Simple program that fetches data from a server running ruuvitag-hark and output that to stdout in a format that other programs then can consume.

Pyahocorasick is a fast, memory-efficient library for multi-pattern string search. This means that you can find multiple key strings occurrences at once in some input text.

This package provides a more complete LaTeX to Unicode converter than unicodeit using a parser generated from EBNF with the Lark library.

This package contains code to compute the standard EEG electrode locations on a spherical head model for the 10-20, 10-10, and 10-05 system.

immutabledict is an immutable wrapper around dictionaries. It implements the complete mapping interface and can be used as a drop-in replacement for dictionaries where immutability is desired.

The Mapbox Earcut library is a header-only C++ library which provides a fast and robust triangulation of 2D polygons. This package provides Python bindings for this library.

python-pure-protobuf takes advantage of the standard dataclasses module to define message types. Protocol buffers are a language-neutral, platform-neutral extensible mechanism for serializing structured data.

This Pytest extension mainly provides some Pytest fixtures to simulate converting some source text to Docutils AST at different stages: before transforms, after transforms, etc.

PyQtWebEngine is a set of Python bindings for The Qt Company's Qt WebEngine libraries. The bindings sit on top of PyQt6 and are implemented as a set of three modules.

DecayLanguage implements a language to describe and convert particle decays between digital representations, effectively making it possible to interoperate several fitting programs. Particular interest is given to programs dedicated to amplitude analyses.

Official low-level client for Elasticsearch. Its goal is to provide common ground for all Elasticsearch-related code in Python; because of this it tries to be opinion-free and very extendable.

Official low-level client for Elasticsearch. Its goal is to provide common ground for all Elasticsearch-related code in Python; because of this it tries to be opinion-free and very extendable.

Thread-pool Controls provides Python helpers to limit the number of threads used in the threadpool-backed of common native libraries used for scientific computing and data science (e.g. BLAS and OpenMP).

This package is a recursive descent parsing library for Python based on functional combinators. Parser combinators are just higher-order functions that take parsers as their arguments and return them as result values.

pyramid_retry is an execution policy for Pyramid that wraps requests and can retry them a configurable number of times under certain "retryable" error conditions before indicating a failure to the client.

This package provides an efficient implementation of Friedman's SuperSmoother based in Python. It makes use of numpy for fast numerical computation.

dogpile.cache is a caching API which provides a generic interface to caching backends of any variety, and additionally provides API hooks which integrate these cache backends with the locking mechanism of dogpile.

Keystoneauth provides a standard way to do authentication and service requests within the OpenStack ecosystem. It is designed for use in conjunction with the existing OpenStack clients and for simplifying the process of writing new clients.

This package provides tools verify objects that require more than a simple assert including long strings, large arrays, and complex hash structures and objects, i.e. when you need a more granular look at the test failure.

language_data is a supplement to the langcodes module, for working with standardized codes for human languages. It stores the more bulky and hard-to-index data about languages, particularly what they are named in various languages.

This package provides a tool to create Calibration References Data System-formatted reference files for James Webb Space Telescope from a set of input dark current files and a set of flat field files.

Iris is a Python library for analysing and visualising Earth science data. It excels when working with multi-dimensional Earth Science data, where tabular representations become unwieldy and inefficient. Iris implements a data model based on the CF conventions.

This package provides encoding and decoding routines that enable the serialization and deserialization of numerical and array data types provided by numpy using the highly efficient msgpack format. Serialization of Python's native complex data types is also supported.

This package provides a Pytest plugin which enables running each test in a subprocess and will report if a test crashed the process. It can be useful to isolate tests against undesirable global environment side-effects (such as setting environment variables).