PyNWB is a Python package for working with NWB files. It provides a high-level API for efficiently working with Neurodata stored in the NWB format.

The Traits library is designed to enhance object-oriented programming in Python by providing a way to define and manage attributes of objects more effectively.

dask-jobqueue makes it easy to deploy Dask on common job queuing systems typically found in high performance supercomputers, academic research institutions, and other clusters, like PBS, Slurm, MOAB, SGE, LSF, and HTCondor.

This inspector is meant as a companion to the PyNWB validator, which checks for strict schema compliance. This tool attempts to apply some common sense to find components of the file that are technically compliant, but possibly incorrect, suboptimal in their representation, or deviate from best practices.

Mayavi is a general purpose, cross-platform tool for 2-D and 3-D scientific data visualization.

The pyjson-tricks package brings several pieces of functionality to python handling of JSON files:

• Store and load numpy arrays in human-readable format.

• Store and load class instances both generic and customized.

• Store and load date/times as a dictionary (including timezone).

• Preserve map order using OrderedDict.

• Allow for comments in json files by starting lines with #.

• Sets, complex numbers, Decimal, Fraction, enums, compression, duplicate keys, pathlib Paths, bytes, ...

As well as compression and disallowing duplicate keys.

This package provides an implementation of chunked, compressed, N-dimensional arrays for Python.

This package provides classes and functions for performing customizable robust ICA.

Estimate and track carbon emissions from your computer, quantify and analyze their impact.

Envisage is a Python-based framework for building extensible applications, that is, applications whose functionality can be extended by adding 'plug-ins. Envisage provides a standard mechanism for features to be added to an application, whether by the original developer or by someone else. In fact, when you build an application using Envisage, the entire application consists primarily of plug-ins. In this respect, it is similar to the Eclipse and Netbeans frameworks for Java applications.

scatterd is a Python package for easy and fast creation of beautiful scatter plots.

Dask backend for Deisa.

distinctipy is a lightweight python package providing functions to generate colours that are visually distinct from one another.

treeplot is Python package to easily plot the tree derived from models such as decisiontrees, randomforest and xgboost.

This package introduces a function decorator preventing a function from being called more often than that allowed by the API provider. This should prevent API providers from banning your applications by conforming to their rate limits.

xsData is a complete data binding library for python allowing developers to access and use XML and JSON documents as simple objects rather than using DOM. The included XML and JSON parser/serializer are highly optimized and adaptable, with multiple handlers and configuration properties. xsData is constantly tested against the W3C XML Schema 1.1 test suite.

The apptools project provides a set of packages that Enthought has found useful in creating a number of applications. It includes features such as a filesystem abstraction, convenience functions for creating loggers, or an application preference manager.

Click is a package for creating powerful and beautiful command line interfaces (CLI) in Python, but it has no the functionality for creating option groups. The aim of this package is to provide group options with extensible functionality using canonical and clean API (Click-like API as far as possible).

The TraitsUI project provides a toolkit-independent GUI abstraction layer, which is used to support the “visualization” features of the Traits package. You can write a model using the Traits API and specify a GUI using the TraitsUI API (views, items, editors, etc.), and let TraitsUI and your selected toolkit back-end (Qt or Wx) take care of the details of displaying them.

Table logger using Rich, aimed at PyTorch Lightning logging.

Features

• display your training logs with pretty rich tables

• describe your fields with goal, format and name

• a field descriptor can be matched with any regex

• a field name can be computed as a regex substitution

• works in Jupyter notebooks as well as in a command line

• integrates easily with Pytorch Lightning

Confit is a complete and easy-to-use configuration framework aimed at improving the reproducibility of experiments by relying on the Python typing system, minimal configuration files and command line interfaces.

The h5pyd library provides a high-level interface to the REST specification that is generally easier to use than invoking HTTP calls directly.

This package provides a lightweight way in Python to import and export R datasets/objects stored in the .rda and .rds formats.

Wildcard Match provides an enhanced fnmatch, glob, and pathlib library in order to provide file matching and globbing that more closely follows the features found in Bash.