfiguration object that should be used for providing options.


from json_schema_for_humans.generate import GenerationConfiguration, generate_from_filename

config = GenerationConfiguration(copy_css=False, expand_buttons=True)

generate_from_filename("my_schema.json", "schema_doc.html", config=config)

# Your doc is now in a file named "schema_doc.html". Next to it, "schema_doc.min.js" was copied, but not "schema_doc.css"
# Your doc will contain a "Expand all" and a "Collapse all" button at the top

Pre-load schemas

generate_from_schema has a loaded_schemas parameter that can be used to pre-load schemas. This must be a dict with the key being the real path of the schema file and the value being the result of loading the schema (with json.load or yaml.safe_load, for example).

This should not be necessary in normal scenarios.

What's supported

See the excellent Understanding JSON Schema to understand what are those checks

The following are supported:

  • Types
  • Regular expressions
  • String length
  • Numeric types multiples and range
  • Constant and enumerated values
  • Required properties
  • Pattern properties
  • Default values
  • Array minItems, maxItems, uniqueItems, items (schema that must apply to all of the array items), and contains
  • Combining schema with oneOf, allOf, anyOf, and not
  • Examples
  • Conditional subschemas

These are not supported at the moment (PRs welcome!):

  • String format
  • Property names and size
  • Array items at specific index (for example, first item must be a string and second must be an integer)
  • Property dependencies
  • Media


References are supported:

  • To another part of the schema, e.g. { $ref: "#/definitions/something" }
  • To a local file, {"$ref": "references.json"}, {"$ref": "references.json#/definitions/something"}
  • To a URL, {"$ref": ""}, {"$ref": ""}

You can have a description next to a $ref, it will be displayed in priority to the description from the referenced element.

If you have several attributes using the same definition, the definition will only be rendered once. All other usages of the same definition will be replaced with an anchor link to the first render of the definition. This can be turned off using --config no_link_to_reused_ref. See With references in the examples.


Templates control the style of the generated documentation.


This is the default template. It uses Bootstrap along with minimal Javascript to allow for the following:

  • Properties are in expandable dynamic sections. You can include a button to expand or collapse all. (See here)
  • Conditional subschemas (anyOf, oneOf, allOf) are in tabbed sections
  • Anchor links will scroll to, expand, and animate the target section
  • Long descriptions are collapsed by default

When using this template, you need to include the Javascript file (schema_doc.min.js) that is automatically copied next to the output HTML file (schema_doc.html by default).


Note: This template is a work in progress

It is sometimes not possible or desirable to include custom Javascript in documentation. This template addresses this issue by removing interactive elements in favor of simpler HTML.

At the moment, this means the whole documentation is generated without any collapsible sections, which may make it hard to understand the schema structure. Contributions are welcomed to improve it!



Project details

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Files for json-schema-for-humans, version 0.29.1
Filename, size File type Python version Upload date Hashes
Filename, size json_schema_for_humans-0.29.1-py3-none-any.whl (42.3 kB) File type Wheel Python version py3 Upload date Hashes View
Filename, size json-schema-for-humans-0.29.1.tar.gz (73.0 kB) File type Source Python version None Upload date Hashes View

Supported by

Pingdom Pingdom Monitoring Google Google Object Storage and Download Analytics Sentry Sentry Error logging AWS AWS Cloud computing DataDog DataDog Monitoring Fastly Fastly CDN DigiCert DigiCert EV certificate StatusPage StatusPage Status page