European Southern Observatory Data Processing System EDPS is a system to automatically organise data from ESO instruments for pipeline processing and running the pipeline on these data. It is used for quality control at ESO. The current public release is a beta version without a GUI. A GUI is being developed and the system is meant to eventually replace the older EsoReflex environment.

Daft is a Python package that uses matplotlib to render pixel-perfect probabilistic graphical models for publication in a journal or on the internet. With a short Python script and an intuitive model-building syntax you can design directed (Bayesian Networks, directed acyclic graphs) and undirected (Markov random fields) models and save them in any formats that matplotlib supports (including PDF, PNG, EPS and SVG).

pyte is an in-memory VTxxx-compatible terminal emulator. VTxxx stands for a series of video terminals, developed by DEC between 1970 and 1995. The first and probably most famous one was the VT100 terminal, which is now a de-facto standard for all virtual terminal emulators.

pyte is a fork of vt102, which was an incomplete pure Python implementation of VT100 terminal.

This package provides a Python implementation of a statistical model for multi-bin histogram-based analysis and its interval estimation is based on the asymptotic formulas of "Asymptotic formulae for likelihood-based tests of new physics". The aim is also to support modern computational graph libraries such as PyTorch and TensorFlow in order to make use of features such as autodifferentiation and GPU acceleration.

Apache Burr makes it easy to develop applications that make decisions (chatbots, agents, simulations, etc...) from simple Python building blocks. Apache Burr works well for any application that uses LLMs, and can integrate with any of your favorite frameworks. Burr includes a UI that can track/monitor/trace your system in real time, along with pluggable persisters (e.g. for memory) to save and load application state.

Rodi is a dependency injection framework for Python applications.

Its features include

• Type resolution by signature types annotations.

• Type resolution by class annotations.

• Type resolution by names and aliases.

• Build graph of objects without the need for source code changes.

• Minimum overhead to obtain services, once the objects graph is built.

• Support for singleton, transient, and scoped services.

The Microsoft Authentication Library for Python enables applications to integrate with the Microsoft identity platform. It allows you to sign in users or apps with Microsoft identities (Azure AD, Microsoft Accounts and Azure AD B2C accounts) and obtain tokens to call Microsoft APIs such as Microsoft Graph or your own APIs registered with the Microsoft identity platform. It is built using industry standard OAuth2 and OpenID Connect protocols.

gcvb (generate compute validate benchmark) is a Python 3 module aiming at facilitating non-regression, validation and benchmarking of simulation codes. gcvb is not a complete tool of continuous integration (CI). It is rather a component of the testing part of a CI workflow. It can compare the different metrics of your computation with references that can be a file, depends of the 'configuration' or are absolute.

To prevent Python from decoding and canonicalizing line endings and thus preventing detection, binary mode is used for opening, which means that byte strings are read instead of normal strings. Currently read is used and a loop. This doesn't hide the underlying workings and is hence useful to explain the workings of, but nicer code could probably be written using iterator based operations like drop_while.

xgcm is a Python package for working with the datasets produced by numerical General Circulation Models (GCMs) and similar gridded datasets that are amenable to finite volume analysis. In these datasets, different variables are located at different positions with respect to a volume or area element (e.g. cell center, cell face, etc.) xgcm solves the problem of how to interpolate and difference these variables from one position to another.

This is a library to support the Internationalised Domain Names in Applications (IDNA) protocol as specified in RFC 5891. This version of the protocol is often referred to as “IDNA2008” and can produce different results from the earlier standard from 2003. The library is also intended to act as a suitable drop-in replacement for the “encodings.idna” module that comes with the Python standard library but currently only supports the older 2003 specification.

Fypp is a Python powered preprocessor. It can be used for any programming languages but its primary aim is to offer a Fortran preprocessor, which helps to extend Fortran with condititional compiling and template metaprogramming capabilities. Instead of introducing its own expression syntax, it uses Python expressions in its preprocessor directives, offering the consistency and versatility of Python when formulating metaprogramming tasks. It puts strong emphasis on robustness and on neat integration into developing toolchains.

spin is a simple interface for common development tasks. It comes with a few common build commands out the box, but can easily be customized per project.

The impetus behind developing the tool was the mass migration of scientific Python libraries (SciPy, scikit-image, and NumPy, etc.) to Meson, after distutils was deprecated. When many of the build and installation commands changed, it made sense to abstract away the nuisance of having to re-learn them.

Trend Micro Locality Sensitive Hash (TLSH) is a fuzzy matching library. Given a byte stream with a minimum length of 256 bytes, TLSH generates a hash value which can be used for similarity comparisons. Similar objects have similar hash values, which allows for the detection of similar objects by comparing their hash values. The byte stream should have a sufficient amount of complexity; for example, a byte stream of identical bytes will not generate a hash value.

doit is an automation tool that brings the power of build-tools to execute any kind of task.

A task describes some computation to be done (actions), and contains some extra meta-data. The actions can be external programs or Python functions. A single task may define more than one action. doit uses the task’s meta-data to:

• cache task results

• correct execution order

• parallel execution

• powerful dependency system

SOXS is a software suite which can create simulated X-ray observations of astrophysical sources with almost any existing or planned X-ray observatory. The goal of SOXS is to provide a comprehensive set of tools to design source models and convolve them with simulated models of X-ray instruments. This package was originally developed to support the Lynx X-ray Observatory mission concept, but has evolved to support other missions as well.

Scientific video can be packaged in various ways: familiar video formats like .AVI and .MOV, folders full of numbered images, or "stacks" of TIFF images. Each of these requires a separate Python module. And, once loaded, they have different methods for accessing individual images, looping through the images in bulk, accessing a specific range, or dealing with multidimensional files. PIMS can do all of these using a consistent interface, handling the differences between different inputs invisibly.

ZODB provides an object-oriented and ACID compliant database for Python with a high degree of transparency. ZODB is an object-oriented database, not an object-relational mapping. This comes with several advantaged:

• no separate language for database operations

• very little impact on your code to make objects persistent

• no database mapper that partially hides the database.

• almost no seam between code and database.

Huey is a lightweight task queue for Python applications. Huey supports:

• Redis, SQLite, file-system, or in-memory storage

• multi-process, multi-thread or greenlet task execution models

• scheduling tasks to execute at a given time, or after a given delay

• scheduling recurring tasks, like a crontab

• automatically retrying tasks that fail

• task prioritization

• task result storage

• task expiration

• task locking

• task pipelines and chains

ULID is a universally unique lexicographically sortable identifier. It is:

• 128-bit compatible with UUID

• 1.21e+24 unique ULIDs per millisecond

• lexicographically sortable!

• canonically encoded as a 26 character string, as opposed to the 36 character UUID

• uses Crockford's base32 for better efficiency and readability (5 bits per character)

• case insensitive

• no special characters (URL safe)

• monotonic sort order (correctly detects and handles the same millisecond)

NAIF is a pure-python package for numerical analysis of frequencies. It implements the NAFF algorithm introduced by Laskar (1990, 1999) and further developed by Valluri & Merritt (1998) – see also Price-Whelan et al (2016) and their released package SuperFreq. It is based on the Fortran implementation of Valluri & Merritt (1998), but it introduces a few improvements. It is also intended to be a transparent, well documented and easy-to-use implementation.

Cmd2 is a tool for building interactive command line applications in Python. Its goal is to make it quick and easy for developers to build feature-rich and user-friendly interactive command line applications. It provides a simple API which is an extension of Python's built-in cmd module. cmd2 provides a wealth of features on top of cmd to make your life easier and eliminates much of the boilerplate code which would be necessary when using cmd.

PyBDSF (the Python Blob Detection and Source Finder) is a tool designed to decompose radio interferometry images into sources and make available their properties for further use. PyBDSF can decompose an image into a set of Gaussians, shapelets, or wavelets as well as calculate spectral indices and polarization properties of sources and measure the psf variation across an image. PyBDSF uses an interactive environment based on CASA that will be familiar to most radio astronomers. Additionally, PyBDSF may also be used in Python scripts.

The Bluetooth GATT SDK for Python helps you implement and communicate with any Bluetooth Low Energy device that has a GATT profile. It supports:

• Discovering nearby Bluetooth Low Energy devices

• Connecting and disconnecting devices

• Implementing your custom GATT profile

• Accessing all GATT services

• Accessing all GATT characteristics

• Reading characteristic values

• Writing characteristic values

• Subscribing for characteristic value change notifications

Currently, Linux is the only platform supported by this library.