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ParaMonte is a serial and parallel library of Monte Carlo routines for sampling mathematical density functions of arbitrary dimensions and machine learning algorithms for scientific inference. It is designed for interoperability with C, C++, Fortran, MATLAB and Python, and supports shared-memory OpenMP threads and MPI distributed communications.
Pastalog is a realtime visualization server for neural network training performance. It works with Lasagne, Keras, Tensorflow, Torch, Theano and other frameworks. Data can be logged through a Python API, a Torch wrapper, or POST requests, and logged metrics update in real time at localhost.
Pattern is a web mining module for Python with tools for data mining, natural language processing, machine learning, and network analysis and visualization. The repository is archived and no longer maintained, receiving no further updates, bug fixes or security patches.
PDF Arranger is a small python-gtk application that merges or splits PDF documents and rotates, crops and rearranges their pages through a graphical interface. It is a front end for pikepdf and a fork of PDF-Shuffler. It supports image file import if img2pdf is installed.
Petastorm is a library developed by Uber for deep learning model training and evaluation. It supports single-machine and distributed workflows with datasets in Apache Parquet format, is compatible with TensorFlow, PyTorch, and PySpark, and can be used via pure Python code.
pgmpy is a Python toolkit for causal and probabilistic reasoning using graphical models. It implements data structures for models such as DAGs, PDAGs, MAGs, PAGs, Bayesian Networks, Dynamic Bayesian Networks and Structural Equation Models, with algorithms for tasks including causal discovery, causal identification, inference, model validation, parameter estimation and simulations. Algorithms follow a unified composable API and are scikit-learn compatible when possible. It is available on PyPI and conda.
Ploomber is a tool for building data pipelines. It offers a YAML API and a Python API, and its features include caching previous pipeline results and running on Kubernetes, Airflow, AWS Batch or SLURM. It can convert monolithic notebooks into modular pipelines. The repository was archived on Jul 12, 2025 and is read-only.
Hidden Markov Models for Python, implemented in Cython for speed and efficiency.
ProperTree is a cross-platform GUI plist editor written in Python and Tkinter. It offers document-based multiple windows, node drag and drop, find and replace, ordered or unordered dictionary support, an undo-redo stack, and context-aware right-click menus with templates for OpenCore or Clover configuration files.
Open-source, low-code machine learning library in Python that automates machine learning workflows.
Multidimensional cluster generation in Python.
PyCM is a multi-class confusion matrix library written in Python. It supports input data vectors and direct matrices and offers post-classification model evaluation statistics. It is aimed at data scientists needing metrics for predictive models and classifiers. A MATLAB setup is also documented.
Pycord is a modern, easy to use, feature-rich, and async ready API wrapper for Discord written in Python
Pydantic AI is a Python AI SDK described as a typed, extensible agent loop that works with any model. It covers agents, realtime voice, image generation and embeddings. Separate packages include Pydantic Evals, Pydantic Graph, genai-prices and Monty. The repository is MIT licensed.
Pyload is a free, open-source download manager written in pure Python. It is hosted as the pyload/pyload repository on GitHub, with repository sections including a project overview, introduction, and quick start guide.
PyNLPl, pronounced "pineapple", is a Python library for natural language processing. It includes modules for common and less common NLP tasks, such as n-gram and frequency list extraction, simple language model building, parsers for common NLP file formats including FoLiA, Giza, Moses, ARPA, Timbl and CQL, clients for NLP-specific servers, and extensive tools for working with FoLiA XML linguistic annotation.
PyOD is an open-source Python library hosted on GitHub for anomaly detection across tabular, time series, graph, text, image and audio data. It includes over 60 anomaly detectors, an ADEngine orchestration tool, and supports agentic workflows for use with AI agents.
PyPaperBot is a Python tool for downloading scientific papers using Google Scholar, Crossref, SciHub, and SciDB.
PyStanfordDependencies is a Python interface for converting Penn Treebank trees to Stanford Dependencies and Universal Dependencies. It offers a get_instance() function with subprocess or jpype backends, and convert_tree() or convert_trees() methods returning Token objects. Visualization options include asciitree, Graphviz dotgraphs, and interactive xdot windows. A Stanford CoreNLP or Parser jar file can be supplied, or downloaded automatically.
A Python library for secure and private Deep Learning built on PyTorch and TensorFlow.
PyTorch is a Python package providing tensor computation with strong GPU acceleration and deep neural networks built on a tape-based autograd system. It includes components such as torch, torch.autograd, torch.nn, and torch.utils, and can be used as a NumPy replacement or a deep learning research platform.
A Python 3.7 compatible implementation of the Twitch API, EventSub and Chat
PyVarInf is a Python package that facilitates the use of Bayesian deep learning methods with variational inference for PyTorch, providing facilities to train PyTorch neural network models using variational inference. It approximates the posterior distribution over network weights with a parametric distribution.
A python framework to transform natural language questions to queries in a database query language.
