objc2-core-ml

v0.3.2 Growing

Bindings to the CoreML framework

Zlib OR Apache-2.0 OR MIT Edition 2021 MSRV 1.71

API bindings Development tools::FFI External FFI bindings Operating systems::macOS APIs #apple#ios#cocoa#framework#macos

GitHub ↗ crates.io ↗ Compare with…

Quick Verdict

!Pre-1.0: API may have breaking changes
✓Permissive license (Zlib OR Apache-2.0 OR MIT)

Security

Checking security advisories...

Downloads

33.2K

Dependents

Releases

Size

36KB

Deep Insights

📊

Stable downloads

6.0K downloads in the last 30 days (200/day). Volume is roughly flat compared to the previous period.

👤

Prolific maintainer

The primary maintainer publishes 232 crates. This suggests deep Rust expertise and long-term commitment to the ecosystem.

🔬

Pre-1.0 for over a year

Despite being 1+ years old, objc2-core-ml hasn't reached 1.0 yet. Expect potential API changes between versions.

📐

Compact crate

At 35KB, objc2-core-ml is lightweight. Small crate size correlates with focused, well-scoped functionality.

🌟

Used by top crates

Notable dependents include objc2-core-image, objc2-vision, rustorch, ruvllm, objc2-natural-language. When high-quality crates choose objc2-core-ml, it's a strong quality signal.

Health Breakdown

Maintenance 9/25

Recency, release consistency, active ratio

Quality 17/25

Yanked ratio, deps, size, maturity, features

Community 13/20

Reverse deps, ownership, ecosystem

Popularity 5/15

Downloads, momentum, growth trend

Documentation 12/15

Docs, repo, license, metadata

Download Trend

Daily downloads · last 90 days

214/day avg-24%

Top Dependents

Most downloaded crates that depend on objc2-core-ml

objc2-natural-language

Version Adoption

v0.3.2

68%

v0.3.1

13%

v0.2.2

11%

v0.0.0

v0.3.0

Release Timeline

5 releasessince 2024

2024

2025

2026

Less

Feature Flags

default =["std", "MLAllComputeDevices", "MLArrayBatchProvider", "MLBatchProvider", "MLCPUComputeDevice", "MLComputeDeviceProtocol", "MLComputePlan", "MLComputePlanCost", "MLComputePlanDeviceUsage", "MLCustomLayer", "MLCustomModel", "MLDictionaryConstraint", "MLDictionaryFeatureProvider", "MLExport", "MLFeatureDescription", "MLFeatureProvider", "MLFeatureType", "MLFeatureValue", "MLFeatureValue_MLImageConversion", "MLGPUComputeDevice", "MLImageConstraint", "MLImageSize", "MLImageSizeConstraint", "MLImageSizeConstraintType", "MLKey", "MLMetricKey", "MLModel", "MLModelAsset", "MLModelCollection", "MLModelCollectionEntry", "MLModelConfiguration", "MLModelDescription", "MLModelError", "MLModelMetadataKeys", "MLModelStructure", "MLModelStructureNeuralNetwork", "MLModelStructureNeuralNetworkLayer", "MLModelStructurePipeline", "MLModelStructureProgram", "MLModelStructureProgramArgument", "MLModelStructureProgramBinding", "MLModelStructureProgramBlock", "MLModelStructureProgramFunction", "MLModelStructureProgramNamedValueType", "MLModelStructureProgramOperation", "MLModelStructureProgramValue", "MLModelStructureProgramValueType", "MLModel_MLComputeDevice", "MLModel_MLModelCompilation", "MLModel_MLState", "MLMultiArray", "MLMultiArrayConstraint", "MLMultiArrayShapeConstraint", "MLMultiArrayShapeConstraintType", "MLNeuralEngineComputeDevice", "MLNumericConstraint", "MLOptimizationHints", "MLParameterDescription", "MLParameterKey", "MLPredictionOptions", "MLReshapeFrequencyHint", "MLSequence", "MLSequenceConstraint", "MLSpecializationStrategy", "MLState", "MLStateConstraint", "MLTask", "MLUpdateContext", "MLUpdateProgressEvent", "MLUpdateProgressHandlers", "MLUpdateTask", "MLWritable", "bitflags", "block2", "objc2-core-graphics", "objc2-core-video", "objc2-image-io", "objc2-metal"]

std*MLKey*allocMLTask*block2*MLModel*MLState*MLExport*bitflags*MLSequence*MLWritable*MLImageSize*MLMetricKey*objc2-metal*MLModelAsset*MLModelError*MLMultiArray*MLUpdateTask*MLComputePlan*MLCustomLayer*MLCustomModel*MLFeatureType*MLFeatureValue*MLParameterKey*objc2-image-io*MLBatchProvider*MLModel_MLState*MLUpdateContext*MLModelStructure*objc2-core-video*MLComputePlanCost*MLFeatureProvider*MLImageConstraint*MLModelCollection*MLStateConstraint*MLCPUComputeDevice*MLGPUComputeDevice*MLModelDescription*MLAllComputeDevices*MLModelMetadataKeys*MLNumericConstraint*MLOptimizationHints*MLPredictionOptions*objc2-core-graphics*MLArrayBatchProvider*MLFeatureDescription*MLModelConfiguration*MLSequenceConstraint*unstable-darwin-objcMLImageSizeConstraint*MLUpdateProgressEvent*MLDictionaryConstraint*MLModelCollectionEntry*MLMultiArrayConstraint*MLParameterDescription*MLReshapeFrequencyHint*MLComputeDeviceProtocol*MLModelStructureProgram*MLModel_MLComputeDevice*MLComputePlanDeviceUsage*MLModelStructurePipeline*MLSpecializationStrategy*MLUpdateProgressHandlers*MLImageSizeConstraintType*MLModel_MLModelCompilation*MLDictionaryFeatureProvider*MLMultiArrayShapeConstraint*MLNeuralEngineComputeDevice*MLModelStructureProgramBlock*MLModelStructureProgramValue*MLModelStructureNeuralNetwork*MLModelStructureProgramBinding*MLModelStructureProgramArgument*MLModelStructureProgramFunction*MLMultiArrayShapeConstraintType*MLFeatureValue_MLImageConversion*MLModelStructureProgramOperation*MLModelStructureProgramValueType*MLModelStructureNeuralNetworkLayer*MLModelStructureProgramNamedValueType*