Flit is a simple way to put Python packages and modules on PyPI. Flit packages a single importable module or package at a time, using the import name as the name on PyPI. All subpackages and data files within a package are included automatically.

Google Text-to-Speech (gTTS) is a Python library and CLI tool to interface with the Google Translate text-to-speech API. It lets you write spoken MP3 data to a file, a file-like object (bytestring) for further audio manipulation, or stdout.

This package provides a versatile binary analysis platform with the ability to perform dynamic symbolic execution as well as various static analyses directly on binaries. As such, it can be used for all kinds of reverse engineering, vulnerability discovery, exploit generation, and software testing purposes.

xlwt is a library for writing data and formatting information to older Excel files (i.e. .xls). The package itself is pure Python with no dependencies on modules or packages outside the standard Python distribution. It is not intended as an end-user tool.

pdoc auto-generates API documentation that follows your project's Python module hierarchy. It requires no configuration, has first-class support for type annotations, cross-links between identifiers, comes with an integrated live-reloading web server, uses customizable HTML templates, understands numpydoc and Google-style docstrings.

This library brings the Olson tz database into Python. It allows accurate and cross platform timezone calculations using Python 2.4 or higher. It also solves the issue of ambiguous times at the end of daylight saving time. Almost all of the Olson timezones are supported.

This package provides Python bindings to the libmagic file type guesser.

Note that this module and the python-magic module both provide a magic.py file; these two modules, which are different and were developed separately, both serve the same purpose: provide Python bindings for libmagic.

Mock is a library for testing in Python. It allows you to replace parts of your system under test with mock objects and make assertions about how they have been used. This library is now part of Python (since Python 3.3), available via the unittest.mock module.

vine provides a special implementation of promises in that it can be used both for "promise of a value" and lazy evaluation. The biggest upside for this is that everything in a promise can also be a promise, e.g. filters, callbacks and errbacks can all be promises.

This Python module enables remote procedure calls, clustering, and distributed-computing. For this purpose, it makes use of object-proxying, a technique that employs python's dynamic nature, to overcome the physical boundaries between processes and computers, so that remote objects can be manipulated as if they were local.

YAPF is a formatter for Python code. It's based off of clang-format, developed by Daniel Jasper. In essence, the algorithm takes the code and reformats it to the best formatting that conforms to the style guide, even if the original code didn't violate the style guide.

This software library implements formulas to calculate, given an experimental setup, the expected x-ray fluorescence intensities. The library accounts for secondary and tertiary excitation, K, L and M shell emission lines and de-excitation cascade effects. The basic implementation is written in C++ and a Python binding is provided.

silx project is to provide a collection of Python packages to support the development of data assessment, reduction and analysis applications at synchrotron radiation facilities. silx aims to provide reading/writing tools for different file formats, data reduction routines and a set of Qt widgets to browse and visualise data.

The h5py package provides both a high- and low-level interface to the HDF5 library from Python. The low-level interface is intended to be a complete wrapping of the HDF5 API, while the high-level component supports access to HDF5 files, datasets and groups using established Python and NumPy concepts.

Jedi is a static analysis tool for Python that can be used in Integrated Development Environments (IDEs) and text editors. It understands Python on a deeper level than many other static analysis frameworks for Python.

Jedi understands docstrings and you can use Jedi autocompletion in your REPL as well.

The h5py package provides both a high- and low-level interface to the HDF5 library from Python. The low-level interface is intended to be a complete wrapping of the HDF5 API, while the high-level component supports access to HDF5 files, datasets and groups using established Python and NumPy concepts.

Python-cbor provides an implementation of the Concise Binary Object Representation (CBOR). CBOR is comparable to JSON, has a superset of JSON's ability, but serializes to a binary format which is smaller and faster to generate and parse. The two primary functions are cbor.loads and cbor.dumps.

This package provides a range of colormaps designed for scientific use with Matplotlib. It includes perceptually uniform sequential colormaps such as abre, dusk, kepl, and octarine, as well as monochromatic sequential colormaps like blue, green, and red, and others (algae, pastel, and xray).

PYHDF4 is a python wrapper around the NCSA HDF version 4 library, which implements the SD (Scientific Dataset), VS (Vdata) and V (Vgroup) API’s. NetCDF files can also be read and modified. It is a successor of Python-HDF4 which is a fork of pyhdf.

This package consists of Python replacements for functions that are part of the IDL built-in library or part of astronomical IDL libraries. The emphasis is on reproducing results of the astronomical library functions. Only the bare minimum of IDL built-in functions are implemented to support this.

This tool offers a pipeline for inferring gene expression programs from scRNA-Seq. It takes a count matrix (N cells X G genes) as input and produces a (K x G) matrix of gene expression programs (GEPs) and a (N x K) matrix specifying the usage of each program for each cell in the data.

Python is a remarkably powerful dynamic programming language that is used in a wide variety of application domains. Some of its key distinguishing features include: clear, readable syntax; strong introspection capabilities; intuitive object orientation; natural expression of procedural code; full modularity, supporting hierarchical packages; exception-based error handling; and very high level dynamic data types.

Python is a remarkably powerful dynamic programming language that is used in a wide variety of application domains. Some of its key distinguishing features include: clear, readable syntax; strong introspection capabilities; intuitive object orientation; natural expression of procedural code; full modularity, supporting hierarchical packages; exception-based error handling; and very high level dynamic data types.

Python implementation of the Tensor Train (TT) toolbox. It contains several important packages for working with the TT-format in Python. It is able to do TT-interpolation, solve linear systems, eigenproblems, solve dynamical problems. Several computational routines are done in Fortran (which can be used separately), and are wrapped with the f2py tool.