Open Source Python Software Development Software - Page 78

Petaapan is exploring the opportunities that multi-touch displays present. Initially we are looking at tools to support agile development to provide a concrete target for the investigations.

Petastorm library enables single machine or distributed training and evaluation of deep learning models from datasets in Apache Parquet format. It supports ML frameworks such as Tensorflow, Pytorch, and PySpark and can be used from pure Python code. Petastorm is an open-source data access library developed at Uber ATG. This library enables single machine or distributed training and evaluation of deep learning models directly from datasets in Apache Parquet format. Petastorm supports popular Python-based machine learning (ML) frameworks such as Tensorflow, PyTorch, and PySpark. It can also be used from pure Python code. A dataset created using Petastorm is stored in Apache Parquet format. On top of a Parquet schema, petastorm also stores higher-level schema information that makes multidimensional arrays into a native part of a petastorm dataset. Petastorm supports extensible data codecs. These enable a user to use one of the standard data compressions (jpeg, png) or implement her own.

Petra is the primary repository for plugins for the Luxor XUL (XML User Interface Language) toolkit. Plugins let you use new XUL tags along with all built-in core XUL tags without any need to tweak or rebuild the Luxor kernel.

Pex adds to Pyrex, or Cython, the ability to write C fast numerics using numpy.ndarray, frees you from Makefiles and header files, and makes your Pyrex classes serializable, through both pickling and a much faster scheme.

PgWorksheet is a simple GUI frontend to PostgreSQL for executing SQL queries and psql commands without using the psql command line tool. Please see the project home page for bug reports, forums and installation instructions.

PhPyCli is an app for write and execute php code (other language available). I decided to make it because i thought it could be interesting to play with php through a GUI rather than through a terminal. The work I've made, is one of somebody who has learnt python by itself. I'm not an engineer This work it's just an attempt to realise my app project. Please be indulgent! All the work is yet to be done, what I present is just the begining. And if you like it, please improve it, evolve it. Thanks! :) PhPyCli has been written under Fedora Linux, in Python and with the wxPython GUI toolkit.

Cross Platform Development Enviroment

includes several pygame scripts and pygame libraries. the scripts are a tile editor and a level editor. the libraries include a state engine, a full featured gui, html rendering, document layout, text rendering, sprite and tile engine, and a timer.

Phino is a advanced GUI Language written on top of Python and wxPython to write GUIS in a simplified way. It supports many of the operations of python and seperates the design from the coding

PhinoBuilder is a GUI Tool to visually aid design GU using wxpython in real time. Propeties can be edited or changed in the main application and updated in Your application instantly and vice versa.

OpenGL based 2D/3D graphic crossplatform engine written on Free Pascal. Very amateurish. Currently project PhloXLib stopped or developed very slow.

A collection of phonetic algorithms such as metaphone or soundex for use in Python.

A Python Library to use Python conveniently as a scripting language for Photoshop (8+) on top of win32api (sf-project: pywin32). Besides convenience we might gain portability and a bit version independence.

Photon provides very fast access to data containers (queues, maps, etc.) in shared memory - it can retrieve millions of data records per second. It also uses some RDB concepts like transactions and crash recovery. See web site for details.

A modern, web-based photo management server. Run it on your home server and it will let you find the right photo from your collection on any device. Smart filtering is made possible by object recognition, face recognition, location awareness, color analysis and other ML algorithms. This project is currently in development and not feature complete for a version 1.0 yet. If you don't mind putting up with broken parts or want to help out, run the Docker image and give it a go. I'd love for other contributors to get involved. You can move some photos into the folder data/photos and they should get detected and imported immediately. Once you have finished trying out the system you can edit the volume in the docker-compose.yml file where it says ./data/photos to mount wherever you usually keep photos. System database, thumbnails and other cache data is stored separately from the photos so shouldn't pollute the area. You are responsible for keeping your own backups in case of error.

Software to aid the storage and development of mathematical models, such as ones written in modeling languages like CellML.

Piccolo is a modern, fast, and type-safe ORM for Python, designed with developer ergonomics in mind. It provides a clean syntax for defining schemas and building queries while supporting both sync and async execution. With built-in admin tools and rich introspection, Piccolo is suitable for web apps, APIs, and small-to-medium scale backends that prioritize clarity and speed.

Picket is flexible Bugticket Tracker or Issue Tracker or Bug Tracker written in Python over Django framework.

Functional Programming for Python. Provides a small mixin to provide 1) type constraints for named tuples 2) pre/postcondition typechecking for functions 3) syntactical sugar to make your code look pretty (accomplished through a PEP 302 import hook)

Piku is a minimalistic Platform as a Service (PaaS) that enables users to deploy applications to their own servers using simple Git push commands.

Pikzie is an Unit Testing Framework for Python. Pikzie provides more Pythonish API(*) and more usefull test result output rather than PyUnit (unittest.py). (*) PEP 8 -- Style Guide for Python Code: http://www.python.org/dev/peps/pep-0008/

Pinject is a lightweight dependency-injection library for Python that favors explicit wiring and testability over magic. Instead of global singletons, you declare providers (bindings) that describe how to construct objects, and Pinject resolves the graph by inspecting call signatures. Its container supports constructor injection and fine-grained scoping so you can share expensive resources while keeping tests isolated. The library leans on Python’s introspection to minimize boilerplate, making it natural to adopt in codebases that already rely on type hints or keyword arguments. Because bindings are just Python functions and classes, refactoring remains straightforward and the DI graph is easy to reason about. Pinject is particularly useful for medium-to-large services where configuration, logging, data clients, and business logic need clean separation without resorting to manual plumbing.

To install these libraries, you need to have Python installed on your PC, preferably the latest version. This file only works for Windows.

Pipelines is a language and runtime for crafting massively parallel pipelines. Unlike other languages for defining data flow, the Pipeline language requires the implementation of components to be defined separately in the Python scripting language. This allows the details of implementations to be separated from the structure of the pipeline while providing access to thousands of active libraries for machine learning, data analysis, and processing.

Pipenv is a package manager that brings all the best of the packaging world together to the Python world. It's got everything you could need: bundler, composer, npm, cargo, yarn and more all in one convenient package so you can easily set up a working environment. Pipenv creates and manages a virtualenv automatically, and can add or remove packages from your Pipfile as you install/uninstall packages. It also produces the Pipfile.lock, which is essential for deterministic builds. Pipenv provides convenient solutions to a number of problems. It allows you to use pip and virtualenv together; use the upcoming Pipfile and Pipfile.lock instead of a problematic requirements.txt; automatically exposes security vulnerabilities; and streamlines your development workflow by loading .env file.