Enter the query into the form above. You can look for specific version of a package by using @ symbol like this: gcc@10.
API method:
GET /api/packages?search=hello&page=1&limit=20
where search is your query, page is a page number and limit is a number of items on a single page. Pagination information (such as a number of pages and etc) is returned
in response headers.
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Backport of pathlib ABCs.
Chaco is a Python package for building interactive and custom 2-D plots and visualizations. Chaco facilitates writing plotting applications at all levels of complexity, from simple scripts with hard-coded data to large plotting programs with complex data interrelationships and a multitude of interactive tools. While Chaco generates attractive static plots for publication and presentation, Chaco differs from tools like Matplotlib in that it also works well for dynamic interactive data visualization and exploration.
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.
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.
This package provides classes and functions for performing customizable robust ICA.
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.
Bracex is a brace expanding library (à la Bash) for Python. Brace expanding is used to generate arbitrary strings.
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 a hierarchical data modeling framework for modern science data standards.
Compute a single hash of the file contents of a directory.
This package provides tools for automated download of UMLS data.
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.
Easily pick a place to store data for your Python code.
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
distinctipy is a lightweight python package providing functions to generate colours that are visually distinct from one another.
Discrete Fourier Transform with xarray.
Python Bindings for the NVIDIA Management Library.
h5io is a package designed to facilitate saving some standard Python objects into the forward-compatible HDF5 format. It is a higher-level package than h5py.
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 provides a flexible utility for flattening and unflattening dict-like objects in Python.
Quantities is designed to handle arithmetic and conversions of physical quantities, which have a magnitude, dimensionality specified by various units, and possibly an uncertainty.
This package provides functions for 3D coordinate transformations.
This package provides utilities for downloading several URL as one, as well as supporting multi-part URLs.