Packages
MkDocs plugin that makes section headers clickable by merging an index page into the section itself, allowing sections to function as both navigation containers and destination pages.
Install it if you use material, readthedocs, or nature themes and want clickable section headers.
A MkDocs plugin that lets you define custom hooks directly in your project without creating a separate plugin package.
A spell checker plugin for MkDocs that validates spelling in generated HTML pages using pluggable backends like codespell or symspellpy.
However, the aging maintenance status and explicit statement that the maintainer is dedicating effort elsewhere means you should be prepared to fork or switch if…
A MkDocs plugin that adds static multi-language support to documentation sites by managing localized markdown files and assets with minimal configuration.
A MkDocs plugin that embeds Swagger UI directly into documentation pages to display OpenAPI specifications, supporting both remote URLs and local files.
A MkDocs plugin that inserts tables from external files (CSV, JSON, Excel, YAML, and others) directly into markdown pages using template tags like `{{ read_csv('table.csv') }}`.
However, note the aging maintenance status (715 days since last release)—suitable for stable workflows but not for projects requiring active upstream support or…
A MkDocs plugin that scans Markdown files for TODO, NOTE, and PLACEHOLDER annotations and automatically generates an organized task list.
However, note that maintenance is aging (last release over a year ago), so consider whether you're comfortable with a package that may not receive rapid updates.
Bundles Spotify's TechDocs defaults—themes, plugins, and Markdown extensions—into a single MkDocs plugin for documentation generation.
A MkDocs plugin that embeds videos in documentation pages using Markdown image syntax with a configurable marker and HTML5 video or iframe output.
However, be aware the project is abandoned; install it only if you can tolerate no future updates and your MkDocs version and video needs are unlikely to change…
Generates a single PDF file from an MkDocs documentation site, with automatic table of contents, cover page, and heading numbering.
Install it if you need PDF export from MkDocs and are willing to accept dormant maintenance.
An MkDocs plugin that automatically generates API documentation from source code docstrings, supporting multiple programming languages through pluggable handlers.
Install it if you use MkDocs and want to automate API documentation from source code; you'll also need to install a language handler for your target language.
Generates API documentation for Python projects by parsing source code and docstrings, integrating with mkdocstrings to produce searchable, cross-referenced documentation.
Install it if you use mkdocstrings and want to document Python code automatically.
A legacy Python documentation handler for mkdocstrings that extracts and renders API documentation from Python source code, docstrings, and type annotations into MkDocs sites.
Intel oneAPI Math Kernel Library provides optimized C and Data Parallel C++ interfaces for high-performance mathematical computing on Intel CPUs and GPUs.
Provides C and Data Parallel C++ (DPC++) interfaces to Intel oneAPI Math Kernel Library for optimized mathematical computations on Intel CPUs and GPUs.
Provides C and Data Parallel C++ interfaces to Intel's oneAPI Math Kernel Library for optimized mathematical computing on Intel CPUs and GPUs.
Provides dict-like configuration data structures with dot-notation access, type safety, and lazy evaluation for ML experiment and model configuration.
ml_dtypes provides NumPy-compatible data types for machine learning, including bfloat16, multiple 8-bit and 4-bit floating-point formats, and narrow integer encodings (1, 2, and 4-bit).
Measures and monitors the productive utilization (Goodput) and idle time (Badput) of ML training jobs running on cloud accelerators, logging metrics to Google Cloud and exporting analysis to TensorBoard.
However, verify the license status before use in proprietary contexts, and confirm that your GCP project and cluster access scopes are properly configured—setup is…
Provides Python access to MLB's Stats API, allowing you to query baseball statistics, game data, player information, and other MLB-related data programmatically.
Validates and loads datasets described in the MLCommons Croissant JSON-LD format, converting metadata into Python representations for static and dynamic analysis.
Serializes and deserializes machine learning pipelines to a portable Bundle.ML format for cross-platform deployment and execution.
MLflow is an open-source platform for managing the complete lifecycle of machine learning and AI applications, including experiment tracking, model evaluation, deployment, LLM observability, and prompt management.
mlflow-skinny is a lightweight client library for MLflow that enables experiment tracking, model logging, and observability for AI and ML applications without bundling SQL storage, a server, or data science dependencies.
Instrument GenAI applications with distributed tracing to log execution flows, spans, and metadata to MLflow backends for observability and monitoring.
Install only if you have access to a remote MLflow backend (Databricks, SageMaker, Nebius, or self-hosted); local-only tracing is not supported.
mlforecast trains machine learning models on time series data and generates forecasts, with built-in support for feature engineering, multiple models, and distributed training across remote clusters.
MLServer is an open-source inference server that exposes machine learning models through REST and gRPC APIs compliant with the KFServing V2 Dataplane specification, supporting multi-model serving, adaptive batching, and parallel inference.
However, the aging maintenance status warrants checking whether security patches and bug fixes align with your production requirements.
Provides a MLServer runtime that loads and serves MLflow models, enabling MLflow-serialized models to run as inference endpoints with support for dictionary-based tensor inputs.
However, the aging maintenance status (434 days since release) means you should verify that the package's feature set matches your MLflow and MLServer versions before…
MLTable provides fast, flexible data loading and schema abstraction for tabular data from CSV, parquet, delta lake, and JSON-lines files, materializing them into Pandas DataFrames.
However, verify the proprietary license terms for your use case—it is designed for Azure ML contexts and may have restrictions outside that ecosystem.
MLX is an array framework for machine learning on Apple silicon that provides NumPy-like Python APIs, automatic differentiation, lazy computation, and unified memory across CPU and GPU devices.
MLX-Audio provides text-to-speech, speech-to-text, and speech-to-speech inference optimized for Apple Silicon, with support for multiple model architectures and multilingual capabilities.
MLX LM loads, generates text with, fine-tunes, and quantizes large language models on Apple silicon using the MLX framework and Hugging Face Hub integration.
MLX-VLM runs vision language models and omni models (with audio and video support) for inference and fine-tuning on Mac hardware using MLX, with CLI, Python, FastAPI server, and Gradio UI interfaces.
Runs OpenAI's Whisper speech recognition models on Apple silicon using MLX, with support for models ranging from 39 million to 1.5 billion parameters.
Mlxtend provides ensemble methods, feature selection, visualization utilities, and frequent pattern mining algorithms for machine learning workflows.
Install it if you need these specific capabilities.
Provides native Python and C++ bindings to parse, read, and manipulate mmCIF (macromolecular Crystallographic Information File) data structures and dictionaries.
Provides a pure Python interface to read, parse, and work with PDBx/mmCIF molecular structure data files from the Protein Data Bank.
MMCV is a foundational library for computer vision that provides image and video processing, visualization, data transformation, CNN architectures, and optimized CPU/CUDA operations.
However, install it only if you need its specific utilities—high install friction (source builds are common), aging maintenance (842 days since last release), and no…
Generates MaxMind DB (MMDB) format files from IP networks and associated data, compatible with MaxMind's official language readers.
MMDetection is an object detection and instance segmentation framework built on PyTorch that provides modular, pre-trained detection models and tools for training and inference on custom datasets.
However, maintenance is dormant (last release 2024-01-05), so expect no new features or bug fixes—use it only if the current stable version meets your needs.