The osfclient is a python library and a command-line client for up- and downloading files to and from Open Science Framework projects. The OSF is an open source project which facilitates the open collaboration of researchers on the web, by sharing data and other research outputs.

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.

AlgoPy provides a functionality to differentiate functions implemented as computer programs by using Algorithmic Differentiation (AD) techniques in the forward and reverse mode.

The forward mode propagates univariate Taylor polynomials of arbitrary order. Hence it is also possible to use AlgoPy to evaluate higher-order derivative tensors. The reverse mode is also known as backpropagation and can be found in similar form in tools like PyTorch. Speciality of AlgoPy is the possibility to differentiate functions that contain matrix functions as +,-,*,/, dot, solve, qr, eigh, cholesky.

This is a Python implementation of the APTED algorithm,which supersedes the RTED algorithm for computing the tree edit distance.

PyAMG is a Python library of Algebraic Multigrid (AMG) solvers. It features implementations of:

• Ruge-Stuben (RS) or Classical AMG

• AMG based on Smoothed Aggregation (SA)

• Adaptive Smoothed Aggregation (αSA)

• Compatible Relaxation (CR)

• Krylov methods such as CG, GMRES, FGMRES, BiCGStab, MINRES, etc.

Pint is a Python package to define, operate and manipulate physical quantities: the product of a numerical value and a unit of measurement. It allows arithmetic operations between them and conversions from and to different units.

This package provides tools to easily search and download French data from INSEE and IGN APIs. This data includes more than 150 000 macroeconomic series, a dozen datasets of local french data, numerous sources available on insee.fr, geographical limits of administrative areas taken from IGN as well as key metadata and SIRENE database containing data on all French compagnies.

Pingouin is a statistical package written in Python 3 and based mostly on Pandas and NumPy. Its features include

• ANOVAs: N-ways, repeated measures, mixed, ancova

• Pairwise post-hocs tests (parametric and non-parametric) and pairwise correlations

• Robust, partial, distance and repeated measures correlations

• Linear/logistic regression and mediation analysis

• Bayes Factors

• Multivariate tests

• Reliability and consistency

• Effect sizes and power analysis

• Parametric/bootstrapped confidence intervals around an effect size or a correlation coefficient

• Circular statistics

• Chi-squared tests

• Plotting: Bland-Altman plot, Q-Q plot, paired plot, robust correlation, and more

This package provides Python bindings for the Boost::Histogram library, one of the fastest libraries for histogramming.

This is a package for image processing with Dask arrays. Features:

• Provides support for loading image files.

• Implements commonly used N-D filters.

• Includes a few N-D Fourier filters.

• Provides some functions for working with N-D label images.

• Supports a few N-D morphological operators.

This package provides a Python wrapper around Fabio Crameri's perceptually uniform colormaps for scientific data visualization.

This package is an implementation of the Promises/A+ specification and test suite in Python.

The CMasher package provides a collection of scientific colormaps and utility functions to be used by different Python packages and projects, mainly in combination with Matplotlib. It offers several alternatives to commonly used colormaps, like chroma and rainforest for jet; sunburst for hot; neutral for binary; and fusion and redshift for coolwarm.

Dask is a flexible parallel computing library for analytics. It consists of two components: dynamic task scheduling optimized for computation, and large data collections like parallel arrays, dataframes, and lists that extend common interfaces like NumPy, Pandas, or Python iterators to larger-than-memory or distributed environments. These parallel collections run on top of the dynamic task schedulers.

This package implements a functionality to tell whether two images look nearly identical. The image hash algorithms (average, perceptual, difference, wavelet) analyse the image structure on luminance (without color information). The color hash algorithm analyses the color distribution and black & gray fractions (without position information).

Features:

• average hashing

• perceptual hashing

• difference hashing

• wavelet hashing

• HSV color hashing (colorhash)

• crop-resistant hashing

Particle provides a pythonic interface to the Particle Data Group (PDG) particle data tables and particle identification codes, with extended particle information and extra goodies.

pykdtree is a kd-tree implementation for fast nearest neighbour search in Python.

The SciPy library is one of the core packages that make up the SciPy stack. It provides many user-friendly and efficient numerical routines such as routines for numerical integration and optimization.

openid-cla is an implementation of the OpenID contributor license agreement extension for python-openid.

This package provides a URI Normalization function with following features:

• take care of IDN domains

• always provide the URI scheme in lowercase characters

• always provide the host, if any, in lowercase characters

• only perform percent-encoding where it is essential

• always use uppercase A-through-F characters when percent-encoding

• prevent dot-segments appearing in non-relative URI paths

• for schemes that define a default authority, use an empty authority if the default is desired

• for schemes that define an empty path to be equivalent to a path of /, use /

• for schemes that define a port, use an empty port if the default is desired

• all portions of the URI must be utf-8 encoded NFC from Unicode strings

tinycss2 can parse strings, return Python objects representing tokens and blocks, and generate CSS strings corresponding to these objects.

Based on the CSS Syntax Level 3 specification, tinycss2 knows the grammar of CSS but doesn’t know specific rules, properties or values supported in various CSS modules.

Plaster is a loader interface around multiple config file formats. It exists to define a common API for applications to use when they wish to load configuration. The library itself does not aim to handle anything except a basic API that applications may use to find and load configuration settings. Any specific constraints should be implemented in a pluggable loader which can be registered via an entrypoint.

dicomweb_client provides client intefaces for DICOMweb RESTful services QIDO-RS, WADO-RS and STOW-RS to search, retrieve and store DICOM objects over the web, respectively.

This package provides a Python Software Development Kit for the Model Context Protocol (MCP).