json-schema-for-humans
Generate static HTML documentation from JSON schemas
Decision gist · record as of 2026-08-14
Yes. The package is actively maintained, has no known vulnerabilities, low install friction, and solves a clear problem—turning JSON schemas into readable documentation. It's mature (Development Status 6), supports current Python versions, and carries a permissive license. Install it if you need to document JSON schemas in static HTML or Markdown format.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.9 or later (supports up to 3.14).
- Low install friction with a pure Python wheel and eight common dependencies (Jinja2, PyYAML, Pygments, click, dataclasses-json, markdown2, pytz, requests).
- Actively maintained with recent commits and a stable release cadence.
License · maintenance · safety
Apache-2.0 (permissive) — Apache-2.0 permissive license allows commercial and private use with minimal restrictions; you must include a copy of the license and note any modifications.
last release 2025-11-21 (266 days) · last repo commit 2026-08-12 · 741 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 2,072,062 downloads/mo, #3,322 on PyPI
Alternatives
Verify before relying
pip install json-schema-for-humans
from json_schema_for_humans.generate import generate_from_filename
from json_schema_for_humans.generation_configuration import GenerationConfiguration
config = GenerationConfiguration(copy_css=False, expand_buttons=True)
generate_from_filename("my_schema.json", "schema_doc.html", config=config)- Performance characteristics with very large or deeply nested schemas.
- Whether circular reference handling covers all edge cases in practice.
- Accessibility compliance of generated HTML output.
What it is and what it does
json-schema-for-humans is a documentation generator that reads JSON Schema files and produces static HTML or Markdown pages describing the schema structure. It's built on Jinja2 templating with support for JSON Schema Draft-07 features including types, formats, constraints, combining schemas (oneOf, allOf, anyOf, not), and references—both internal and external (local files or URLs). The tool works both as a CLI command (generate-schema-doc) and as a Python library with methods for generating from files, filenames, or file objects.
The package is useful when you need human-readable schema documentation that can be hosted statically or embedded in existing documentation systems. It handles multiple input formats (JSON and YAML), supports different output templates, and generates anchor links for deep linking to specific schema sections. Since the output is static HTML or Markdown, it's faster to load and easier to host than dynamic documentation systems.
Use it for
- Generate API documentation from JSON Schema files for developer reference.
- Create schema documentation in Markdown for inclusion in GitHub repositories or wikis.
- Build static HTML schema docs to host on documentation sites without server-side processing.
- Document configuration file schemas for command-line tools or applications.
- Generate multiple schema docs in batch from a directory of schema files.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes.
The package is actively maintained, has no known vulnerabilities, low install friction, and solves a clear problem—turning JSON schemas into readable documentation. It's mature (Development Status 6), supports current Python versions, and carries a permissive license. Install it if you need to document JSON schemas in static HTML or Markdown format.
Install
json-schema-for-humans on PyPI
Before you install
Low install friction with a pure Python wheel and eight common dependencies (Jinja2, PyYAML, Pygments, click, dataclasses-json, markdown2, pytz, requests). Actively maintained with recent commits and a stable release cadence.
Requires Python 3.9 or later (supports up to 3.14).
License in practice
Apache-2.0 permissive license allows commercial and private use with minimal restrictions; you must include a copy of the license and note any modifications.
Quickstart
pip install json-schema-for-humans
from json_schema_for_humans.generate import generate_from_filename
from json_schema_for_humans.generation_configuration import GenerationConfiguration
config = GenerationConfiguration(copy_css=False, expand_buttons=True)
generate_from_filename("my_schema.json", "schema_doc.html", config=config)Verify before relying
- Performance characteristics with very large or deeply nested schemas.
- Whether circular reference handling covers all edge cases in practice.
- Accessibility compliance of generated HTML output.
Package facts
| License | Apache-2.0 permissive |
| Python support | Supports the current Python release <4.0,>=3.9 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 8 packagesJinja2PyYAMLPygmentsclickdataclasses-jsonmarkdown2pytzrequests |
| Maintenance | Actively maintained 266 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 2,072,062 / month, #3,322 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Development Status :: 6 - MatureIntended Audience :: DevelopersLicense :: OSI Approved :: Apache Software LicenseOperating System :: OS IndependentProgramming Language :: Python :: 3Programming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.14Programming Language :: Python :: 3.9Topic :: Documentation |
Evidence: json_schema_for_humans-1.5.1-py3-none-any.whl
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See also jsonschema2md · marshmallow-jsonschema · mkdocs-render-swagger-plugin · genson · jsonschema-pydantic-converter · jsonschema-specifications · json-ref-dict · check-jsonschema · essentials-openapi · jschon