Scikit-survival is a Python module for survival analysis built on top of scikit-learn. It allows doing survival analysis while utilizing the power of scikit-learn, e.g., for pre-processing or doing cross-validation.
This is a HTTPS client implementation for httplib and urllib2 based on PyOpenSSL. PyOpenSSL provides a more fully-featured SSL implementation over the default provided with Python and, importantly, enables full verification of the SSL peer.
Pypika-tortoise is a fork of pypika which has been streamlined for its use in the context of tortoise-orm. It removes support for many database kinds that tortoise-orm doesn't need, for example.
Pypika-tortoise is a fork of pypika which has been streamlined for its use in the context of tortoise-orm. It removes support for many database kinds that tortoise-orm doesn't need, for example.
This package aims to simplify working with genomic region / interval data by providing a common interface that lets you access a wide selection of file types and formats for handling genomic region data---all using the same syntax.
Sanic is a Python web server and web framework that's written to go fast. It allows the usage of the async/await syntax added in Python 3.5, which makes your code non-blocking and speedy.
Readme Renderer is a library that will safely render arbitrary README files into HTML. It is designed to be used in Warehouse to render the long_description for packages. It can handle Markdown, reStructuredText, and plain text.
This package contains a collection of plugins for markdown-it-py like:
amsmath,
attrs,
container,
definition list,
dollarmath,
field list,
footnote,
textmath, and
wordcount.
Xapian is a highly adaptable toolkit which allows developers to easily add advanced indexing and search facilities to their own applications. It supports the Probabilistic Information Retrieval model and also supports a rich set of boolean query operators.
Python library and command line tool for configuring a YubiKey. Note that after installing this package, you might still need to add appropriate udev rules to your system configuration to be able to configure the YubiKey as an unprivileged user.
The aim of this package is to unify the plethora of existing packages integrating SQLAlchemy with Zope's transaction management. As such,it only provides a data manager and makes no attempt to define a zopeish way to configure engines.
The Python Language Server pylsp is an implementation of the Python 3 language specification for the Language Server Protocol (LSP). This tool is used in text editing environments to provide a complete and integrated feature-set for programming Python effectively.
This package provides Python bindings for the freecell-solver package. Freecell Solver is a program that automatically solves layouts of Freecell and similar variants of Card Solitaire such as Eight Off, Forecell, and Seahaven Towers, as well as Simple Simon boards.
The casa-formats-io package is a small package which implements functionality to read data stored in CASA formats (such as .image datasets). This implementation is independent of and does not use casacore.
Scikit-Optimize, or skopt, is a simple and efficient library to minimize (very) expensive and noisy black-box functions. It implements several methods for sequential model-based optimization. skopt aims to be accessible and easy to use in many contexts.
This package provides a Cleaner for cleaning up HTML pages. It supports removing embedded or script content, special tags and CSS style annotations among other features. Its main purpose is removing superfluous content, it is not appropriate for security sensitive environments.
This ModernGL utility library simplifies window creation and resource loading. You can create a window for ModernGL using pyglet, pygame, PySide2, GLFW, SDL2, PyQt5 or tkinter. Events are unified into a single event system. Resource loading includes loading of 2D textures/texture arrays, shaders and objects/scenes.
Beautiful Soup is a Python library designed for rapidly setting up screen-scraping projects. It offers Pythonic idioms for navigating, searching, and modifying a parse tree, providing a toolkit for dissecting a document and extracting what you need. It automatically converts incoming documents to Unicode and outgoing documents to UTF-8.
This package provides metadata objects which can be used to represent common constraints such as upper and lower bounds on scalar values and collection sizes, a Predicate marker for runtime checks, and descriptions of how we intend these metadata to be interpreted. In some cases, we also note alternative representations which do not require this package.
This simple Django utility allows you to utilize the 12factor inspired DATABASE_URL environment variable to configure your Django application.
The dj_database_url.config method returns a Django database connection dictionary, populated with all the data specified in your URL. There is also a conn_max_age argument to easily enable Django’s connection pool.
SocksiPy - A Python SOCKS client module. It provides a socket-like interface that supports connections to any TCP service through the use of a SOCKS4, SOCKS5 or HTTP proxy. The original version was developed by Dan Haim, this is a branch created by Mario Vilas to address some open issues,as the original project seems to have been abandoned circa 2007.
Pytest-examples provides functionality for testing Python code examples in docstrings and markdown files, with its main features being:
lint code examples using ruff and black
run code examples
run code examples and check print statements are inlined correctly in the code
It can also update code examples in place to format them and insert or update print statements
Xarray (formerly xray) makes working with labelled multi-dimensional arrays simple, efficient, and fun!
Xarray introduces labels in the form of dimensions, coordinates and attributes on top of raw NumPy-like arrays, which allows for a more intuitive, more concise, and less error-prone developer experience. The package includes a large and growing library of domain-agnostic functions for advanced analytics and visualization with these data structures.
This package provides a Python library for building and analyzing recommender systems that deal with explicit rating data. It was designed with the following purposes in mind:
Provide tools to handle downloaded or user-provided datasets.
Provide ready-to-use prediction algorithms and similarity measures.
Provide a base for creating custom algorithms.
Provide tools to evaluate, analyse and compare algorithm performance.
Provide documentation with precise details regarding library algorithms.