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

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.

Bracex is a brace expanding library (à la Bash) for Python. Brace expanding is used to generate arbitrary strings.

This package provides a flexible utility for flattening and unflattening dict-like objects in Python.

This package provides a Zarr I/O backend for the HDMF.

Dask backend for Deisa.

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

The Enable project provides two related multi-platform packages for drawing GUI objects.

• Enable: an object drawing library that supports containment and event notification.

• Kiva: a multi-platform DisplayPDF vector drawing engine.

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 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.

Donfig is a python library meant to make configuration easier for other python packages. Donfig can be configured programmatically, by environment variables, or from YAML files in standard locations.

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.

Pyface contains toolkit-independent GUI abstraction layers, used to support the TraitsUI package. Thus, you can write code in the abstraction of the Pyface API and the selected toolkit and backend take care of the details of displaying them.

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.

Discrete Fourier Transform with xarray.

Python meta-package for deisa-dask and deisa-ray.

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

This package provides a pure Python library to create SVG drawings.

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

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.

This package provides functions for 3D coordinate transformations.

Fief is an open-source platform to manage users and authentication in your applications.

Key features:

• Pre-built login and registration pages

• Users management dashboard

• SDK for the most popular languages and frameworks

• Integrations for the most popular no-code tools

This package provides a hierarchical data modeling framework for modern science data standards.

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.