windowsml

Python bindings for the Windows AI Machine Learning API.

This package provides a ctypes-based wrapper around the WinML flat C API, enabling Python applications to discover and manage execution providers and model catalogs for ONNX Runtime on Windows.

Installation

pip install windowsml

ONNX Runtime dependency

To automatically install a matching version of ONNX Runtime, use the with-ort extra:

pip install windowsml[with-ort]

If you choose not to use [with-ort], you must install a compatible version of onnxruntime separately and ensure it matches the version expected by this package.

Quick Start

EP Catalog — discover execution providers

from windowsml import EpCatalog

with EpCatalog() as catalog:
    for ep in catalog.find_all_providers():
        print(f"{ep.name} v{ep.version} - {ep.ready_state.name}")

        # Ensure the provider is ready (downloads/installs if needed)
        ep.ensure_ready()

Model Catalog — discover and download models

from windowsml import ModelCatalogSource, ModelCatalog

with ModelCatalogSource.create_from_uri("https://example.com/catalog.json") as source:
    with ModelCatalog([source]) as catalog:
        for model in catalog.find_all_models():
            print(f"{model.name} v{model.version} by {model.publisher}")
            print(f"  Size: {model.model_size_in_bytes} bytes")
            print(f"  EPs:  {model.execution_providers}")

API Reference

Enums

EpReadyState — Ready, NotReady, NotPresent
EpCertification — Unknown, Certified, Uncertified
CatalogModelStatus — Ready, NotReady
CatalogModelInstanceStatus — Available, InProgress, Unavailable

Classes

`EpCatalog()`

Context manager for the EP catalog.

Method	Description
`find_all_providers()`	Returns `list[ExecutionProvider]`
`close()`	Release the catalog

`ExecutionProvider`

Handle to a discovered EP (owned by the catalog).

Property / Method	Type
`name`	`str`
`version`	`str`
`package_family_name`	`str`
`library_path`	`str`
`package_root_path`	`str`
`ready_state`	`EpReadyState`
`certification`	`EpCertification`
`ensure_ready()`	Blocks until ready
`ensure_ready_async(on_complete, on_progress)`	Returns `AsyncOperation`

`ModelCatalogSource`

Represents a catalog source endpoint. Create via static factory methods.

Method / Property	Description
`create_from_uri(uri)`	Create from a URI or local path (blocking)
`create_from_uri_async(uri, ...)`	Create from a URI (async)
`create_from_uri_with_headers(uri, headers)`	Create with custom HTTP headers (blocking)
`create_from_uri_with_headers_async(uri, headers, ...)`	Create with custom HTTP headers (async)
`id`	`str` — source identifier
`uri`	`str` — source URI
`close()`	Release the source

`ModelCatalog(sources)`

Context manager for the model catalog. Created from a list of ModelCatalogSource.

Method / Property	Description
`execution_providers`	`list[str]` — configured EPs
`set_execution_providers(providers)`	Set EP filter for queries
`get_available_model(id_or_name)`	Returns `CatalogModelInfo`
`get_available_models()`	Returns `list[CatalogModelInfo]`
`find_model(id_or_name)`	Find a model (blocking)
`find_model_async(id_or_name, ...)`	Find a model (async)
`find_all_models()`	Find all models (blocking)
`find_all_models_async(...)`	Find all models (async)
`close()`	Release the catalog

`CatalogModelInfo`

Metadata about a model in the catalog.

Property / Method	Type
`id`	`str`
`name`	`str`
`publisher`	`str`
`source_id`	`str`
`version`	`str`
`license`	`str`
`license_uri`	`str`
`license_text`	`str`
`uri`	`str`
`model_size_in_bytes`	`int`
`execution_providers`	`list[str]`
`status`	`CatalogModelStatus`
`get_instance_async(...)`	Returns `AsyncOperation` → `CatalogModelInstance`
`get_instance_with_headers_async(headers, ...)`	Returns `AsyncOperation` → `CatalogModelInstance`
`close()`	Release the model info

`CatalogModelInstance`

A downloaded or local instance of a catalog model.

Property / Method	Type
`model_paths`	`list[str]` — local file paths
`model_info`	`CatalogModelInfo`
`close()`	Release the instance

`AsyncOperation`

Returned by async methods. Supports context-manager usage.

Method	Description
`wait()`	Block until complete
`get_status(wait=False)`	Poll or wait for status
`get_result()`	Extract the typed result (if applicable)
`cancel()`	Request cancellation
`close()`	Release async resources

Metadata

Release files for windowsml 2.4.89

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Built distributions (wheels)

Table of built distributions (wheels) for windowsml 2.4.89
File	Interpreter	ABI	Platform	Reset
windowsml-2.4.89-py3-none-win_arm64.whl 442.0 kB Sep 22, 2026	Python 3	none	Windows ARM64	Details
windowsml-2.4.89-py3-none-win_amd64.whl 441.4 kB Sep 22, 2026	Python 3	none	Windows x86-64	Details

Total release size: 883.4 kB

Release files / windowsml-2.4.89-py3-none-win_arm64.whl

Download URL	windowsml-2.4.89-py3-none-win_arm64.whl
Size	442.0 kB
Tags	Python 3 Windows ARM64
SHA-256 checksum How to use checksums	`763d7ee475f6f5d1e61d943527b1404bff6f6854ef6397045953e3eb1a81db62`
BLAKE2b-256 checksum How to use checksums	`a6fac10bc670dc30b2fc077ffaeba8a87ec6e667d6903412824881aaf290c1e7`
Upload date	Sep 22, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`RestSharp/106.13.0.0`

Release files / windowsml-2.4.89-py3-none-win_amd64.whl

Download URL	windowsml-2.4.89-py3-none-win_amd64.whl
Size	441.4 kB
Tags	Python 3 Windows x86-64
SHA-256 checksum How to use checksums	`fd39cf8062f3fc866bedee871177b57b286c5f6ef3aba3cf7fd1f80c92338078`
BLAKE2b-256 checksum How to use checksums	`33772973097b546045eafb3a1aaee61f5b74a2572c12910c3adfbd3a186095a2`
Upload date	Sep 22, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`RestSharp/106.13.0.0`