Developer tools
Libraries and tools for building with AI on Apple silicon.
Runs on your MacHugging FaceTransformersHugging Face's Python framework of model definitions to load, run and train text, vision, audio and multimodal models.
ViewRuns on your MacAstraluvA fast Python package and project manager written in Rust; installs Python, tools like mlx-lm and their dependencies.
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ViewRuns on your MacAstraluvA fast Python package and project manager written in Rust; installs Python, tools like mlx-lm and their dependencies.ViewAll Dev tools
Best MLX Score first.
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1TransformersHugging Face's Python framework of model definitions to load, run and train text, vision, audio and multimodal models. 4.7View2uvA fast Python package and project manager written in Rust; installs Python, tools like mlx-lm and their dependencies. 4.7View3
LiteLLMA Python library and self-hosted gateway that calls 100+ model providers, local or cloud, through one OpenAI-format API. 4.0View4MLXApple's array framework for machine learning on Apple silicon, the base that MLX models and tools are built on. 3.5View5
Hugging Face CLI (hf)The `hf` command and huggingface_hub library: sign in, download and upload models and datasets on the Hugging Face Hub. 2.7View6Core ML ToolsApple's Python package for converting PyTorch and TensorFlow models to Core ML, to run them in Mac and iPhone apps. 2.5View7MLX-AudioText-to-speech, speech-to-text and speech-to-speech on Apple silicon with MLX, as a Python package and command line. 2.5View8LLMA command line tool and Python library for prompting OpenAI, Claude, Gemini and local models, with plugins and a log. 2.2View9MLX-VLMRun and fine-tune vision language models on a Mac with MLX, from Python, the command line, a chat UI or a local server. 2.1View10MLX SwiftThe Swift API for MLX, to build machine learning into Mac, iPhone, iPad and Vision Pro apps with Swift Package Manager. 1.4View11MLX Swift LMA Swift package for running and fine-tuning language and vision models with MLX in your own Mac and iPhone apps. 1.0View
TransformersHugging Face's Python framework of model definitions to load, run and train text, vision, audio and multimodal models. 4.7View2uvA fast Python package and project manager written in Rust; installs Python, tools like mlx-lm and their dependencies. 4.7View3LiteLLMA Python library and self-hosted gateway that calls 100+ model providers, local or cloud, through one OpenAI-format API. 4.0View4MLXApple's array framework for machine learning on Apple silicon, the base that MLX models and tools are built on. 3.5View5Hugging Face CLI (hf)The `hf` command and huggingface_hub library: sign in, download and upload models and datasets on the Hugging Face Hub. 2.7View6Core ML ToolsApple's Python package for converting PyTorch and TensorFlow models to Core ML, to run them in Mac and iPhone apps. 2.5View7MLX-AudioText-to-speech, speech-to-text and speech-to-speech on Apple silicon with MLX, as a Python package and command line. 2.5View8LLMA command line tool and Python library for prompting OpenAI, Claude, Gemini and local models, with plugins and a log. 2.2View9MLX-VLMRun and fine-tune vision language models on a Mac with MLX, from Python, the command line, a chat UI or a local server. 2.1View10MLX SwiftThe Swift API for MLX, to build machine learning into Mac, iPhone, iPad and Vision Pro apps with Swift Package Manager. 1.4View11MLX Swift LMA Swift package for running and fine-tuning language and vision models with MLX in your own Mac and iPhone apps. 1.0View