Open Source Python Software Development Software - Page 95

The Pythonic Data Structures and Algorithms repository by keon is a hands-on collection of implementations of classical data structures and algorithms written in Python. It offers working, often well-commented code for many standard algorithmic problems — from sorting/searching to graph algorithms, dynamic programming, data structures, and more — making it a valuable resource for learning and reference. For students preparing for technical interviews, self-learners brushing up on fundamentals, or developers wanting to understand algorithm internals, this repository provides ready-to-run examples, and can serve as a sandbox to experiment, benchmark, or adapt code. Because it’s in pure Python, it’s easy to read and modify, making it accessible even to those with modest programming experience. The repo helps bridge the gap between theoretical algorithm descriptions and real-world code, giving concrete, working implementations that one can study, debug, or extend.

Pythonisa is a Python code analyzer is a simple code analyzer for Python that creates a class diagram after executing your code.

Pythonutils is a Python package of modules useful for common programming tasks in Python. These include config file reading and writing, dealing with paths and URLs and a comprehensive ordered dictionary class (plus more).

Torch Points 3D is a framework for developing and testing common deep learning models to solve tasks related to unstructured 3D spatial data i.e. Point Clouds. The framework currently integrates some of the best-published architectures and it integrates the most common public datasets for ease of reproducibility. It heavily relies on Pytorch Geometric and Facebook Hydra library thanks for the great work! We aim to build a tool that can be used for benchmarking SOTA models, while also allowing practitioners to efficiently pursue research into point cloud analysis, with the end goal of building models which can be applied to real-life applications. Task driven implementation with dynamic model and dataset resolution from arguments. Core implementation of common components for point cloud deep learning - greatly simplifying the creation of new models. 4 Base Convolution base classes to simplify the implementation of new convolutions. Each base class supports a different data format.

Pyzzle is a cross-platform game engine for creating large-scale, 2D Myst-like adventure games. The engine supports 2D panoramas, features an intuitive design mode, and allows users to download content from the internet. Pyzzle is written using Pygame.

QA Assistant is a GNOME-Python program that aids in Quality Assurance. It creates a graphical checklist from an XML description. A reviewer fills in the checklist and then the program outputs a gpg-signed review for submittal to a tracking system.

QA Assistant is a Gnome-Python application that assists a reviewer in performing Quality Assurance. It creates a checklist that the reviewer fills in. When the checklist is filled, the application prints out a review for the reviewer to submit.

QPyDesk is a code editor, and real-time QR code generator for QPython. It is a Python code editor with syntax highlighting that also generates the QR code that represents said code in real time. This application also allows you to print the generated QR code to distribute the created application. However, because QR codes have a limited storage capacity, if the code is very long, QPyDesk creates a QR code that is only valid while the application is running, that is, the QR code generated in this case is useless for distribute the application, but it is still useful to check the operation of the script while it is encoded from the computer. When these circumstances occur, QPyDesk notifies the user and disables the print button. QPyDesk gives dynamism during the development of applications for QPython / Android, since it takes advantage of the QPython QR code reader to work comfortably from the computer for the android device.

Qpyde is an IDE for using python and Qt. The goal it's to create an IDE with GUI's generation (as Netbeans or MS Studio) to work as a RAD tool for python + qt developers

A Python Shell has been constructed from Qt, QScintilla and the Python C API directly, which features syntax highlighting and simple code completion via a Qt GUI. It is hoped that a Qt Widget can be constructed from it eventually.

QR Code Generator for Debian/Ubuntu using python-qr with drag and drop files to read an code it!

This is a projct simulation code for my term report. It will be written in Python.

Qct Qt/Python based commit tool

Intends to make an automatic interface generator for a given sql structure, with insert and update dialogs an delete functionability

Qt4 bindings for Python using Boost.Python. The goal is to make a very pythonic API but taking advantage of thepower of Qt. Another goals are: QtDesigner integration, C++ embedded Python Widgets and an extensive documentation with demos and examples.

What is QPF 2.6 ? QPF 2.6 (or Quantum Programming framework 2.6) is a free simple and easy to use framework dedicated to supporting programmers who are developing software for the D-wave one series of quantum computers.

Abandoned version of qbc. DOES NOT WORK properly

Quercitools has just one tool for now - stackcheck.py. It helps in troubleshooting of stack overruns. Such defects destroy stack contents and locating the source of the problem is not easy. This is where stackcheck.py comes to help. It runs a program under test by gdb and protects some parts of the stack. If the program overwrites such parts stackcheck.py stops the program and points to the offending line of code.

RC-Data is a dataset generation framework created by Google DeepMind to produce large-scale reading comprehension question-answer pairs from CNN and Daily Mail news articles. The dataset, introduced in the 2015 paper “Teaching Machines to Read and Comprehend” (Hermann et al., NIPS 2015), was among the first large corpora designed to train and evaluate machine reading and comprehension models. The repository provides scripts for downloading archived CNN and Daily Mail articles from the Wayback Machine and automatically generating cloze-style questions where entities in the text are replaced with placeholders. Each data instance consists of a news article (context), a generated question, and its corresponding answer, making it suitable for supervised machine learning setups. The output follows a standardized question-answer format, with entity mappings to help models resolve named references.

QuickDicom is an easy to use dicom medical imaging package for Mac OSX, providing QuickLook, Spotlight, Quartz Composer, Window/Level and a dicom file analyzer. Also included is the iiDicom Framework for image/dictionary usage in Objective C and Python.

Quick dash is an application dashboard made to cut off the time taken between switching between various applications, especially when you are a Programmer/Developer.

Dictionary application for classical studies, based on Python and PyQt. Currently includes two dictionaries.

QuizSolver is a free Windows app that uses AI vision to automatically read and answer quiz questions on your screen. It takes a screenshot, detects the answer buttons, sends the question to an AI model, and clicks the correct answer in seconds. Built-in support for Quizalize and Quipper. A Custom mode is available for other quiz sites, though results may vary. HOW TO SET UP: 1. Download and unzip QuizSolver — no installation needed 2. Get a free API key from Groq at console.groq.com/keys — no credit card required Or use OpenRouter at openrouter.ai/keys — free tier ~200 questions/day 3. Open QuizSolver.exe, paste your key, click Save Key 4. Select your quiz site from the dropdown HOW TO USE: 1. Open your quiz so the first question is visible on screen 2. Press START or F9 — the window minimizes automatically 3. The bot answers each question on its own 4. Press ESC or the floating STOP button to stop anytime Powered by Groq and OpenRouter.

Quokka is a Content Management Framework written in Python. A lightweight framework to build CMS (Content Management System) as websites, portals, blogs, applications and anything related to publishing content to the web. Quokka is not limited to CMS area, it is also possible to create Quokka extensions to provide any kind of web application based on Python and Flask. Quokka can also (optionally) generate a static website from the contents generated in its admin interface. Web-based content management admin interface. Multiple content formats (markdown, rst, html, plaintext) Compatibility with any of the Pelican Themes. Flat file NoSQL database TinyDB or optionally MongoDB for scale deployments. Host the Quokka on server or generate a static website. Extensible via modules/plugins. Powered by Python, Flask, Flask-Admin, TinyMongo and Pelican Themes.