Pylama is a code audit tool for Python and JavaScript to check for style, syntax and other code health metrics. It is essentially a convenient wrapper above tools such as Pyflakes, pydocstyle, pycodestyle and McCabe, among others.

This package provides a way to write Shell commands from within Python. Python functions can be chained together to process input Bash control characters are escapted so that parameters can be passed without worrying about command injection.

Plotly's Python graphing library makes interactive, publication-quality graphs online. Examples of how to make line plots, scatter plots, area charts, bar charts, error bars, box plots, histograms, heatmaps, subplots, multiple-axes, polar charts, and bubble charts.

Plotly's Python graphing library makes interactive, publication-quality graphs online. Examples of how to make line plots, scatter plots, area charts, bar charts, error bars, box plots, histograms, heatmaps, subplots, multiple-axes, polar charts, and bubble charts.

Pyppmd provides classes and functions for compressing and decompressing text data, using the Prediction by partial matching (PPM) compression algorithm variation H and I.2. It provides an API similar to Python's zlib/bz2/lzma modules.

This package contains a set of persistent object containers built around a modified BTree data structure. The trees are optimized for use inside ZODB's "optimistic concurrency" paradigm, and include explicit resolution of conflicts detected by that mechanism.

python-future is the missing compatibility layer between Python 2 and Python 3. It allows you to use a single, clean Python 3.x-compatible codebase to support both Python 2 and Python 3 with minimal overhead.

This package provides a tool for translation and localization of Python programs via modification of source files. Trubar supports f-strings and does not require any changes to the original source code, such as marking strings for translation.

Plotly's Python graphing library makes interactive, publication-quality graphs online. Examples of how to make line plots, scatter plots, area charts, bar charts, error bars, box plots, histograms, heatmaps, subplots, multiple-axes, polar charts, and bubble charts.

Scanpy is a scalable toolkit for analyzing single-cell gene expression data. It includes preprocessing, visualization, clustering, pseudotime and trajectory inference and differential expression testing. The Python-based implementation efficiently deals with datasets of more than one million cells.

GSEApy is a Python/Rust implementation for GSEA and wrapper for Enrichr. GSEApy can be used for RNA-seq, ChIP-seq, Microarray data. It can be used for convenient GO enrichment and to produce publication quality figures in Python.

warcio is a Python library to read and write the WARC format commonly used in Web archives. It is designed for fast, low-level access to web archival content, oriented around a stream of WARC records rather than files.

cattrs is an Python library for structuring and unstructuring data. cattrs works best with attrs classes, dataclasses and the usual Python collections, but other kinds of classes can also be supported by manually registering converters.

k5test is a library for setting up self-contained Kerberos 5 environments, and running Python unit tests inside those environments. It is based on the file of the same name found alongside the MIT Kerberos 5 unit tests.

Joblib is a set of tools to provide lightweight pipelining in Python. In particular, joblib offers: transparent disk-caching of the output values and lazy re-evaluation (memoize pattern), easy simple parallel computing logging and tracing of the execution.

The rawkit package provides two modules: rawkit and libraw. The rawkit module provides a high-level Pythonic interface for developing raw photos, while the libraw module provides a CTypes based interface for interacting with the low-level LibRaw C APIs.

This package implements a variety of persistent homology algorithms. It provides an interface for

• computing persistence cohomology of sparse and dense data sets

• visualizing persistence diagrams

• computing lowerstar filtrations on images

• computing representative cochains

Bcrypt is a Python module which provides a password hashing method based on the Blowfish password hashing algorithm, as described in "A Future-Adaptable Password Scheme" by Niels Provos and David Mazieres.

Scrapy is a fast high-level web crawling and web scraping framework, used to crawl websites and extract structured data from their pages. It can be used for a wide range of purposes, from data mining to monitoring and automated testing.

asprin is a general framework for optimization in ASP, that allows for computing optimal stable models of logic programs by means of preferences. Some preference types are already predefined, but more can be added as logic programs.

Pifpaf is a suite of fixtures and a command-line tool that starts and stops daemons for a quick throw-away usage. This is typically useful when needing these daemons to run integration testing. It originally evolved from its precursor overtest.

Orjson is a fast, correct JSON library for Python. It benchmarks as the fastest Python library for JSON and is more correct than the standard json library or other third-party libraries. It serializes dataclass, datetime, numpy, and UUID instances natively.

This package provides access to the Stripe financial services' API. It includes a pre-defined set of classes for API resources that initialize themselves dynamically from API responses which makes it compatible with a wide range of versions of the Stripe API.

NumPy is the fundamental package for scientific computing with Python. It contains among other things: a powerful N-dimensional array object, sophisticated (broadcasting) functions, tools for integrating C/C++ and Fortran code, useful linear algebra, Fourier transform, and random number capabilities.