Open Source Python Software Development Software - Page 60

Validation and form generation package (primarily HTML/HTTP forms) for Python

FormProc is an form processing and validation API for Java. Forms (HTML or otherwise) are represented as objects and can be validated by a multitude of validators.

A suite of tools and extensions to Python to permit automatic specification-based testing with inline, incremental formal specification.

FormatFuzzer is a framework for high-efficiency, high-quality generation and parsing of binary inputs. It takes a binary template that describes the format of a binary input and generates an executable that produces and parses the given binary format. ​

FortWrap is a python script that parses Fortran 90/95/200X source files and generates wrapper code in the form of C++ classes. FortWrap is intended to be used with object oriented Fortran code that makes use of Fortran derived types. Project has moved to: https://github.com/mcfarljm/fortwrap

NOTE: Development continued at GitHub! Current version is higher than 1.1.6. Fortran-tags is a lightweight Fortran source code indexing tool for Emacs. It is able to correctly locate all global and local variables and is expected to work with any Fortran 2008 conforming code with only minor exceptions.

The FoxNuke program is written in python and uses Firefox in order to complete the distributed denial of service attack feature. Multiple headers are used from the Firefox browser, along with a personal configuration option for the Opera browser. The FoxNuke Program is still underdevelopment as of 8/24/17, full release is set to come out sometime during 2017-2018. If you would like to participate in the TESTING of this program and would like to help report bugs, etc. then please email leyvarosnel@gmail.com for further inquiries. Please note that Beta distributions will be limited. This whole project is being done open-source and for free as a hobby, so if I abandon this project it's just because I don't feel like working on it anymore.

Frameprocessor (fp) is a software engineering tool for reusing textual product line artifacts, e.g. code, documentation, tests, requirements or architecture, potentially in XML format.

FramerD is a distributed semi-structured object database originally developed at MIT. It provides an internationalized Scheme-based scripting language, built-in text analysis tools, and special support for web scripting.

Free and easy to implement algorithm that can be used for resource leveling in Gantt projects. Uses resources assignment policies, availibility calendars, tasks\' priorities, dependencies, sizings, complexity due to human communication.

This Linux software will allow users to graphically create themes/skins and them export them to various CMS's, allowing for multiple software to share the same skin.

FreeImagePy is a FreeImage library python wrapper. It export the FreeImage library functions, so a python developer can simple use it into python programs. It need a compiled FreeImage library and ctypes for work.

French translation of Python Documentation. Le projet "French Python" a pour but de traduire en français la documentation du langage de programmation Python (qu'il s'agisse de la documentation officielle ou de tous les documents concernant Python)

Fressia Project is an effort to develop an Open Source general framework for Testing Automation. It's intended for users (testers) that want a simple tool which can be used just out of the box. It's does not requires any complicated configuration stuff

Visual regression tool used to compare baseline and updated instances of a website in a deployment pipeline. FRED is an opensource visual regression tool used to compare two instances of a website. FRED is responsible for automatic visual regression testing, with the purpose of ensuring that functionality is not broken by comparing a current(baseline) and an updated version of a website. The visual analysis computes the Normalized Mean Squared error and the Structural Similarity Index on the screenshots of the baseline and updated sites, while the visual AI looks at layout and content changes independently by applying image segmentation Machine Learning techniques to recognize high-level text and image visual structures. This reduces the impact of dynamic content yielding false positives. FRED is designed to be scalable. It has an internal queue and can process websites in parallel depending on the amount of RAM and CPUs (or GPUs) available.

Frosttie (FROnt-end SchemaTron Text Internet Engine) takes XHTML pages and processes them with various user-definable filters such a W3C's WAI, Section 508 (US) web usability compliance, ad removal, etc. It can be used with zKnowMan.

Fudge is a documentation system for software projects inspired by Pudge. It is currently targeted at providing integration with current Python software developement tools and internationalization, but support for other programming languages is planned.

Generate a backend and frontend stack using Python, including interactive API documentation. Production ready Python web server using Uvicorn and Gunicorn. Very high performance, on par with NodeJS and Go (thanks to Starlette and Pydantic). Great editor support. Completion everywhere. Less time debugging. Designed to be easy to use and learn. Less time reading docs. Minimize code duplication. Multiple features from each parameter declaration. Get production-ready code. With automatic interactive documentation. Many other features including automatic validation, serialization, interactive documentation, authentication with OAuth2 JWT tokens, etc. Celery worker that can import and use models and code from the rest of the backend selectively. REST backend tests based on Pytest, integrated with Docker, so you can test the full API interaction, independent on the database. As it runs in Docker, it can build a new data store from scratch each time.

FunctionSC is a friendly graphical interface for executing functions though native libraries or python modules.

A collection of general or specific tools created in the process of creating other, larger programs.

FungeWars, written in Python, loads two Befunge programs onto the same grid, where each tries to cause the other to quit or crash. A standalone Befunge interpreter, PyFunge, is also included. Befunge is an esoteric two-dimensional programming language.

A clean customizable Sphinx documentation theme. Intentionally minimal, the most important thing is the content, not the scaffolding around it. Responsive, adapting perfectly to the available screen space, to work on all sorts of devices. Customizable, change the color palette, font families, logo and more! Easy to navigate, with carefully-designed sidebar navigation and inter-page links. Good-looking content, through clear typography and well-stylized elements. Good looking search, helps readers find what they want quickly. Biased for smaller docsets, intended for smaller documentation sets, where presenting the entire hierarchy in the sidebar is not overwhelming. Furo allows customizing the icons that are presented in the page footer. These icons can be used to link to relevant resources for your project and documentation.

The Fury² Game Creation System is a game development toolkit for the 32-bit Windows platform, designed to allow the creation of complex multimedia software and games with minimal unnecessary effort (i.e. reinventing the wheel.)

FuzzBench is a large-scale, open research platform developed by Google to evaluate and benchmark fuzzers — automated software testing tools that detect vulnerabilities through randomized input generation. It provides a standardized, reproducible environment for comparing the performance and effectiveness of different fuzzing algorithms on real-world software targets. FuzzBench integrates with the OSS-Fuzz infrastructure, allowing it to run experiments on authentic open source projects and collect meaningful data on crash discovery rates, code coverage, and bug-finding efficiency. The service includes an easy-to-use API for integrating custom fuzzers and an automated reporting system that generates detailed statistical analyses, comparative graphs, and significance testing. By running experiments at Google scale, FuzzBench ensures consistent, unbiased, and data-driven evaluations that support academic and industrial fuzzing research.