Generator Feature Dashboard

This dashboard shows which LinkML metamodel features each generator supports. The compliance test suite (tests/linkml/test_compliance/) is the source of truth — every cell below is derived from actual test results.

Regenerate with: uv run pytest tests/linkml/test_compliance/ --with-output && uv run python scripts/generate_dashboard.py

Legend

Icon	Meaning
✅	Fully supported
⚠️	Partial / incomplete / mixed
❌	Not implemented
⚪	Not applicable
❓	Not yet tested

Summary by Category

Each cell shows the aggregate result across all tests in that category. Scroll down for per-test details.

Category	Pydantic	Python DC	JSON Schema	Java	SHACL	ShEx	OWL	JSON-LD Ctx	SQLite DDL	Postgres DDL	Pandera	Polars Schema	sql_ddl_bigquery
Arrays	✅	❓	⚠️	⚠️	❓	⚠️	❓	⚠️	❓	⚠️	⚠️	⚠️	⚠️
Boolean Expressions	⚠️	⚠️	⚠️	⚠️	⚠️	⚠️	⚠️	⚠️	⚠️	⚠️	⚠️	⚠️	⚠️
Cardinality & Presence	⚠️	⚠️	✅	⚠️	⚠️	⚠️	⚠️	⚠️	⚠️	⚠️	⚠️	⚠️	⚠️
Core Structure	⚠️	⚠️	⚠️	❓	⚠️	❓	⚠️	✅	⚠️	❓	⚠️	✅	❓
Defaults & Computed	✅	✅	⚠️	❓	✅	❓	❓	✅	⚠️	❓	✅	✅	❓
Enumerations	⚠️	⚠️	✅	⚠️	⚠️	⚠️	⚠️	⚠️	⚠️	⚠️	⚠️	⚠️	⚠️
Identity & Keys	⚠️	⚠️	⚠️	⚠️	⚠️	⚠️	⚠️	⚠️	⚠️	⚠️	❓	⚠️	⚠️
Inheritance & Refinement	✅	⚠️	⚠️	⚠️	⚠️	❓	⚠️	⚠️	⚠️	⚠️	⚠️	⚠️	⚠️
Inlining & References	⚠️	⚠️	⚠️	⚠️	⚠️	⚠️	⚠️	⚠️	⚠️	⚠️	⚠️	⚠️	⚠️
Metadata	⚠️	⚠️	⚠️	❓	⚠️	❓	❓	⚠️	⚠️	❓	⚠️	⚠️	❓
Other	⚠️	⚠️	⚠️	⚠️	❓	⚠️	⚠️	⚠️	⚠️	⚠️	⚠️	⚠️	⚠️
Rules & Classification	⚠️	⚠️	⚠️	⚠️	❓	⚠️	⚠️	⚠️	⚠️	⚠️	⚠️	⚠️	⚠️
Schema-Level	✅	✅	✅	❓	⚠️	❓	❓	✅	✅	❓	⚠️	✅	❓
Slot Typing & Ranges	⚠️	⚠️	⚠️	❓	⚠️	⚠️	⚠️	✅	⚠️	❓	⚠️	⚠️	❓
Value Constraints	⚠️	⚠️	⚠️	⚠️	⚠️	⚠️	⚠️	⚠️	⚠️	⚠️	⚠️	⚠️	⚠️
Uncategorized	⚠️	⚠️	✅	⚠️	⚠️	⚠️	❓	⚠️	⚠️	⚠️	❓	⚠️	⚠️

Coverage Scores

Percentage of tests where the generator fully implements the feature (excluding not-applicable).

Generator	Implements	Partial	Ignores	N/A	Total	Score
Pydantic	31	34	1	0	66	47%
Python DC	18	38	10	0	66	27%
JSON Schema	41	23	2	0	66	62%
Java	0	24	42	0	66	0%
SHACL	21	25	20	0	66	32%
ShEx	0	24	42	0	66	0%
OWL	0	26	40	0	66	0%
JSON-LD Ctx	36	24	6	0	66	55%
SQLite DDL	13	41	12	0	66	20%
Postgres DDL	0	23	43	0	66	0%
Pandera	16	28	22	0	66	24%
Polars Schema	30	23	13	0	66	45%
sql_ddl_bigquery	0	24	42	0	66	0%

Details by Category

Arrays

Test	Pydantic	Python DC	JSON Schema	Java	SHACL	ShEx	OWL	JSON-LD Ctx	SQLite DDL	Postgres DDL	Pandera	Polars Schema	sql_ddl_bigquery
N-dimensional arrays	✅	❓	⚠️	⚠️	❓	⚠️	❓	⚠️	❓	⚠️	⚠️	⚠️	⚠️

Boolean Expressions

Test	Pydantic	Python DC	JSON Schema	Java	SHACL	ShEx	OWL	JSON-LD Ctx	SQLite DDL	Postgres DDL	Pandera	Polars Schema	sql_ddl_bigquery
Cardinality in exactly_one_of	⚠️	⚠️	⚠️	⚠️	⚠️	⚠️	⚠️	⚠️	⚠️	⚠️	⚠️	⚠️	⚠️
Class any_of	⚠️	⚠️	⚠️	⚠️	⚠️	⚠️	❓	⚠️	⚠️	⚠️	⚠️	⚠️	⚠️
Class boolean constraints with required	⚠️	⚠️	✅	⚠️	⚠️	⚠️	⚠️	⚠️	⚠️	⚠️	⚠️	⚠️	⚠️
Class boolean with expressions	⚠️	⚠️	⚠️	⚠️	❓	⚠️	⚠️	⚠️	⚠️	⚠️	❓	⚠️	⚠️
Slot all_of	⚠️	⚠️	✅	⚠️	⚠️	⚠️	❓	⚠️	⚠️	⚠️	⚠️	⚠️	⚠️
Slot any_of	✅	✅	⚠️	❓	❓	❓	❓	✅	⚠️	❓	❓	❓	❓
Slot boolean with expressions	⚠️	⚠️	⚠️	⚠️	❓	⚠️	⚠️	⚠️	⚠️	⚠️	❓	⚠️	⚠️
Slot exactly_one_of	⚠️	⚠️	✅	⚠️	⚠️	⚠️	❓	⚠️	⚠️	⚠️	⚠️	⚠️	⚠️
Slot none_of	⚠️	⚠️	✅	⚠️	⚠️	⚠️	❓	⚠️	⚠️	⚠️	⚠️	⚠️	⚠️

Cardinality & Presence

Test	Pydantic	Python DC	JSON Schema	Java	SHACL	ShEx	OWL	JSON-LD Ctx	SQLite DDL	Postgres DDL	Pandera	Polars Schema	sql_ddl_bigquery
Identifier implies required	✅	✅	✅	❓	❓	❓	❓	✅	✅	❓	✅	✅	❓
Membership constraints	⚠️	⚠️	✅	⚠️	⚠️	⚠️	⚠️	⚠️	⚠️	⚠️	⚠️	⚠️	⚠️
Min/max cardinality	✅	⚠️	✅	❓	✅	❓	❓	✅	⚠️	❓	⚠️	✅	❓
Required / multivalued	⚠️	⚠️	✅	❓	⚠️	❓	⚠️	✅	⚠️	❓	⚠️	✅	❓

Core Structure

Test	Pydantic	Python DC	JSON Schema	Java	SHACL	ShEx	OWL	JSON-LD Ctx	SQLite DDL	Postgres DDL	Pandera	Polars Schema	sql_ddl_bigquery
Abstract classes	⚠️	⚠️	⚠️	❓	⚠️	❓	⚠️	✅	⚠️	❓	⚠️	✅	❓
Attribute refinement	✅	✅	✅	❓	✅	❓	❓	✅	✅	❓	⚠️	✅	❓
Attributes	✅	✅	✅	❓	✅	❓	❓	✅	✅	❓	✅	✅	❓
Class inheritance (is_a)	⚠️	⚠️	⚠️	❓	⚠️	❓	⚠️	✅	⚠️	❓	⚠️	✅	❓
Mixins	⚠️	⚠️	⚠️	❓	⚠️	❓	⚠️	✅	⚠️	❓	⚠️	✅	❓
Slot inheritance	✅	⚠️	✅	❓	⚠️	❓	❓	✅	⚠️	❓	⚠️	✅	❓
Slot usage	✅	⚠️	✅	❓	⚠️	❓	❓	✅	⚠️	❓	⚠️	✅	❓

Defaults & Computed

Test	Pydantic	Python DC	JSON Schema	Java	SHACL	ShEx	OWL	JSON-LD Ctx	SQLite DDL	Postgres DDL	Pandera	Polars Schema	sql_ddl_bigquery
If-absent defaults	✅	✅	⚠️	❓	✅	❓	❓	✅	⚠️	❓	✅	✅	❓

Enumerations

Test	Pydantic	Python DC	JSON Schema	Java	SHACL	ShEx	OWL	JSON-LD Ctx	SQLite DDL	Postgres DDL	Pandera	Polars Schema	sql_ddl_bigquery
Enum aliases	✅	✅	✅	❓	✅	❓	❓	✅	✅	❓	✅	✅	❓
Enum hierarchy	✅	✅	✅	❓	✅	❓	❓	✅	⚠️	❓	⚠️	✅	❓
Non-standard enum names	⚠️	⚠️	✅	❓	⚠️	❓	⚠️	✅	⚠️	❓	⚠️	❓	❓
Optional enum nullability	✅	✅	✅	❓	✅	❓	❓	✅	✅	❓	✅	✅	❓
Static enums	⚠️	⚠️	✅	⚠️	⚠️	⚠️	⚠️	⚠️	⚠️	⚠️	⚠️	⚠️	⚠️
Typed permissible values	✅	✅	✅	❓	✅	❓	❓	✅	⚠️	❓	⚠️	✅	❓

Identity & Keys

Test	Pydantic	Python DC	JSON Schema	Java	SHACL	ShEx	OWL	JSON-LD Ctx	SQLite DDL	Postgres DDL	Pandera	Polars Schema	sql_ddl_bigquery
Identifier	⚠️	✅	⚠️	⚠️	⚠️	⚠️	⚠️	⚠️	⚠️	⚠️	❓	⚠️	⚠️
Nested keys	⚠️	⚠️	⚠️	❓	✅	❓	❓	✅	✅	❓	❓	❓	❓
Type designator	⚠️	⚠️	⚠️	⚠️	⚠️	⚠️	⚠️	⚠️	⚠️	⚠️	❓	⚠️	⚠️
Unique keys	⚠️	⚠️	⚠️	⚠️	⚠️	⚠️	⚠️	⚠️	⚠️	⚠️	❓	⚠️	⚠️

Inheritance & Refinement

Test	Pydantic	Python DC	JSON Schema	Java	SHACL	ShEx	OWL	JSON-LD Ctx	SQLite DDL	Postgres DDL	Pandera	Polars Schema	sql_ddl_bigquery
Subproperty class range	✅	❓	❓	❓	❓	❓	❓	❓	❓	❓	❓	❓	❓
Subproperty deep hierarchy	✅	❓	✅	❓	✅	❓	❓	❓	❓	❓	❓	❓	❓
Subproperty multivalued	✅	❓	✅	❓	❓	❓	❓	❓	❓	❓	❓	❓	❓
Subproperty range formatting	✅	❓	✅	❓	❓	❓	❓	❓	❓	❓	❓	❓	❓
Subproperty slot_usage narrowing	✅	❓	✅	❓	❓	❓	❓	❓	❓	❓	❓	❓	❓
Subproperty value constraint	✅	⚠️	✅	⚠️	✅	❓	⚠️	⚠️	⚠️	⚠️	⚠️	⚠️	⚠️

Inlining & References

Test	Pydantic	Python DC	JSON Schema	Java	SHACL	ShEx	OWL	JSON-LD Ctx	SQLite DDL	Postgres DDL	Pandera	Polars Schema	sql_ddl_bigquery
Inlined as simple dict	⚠️	⚠️	✅	❓	⚠️	❓	⚠️	✅	❓	❓	✅	✅	❓
Inlined objects	✅	⚠️	✅	❓	❓	❓	❓	✅	⚠️	❓	✅	✅	❓
Inlined with unique keys	⚠️	⚠️	⚠️	⚠️	⚠️	⚠️	⚠️	⚠️	⚠️	⚠️	❓	❓	⚠️

Metadata

Test	Pydantic	Python DC	JSON Schema	Java	SHACL	ShEx	OWL	JSON-LD Ctx	SQLite DDL	Postgres DDL	Pandera	Polars Schema	sql_ddl_bigquery
Aliasing	✅	✅	✅	❓	⚠️	❓	❓	✅	✅	❓	✅	✅	❓
Annotations	✅	✅	✅	❓	✅	❓	❓	✅	✅	❓	✅	✅	❓
Common metadata	❓	❓	❓	❓	❓	❓	❓	❓	❓	❓	❓	❓	❓
Descriptions	✅	✅	✅	❓	✅	❓	❓	✅	✅	❓	✅	✅	❓
Element URIs	✅	✅	✅	❓	✅	❓	❓	✅	✅	❓	✅	✅	❓

Other

Test	Pydantic	Python DC	JSON Schema	Java	SHACL	ShEx	OWL	JSON-LD Ctx	SQLite DDL	Postgres DDL	Pandera	Polars Schema	sql_ddl_bigquery
JSON Pointer	⚠️	⚠️	⚠️	⚠️	❓	⚠️	⚠️	⚠️	⚠️	⚠️	⚠️	⚠️	⚠️

Rules & Classification

Test	Pydantic	Python DC	JSON Schema	Java	SHACL	ShEx	OWL	JSON-LD Ctx	SQLite DDL	Postgres DDL	Pandera	Polars Schema	sql_ddl_bigquery
Classification rules	⚠️	⚠️	⚠️	⚠️	❓	⚠️	⚠️	⚠️	⚠️	⚠️	⚠️	⚠️	⚠️
Precondition combos	⚠️	⚠️	✅	⚠️	❓	⚠️	⚠️	⚠️	⚠️	⚠️	⚠️	⚠️	⚠️
Precondition rules	⚠️	⚠️	✅	⚠️	❓	⚠️	❓	⚠️	⚠️	⚠️	❓	⚠️	⚠️
Value presence in rules	⚠️	⚠️	✅	⚠️	❓	⚠️	⚠️	⚠️	⚠️	⚠️	❓	⚠️	⚠️

Schema-Level

Test	Pydantic	Python DC	JSON Schema	Java	SHACL	ShEx	OWL	JSON-LD Ctx	SQLite DDL	Postgres DDL	Pandera	Polars Schema	sql_ddl_bigquery
Instantiates	✅	✅	✅	❓	✅	❓	❓	✅	✅	❓	✅	✅	❓
Schema imports	✅	✅	✅	❓	❓	❓	❓	✅	✅	❓	⚠️	✅	❓

Slot Typing & Ranges

Test	Pydantic	Python DC	JSON Schema	Java	SHACL	ShEx	OWL	JSON-LD Ctx	SQLite DDL	Postgres DDL	Pandera	Polars Schema	sql_ddl_bigquery
Any type	✅	✅	✅	❓	❓	❓	❓	✅	❓	❓	❓	✅	❓
Custom types (typeof)	⚠️	⚠️	⚠️	❓	❓	❓	⚠️	✅	⚠️	❓	❓	✅	❓
Date/datetime types	⚠️	⚠️	⚠️	❓	⚠️	⚠️	⚠️	✅	⚠️	❓	⚠️	❓	❓
Primitive type ranges	⚠️	⚠️	⚠️	❓	⚠️	⚠️	⚠️	✅	⚠️	❓	✅	✅	❓
URI types	⚠️	✅	⚠️	❓	✅	❓	❓	✅	✅	❓	✅	✅	❓

Value Constraints

Test	Pydantic	Python DC	JSON Schema	Java	SHACL	ShEx	OWL	JSON-LD Ctx	SQLite DDL	Postgres DDL	Pandera	Polars Schema	sql_ddl_bigquery
Equals string	✅	❓	✅	❓	✅	❓	❓	✅	❓	❓	❓	❓	❓
Equals string in	✅	❓	✅	❓	✅	❓	⚠️	✅	❓	❓	❓	❓	❓
ID prefix	⚠️	⚠️	⚠️	⚠️	⚠️	⚠️	⚠️	⚠️	⚠️	⚠️	⚠️	⚠️	⚠️
Min/max value	✅	⚠️	✅	❓	✅	❓	❓	✅	⚠️	❓	✅	✅	❓
Regex pattern	⚠️	⚠️	⚠️	❓	✅	❓	❓	✅	⚠️	❓	⚠️	✅	❓
Structured pattern	✅	⚠️	✅	❓	✅	❓	❓	✅	⚠️	❓	✅	✅	❓

Uncategorized

Test	Pydantic	Python DC	JSON Schema	Java	SHACL	ShEx	OWL	JSON-LD Ctx	SQLite DDL	Postgres DDL	Pandera	Polars Schema	sql_ddl_bigquery
range expression booleans	⚠️	❓	✅	⚠️	❓	❓	❓	⚠️	❓	❓	❓	⚠️	⚠️
range expression nesting	⚠️	⚠️	✅	⚠️	⚠️	⚠️	❓	⚠️	⚠️	⚠️	❓	⚠️	⚠️

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This dashboard is auto-generated from compliance test results. To update: run the compliance tests with --with-output, then run uv run python scripts/generate_dashboard.py. To add features, write a new compliance test and decorate it with @feature_category("Category Name", "Display Name").