This package implements a functionality to work with Nested sampling, a popular numerical method for Bayesian computation, which simultaneously generates samples from the posterior distribution and an estimate of the Bayesian evidence for a given likelihood and prior. nestcheck provides Python utilities for analysing samples produced by nested sampling, and estimating uncertainties on nested sampling calculations (which have different statistical properties to calculations using other numerical methods).

nibabel is a library that provides read and write access to common neuroimaging file formats, including: ANALYZE (plain, SPM99, SPM2 and later), GIFTI, NIfTI1, NIfTI2, CIFTI-2, MINC1, MINC2, AFNI BRIK/HEAD, ECAT and Philips PAR/REC. In addition, NiBabel also supports FreeSurfer’s MGH, geometry, annotation and morphometry files, and provides some limited support for DICOM.

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.

Baycomp is a library for Bayesian comparison of classifiers. Functions in the library compare two classifiers on one or on multiple data sets. They compute three probabilities: the probability that the first classifier has higher scores than the second, the probability that differences are within the region of practical equivalence (rope), or that the second classifier has higher scores.

This package provides a Python library for working with NeuroML descriptions of neuronal models

PyVista is...

• Pythonic VTK: a high-level API to the Visualization Toolkit (VTK);

• mesh data structures and filtering methods for spatial datasets;

• 3D plotting made simple and built for large/complex data geometries.

This package provides a Pythonic, well-documented interface exposing VTK's powerful visualization backend to facilitate rapid prototyping, analysis, and visual integration of spatially referenced datasets.

This package provides optimized tools for group-indexing operations: aggregated sum and more.

pyfma provides an implementation of fused multiply-add which computes (x*y) + z with a single rounding. This is useful for dot products, matrix multiplications, polynomial evaluations (e.g., with Horner's rule), Newton's method for evaluating functions, convolutions, artificial neural networks etc.

Vector is a Python library for 2D and 3D spatial vectors, as well as 4D space-time vectors. It is especially intended for performing geometric calculations on arrays of vectors, rather than one vector at a time in a Python for loop.

fgivenx is a Python package for plotting posteriors of functions. It is currently used in astronomy, but will be of use to any scientists performing Bayesian analyses which have predictive posteriors that are functions.

This package allows one to plot a predictive posterior of a function, dependent on sampled parameters. It assumes one has a Bayesian posterior Post(theta|D,M) described by a set of posterior samples theta_i~Post. If there is a function parameterised by theta y=f(x;theta), then this script will produce a contour plot of the conditional posterior P(y|x,D,M) in the (x,y) plane.

Modin uses Ray or Dask to provide an effortless way to speed up your pandas notebooks, scripts, and libraries. Unlike other distributed DataFrame libraries, Modin provides seamless integration and compatibility with existing pandas code.

Marsilea is a Python library for creating composable visualizations in a declarative way. It is built on top of Matplotlib and provides a high-level API for you to puzzle different visualizations together like logo.

Quantities is designed to handle arithmetic and conversions of physical quantities, which have a magnitude, dimensionality specified by various units, and possibly an uncertainty. It builds on the NumPy library and is designed to work with numpy.ufuncs, many of which are already supported.

GRequests is a Python library that allows you to use Requests with Gevent to make asynchronous HTTP Requests easily.

This package provides an efficient library to read from new and old format .conda and .tar.bz2 conda packages.

This package provides utilities to merge, minify and compress Javascript and CSS files,supporting a variety of different filters, including YUI, jsmin, jspacker or CSS tidy. It also supports URL rewriting in CSS files.

This package provides a fast Python iterable JSON parser, backed by Rust libraries.

MechanicalSoup is a Python library for automating interaction with websites. It automatically stores and sends cookies, follows redirects, and can follow links and submit forms. It doesn’t do JavaScript.

This package is mostly just a wrapper combining the great work of boto3 and aiobotocore.

This package provides Mako template bindings for the Pyramid web framework.

The sendgrid Python library allows access to the SendGrid Web API v3. Version 3+ of the library provides full support for all SendGrid Web API v3 endpoints, including the new v3 /mail/send.

uvicorn is a fast ASGI server implementation, using uvloop and httptools. It currently supports HTTP/1.1 and WebSockets. Support for HTTP/2 is planned.

This Python library provides tools to deal with email and mailboxes over IMAP:

• Parsed email message attributes

• Query builder for searching emails

• Work with emails in folders (copy, delete, flag, move, seen)

• Work with mailbox folders (list, set, get, create, exists, rename, delete, status)

This library implements both server and client aspects of the the WebSocket protocol, striving for safety, correctness, and ergonomics. It is based on the wsproto project, which is a Sans-IO state machine that implements the majority of the WebSocket protocol, including framing, codecs, and events. This library handles I/O using the Trio framework.