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This library is designed to make it easy to write Python programs that can interact with Telegram.
The flatten_json Python library flattens the hierarchy in your object, which can be useful if you want to force your objects into a table.
python-schema is a library for validating Python data structures, such as those obtained from config-files, forms, external services or command-line parsing, converted from JSON/YAML (or something else) to Python data-types.
Hissp is a modular Lisp implementation that compiles to a functional subset of Python—Syntactic macro metaprogramming with full access to the Python ecosystem.
Jupyter core is the base package on which Jupyter projects rely.
This package provides a faster version of dbus-next.
This package provides a lightweight YAML Parser for Python. It supports only a chosen subset of the YAML format that is required to parse cookiecutter user configuration files. It does not have support for serializing into YAML and is not compatible with JSON.
This Python package provides progress reporting for visual of progress of long running operations. There are multiple choices of progress bars and spinners, with customizable options, such as width, fill character, and suffix.
python-pywatchman is a library to connect and query Watchman to discover file changes.
Redo provides various means to add seamless ability to retry to any Python callable.
This package provides a simple ASCII art pictures generator of a Snake with a message.
pybind11 is a lightweight header-only library that exposes C++ types in Python and vice versa, mainly to create Python bindings of existing C++ code. Its goals and syntax are similar to the Boost.Python library: to minimize boilerplate code in traditional extension modules by inferring type information using compile-time introspection.
This package provides a tool for generating OIDC, OpenID Connect identities.
logzero provides a fully configured Python logger object for easy logging and rotating to a console or a file.
The aim of the decorator module is to simplify the usage of decorators for the average programmer, and to popularize decorators usage giving examples of useful decorators, such as memoize, tracing, redirecting_stdout, locked, etc. The core of this module is a decorator factory.
Pywal is a tool that generates a color palette from the dominant colors in an image. It then applies the colors system-wide and on-the-fly in all of your favourite programs.
ExifRead is a Python library to extract EXIF data from tiff and jpeg files.
This package provides the python-box Python module. It implements advanced Python dictionaries with dot notation access.
Offlate offers a unified interface for different translation file formats, as well as many different online translation platforms. You can use it to get work from online platforms, specialized such as the Translation Project, or not such a gitlab instance when your upstream doesn't use any dedicated platform. The tool proposes a unified interface for any format and an upload option to send your work back to the platform.
This is a library that enables automated deprecations. It offers the deprecated() decorator to wrap functions, providing proper warnings both in documentation and via Python’s warnings system, as well as the deprecation.fail_if_not_removed() decorator for test methods to ensure that deprecated code is eventually removed.
Scikit-build is an improved build system generator for CPython C/C++/Fortran/Cython extensions. It has support for additional compilers, build systems, cross compilation, and locating dependencies and determining their build requirements. The scikit-build package is fundamentally just glue between the setuptools Python module and CMake.
marshmallow provides a library for converting complex datatypes to and from native Python datatypes.
This package provides a PyQt/PySide compatibility layer. More precisely, it provides compatibility for the following modules: PyQt4, PyQt5, PyQt6, PySide, PySide2.
sshtunnel is a Python module for easily creating SSH tunnels in the background, using Python.