Open Source Python Software Development Software - Page 48
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Python Software Development Software
View 6114 business solutionsBrowse free open source Python Software Development Software and projects below. Use the toggles on the left to filter open source Python Software Development Software by OS, license, language, programming language, and project status.
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CodeBeagle
A tool to search source code based on a full text index
CodeBeagle allows you to quickly find all occurrences of a search term inside source code files. It can handle large projects with thousands of files with a very good performance. To do so it creates a full text index of the desired source files. Because it is tolerant to whitespace its search syntax works great for searching source code. The search results are displayed in a source viewer with customizable syntax highlighting. It runs without installation and leaves you in full control when to update the index. Advanced features are the support of multiple search locations, extensible context menus and custom search scripts which allow to automate sequences of searches. Project moved to GitHub: https://github.com/otengler/CodeBeagle -
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CodeIgor makes copies of given files, substituting user-defined patterns for given values. Every copy is related to a scpecific 'solution', so that you may define different versions of the same file, having the same patterns but different values.
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CodeInvestigator is a tracing tool for Python programs. All the run time information is recorded. Read your code together with its run time details. Use it to visualize what happened when you program ran.
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If you are a developer like me, you may find this program useful in finding code. You can add,edit,delete,search, and browse source code you might get from a book or posted on the web.
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99.99% Uptime for MySQL and PostgreSQL DatabasesCloud SQL Enterprise Plus delivers near-zero downtime with 35 days of point-in-time recovery. Supports MySQL, PostgreSQL, and SQL Server.
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Codes debug print statements to reduce size of debug builds, hides debug information from 3rd party people and decreases the effect of longer print lines by printing minimum number of characters to console.
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Coder Keymaps is a set of hybrid keyboard maps intended for non-english coders. Every keymap file consists of two maps. Either is english for coding and the other is the modified native map of the coder. The second map is accessible via windoze keys. This project has been moved to https://github.com/mondalaci/coder-keymaps
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Provides a toolset and usage convention for Code Tags (eg TODO, FIXME, BUG) in source file comments.
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CodingChecker
A coding style checker tool support C/C++ syntax
This project provide a framework for general coding style checker's process: 1, Support different adapter plugin for different programming language syntax 2, Support incremental scanning 3, Support customize criteria rules. 4, Generate report for scanning result. A C/C++ adapter was also implemented based on clang library as example. -
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CodingDojo
Personal Coding Dojo, for several technologies.
CodingDojo to learn, explore, practice and test technologies. Along with CodingKatas there are also challenges. The main purpose of this project is to register and drive software craftsmanship and polyglot programming even further. -
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CodiumAI PR-Agent
AI-Powered tool for automated pull request analysis
CodiumAI PR-Agent is an open-source tool aiming to help developers review pull requests faster and more efficiently. It automatically analyzes the pull request and can provide several types of commands. See the Usage Guide for instructions how to run the different tools from CLI, online usage, Or by automatically triggering them when a new PR is opened. You can try GPT-4 powered PR-Agent, on your public GitHub repository, instantly. Just mention @CodiumAI-Agent and add the desired command in any PR comment. The agent will generate a response based on your command. -
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Columns Plug-in for Eclipse defines the concept of 'column' and some functions of this editable component. Functions such as copy, paste, cut, fill, lowercase, uppercase, search and replace, columns history and others are provided.
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ComfyUI Experiments
Some experimental custom nodes
ComfyUI_experiments is a playground repo for trying out new, sometimes unstable ideas in the ComfyUI ecosystem before they graduate into more official nodes or workflows. It’s where experimental nodes, pipelines, or integrations can live without breaking users’ main installations. The project is aimed at power users and contributors who want to see “what’s possible” with ComfyUI beyond the stable set of features. Because it is exploratory, the code may change often, rely on specific versions, or require manual setup, which is why it’s separated from the main ComfyUI codebase. It also serves as an inspiration library: people can study experimental graphs and adapt the logic to their own local workflows. In short, it’s the R&D corner of ComfyUI where new building blocks are tested in the open. -
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Command Interpreter Tool
A command interpreter to use python and cmd commands in one
CIT, also known as Command Interpreter Tool, is an easy-to-use and useful instrument that allows you to use Python commands and various cmd commands (or the commands in your os). It's possible to use CIT as a portable python interpreter, Just install it on your flashdrive and use the batch file (CIT.bat) to run CIT (shortcut probably won't work if you use CIT portable). -
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Command Line Parser GetPot
Tool to parse the command line and configuration files.
Powerful command line and configuration file parsing for C++, Python, Ruby and Java (others to come). This tool provides many features, such as separate treatment for options, variables, and flags, unrecognized object detection, prefixes and much more. -
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taskcmd is a simple command-line tool to manage per project and per sub-project tasks. Tasks are subdivided into achievements, issues and to do entries. The reporting tool outputs weekly reports and yearly reports with filtering capabilities.
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CommandInterpteterTool
CIT is an command interpreter
CIT CommandInterpreterTool is an advanced command line interpreter like cmd,but with a few new commands. CIT was written in Python 2.7.2 and converted with py2exe 1.6.9 by Area_13 @ EvilZone.org -
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CommandlineConfig
A library for users to write configurations in Python
CommandlineConfig is a lightweight Python library designed to simplify managing configuration parameters for experiments and applications, especially in research workflows that require frequent tweaking of hyperparameters. It lets you define configuration in familiar Python dictionaries or JSON files and then access nested parameters via dot notation in code, improving readability and reducing boilerplate. One of its core strengths is the ability to override configuration values directly from the command line, making it convenient to run many experimental variants without editing files repeatedly. The library supports arbitrarily deep nested structures, type handling, enumerated value constraints, and even tuple types, which are common in ML experiment setups. It also includes features for automatic version checking and convenient help output, so users can quickly see available parameters and their descriptions via a -h flag. -
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Community Linux
USB Drive Writable Linux Distribution
Community Linux is a USB drive based fully functional writable Linux Distribution. It boots and runs with a comparable speed as a hard drive installation. Community Linux allows one to create a low cost solid state development and production platform. For new ComLin drive creation, one needs to download the full install (comlin-016.tar.gz) ... (not just the scripts) Update: Community Linux will now run on most every machine. Update: Added Sound drivers, Intelligent boot drive search. Upd -
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CompE Toolkit
Data Type Converter
CompE Toolkit allows the user to seamlessly convert between binary, decimal, hexadecimal, and 32-bit floating point representation. It uses a simple, user-friendly interface designed for maximum efficiency and minimal clutter. -
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CompactBSD is a powerful set of tools that allow you to build your own customized, lightweight distribution of OpenBSD and then burn it onto compact flash so that it can be run on an embedded PC platform such as FatPort's FatPoint (www.fatport.com)
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Compare GAN
Compare GAN code
compare_gan is a research codebase that standardizes how Generative Adversarial Networks are trained and evaluated so results are comparable across papers and datasets. It offers reference implementations for popular GAN architectures and losses, plus a consistent training harness to remove confounding differences in optimization or preprocessing. The library’s evaluation suite includes widely used metrics and diagnostics that quantify sample quality, diversity, and mode coverage. With configuration-driven experiments, you can sweep hyperparameters, run ablations, and log results at scale. The goal is to turn GAN experimentation into a disciplined, repeatable process rather than a patchwork of scripts. It also provides baselines strong enough to serve as starting points for new ideas without re-implementing the world. -
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Compilation of Physics Calculators
A compliation of Physics derived claculators
A NEW GUI VERSION WILL BE RELEASED SOON! Thank you for visiting the Physics Calculator, provided by PIezoSystems Inc., please visit their company website at https://piezosystems.org. For other downloads, please visit our github page, https://github.com/PiezoSystems. We hope that you find this program useful and easy to use, for troubleshooting, please email us, contact@piezosystems.org. If any bugs were found, please email us at bugs@piezosystems.org. -
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RuleCore is an event-driven reactive (ECA style) rule engine with GUI tools, all written in Python. RuleCore triggers actions by detecting complex patterns of events. RuleCore supports Tibco Rendezvous, WebSphere MQ, XML-RPC or plain sockets.
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Compound is a library that allows Python 2 code to be called seamlessly from a Python 3 program.
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Comprehensive Python Cheatsheet
Comprehensive Python Cheatsheet
Comprehensive Python Cheatsheet is a comprehensive reference resource that consolidates essential Python syntax, idioms, and best practices into a highly readable and searchable format. The project is designed to help developers quickly recall language features without digging through full documentation, making it especially useful for both beginners and experienced programmers. It covers a broad range of topics including data structures, control flow, functions, object-oriented programming, standard library usage, and common patterns. The repository includes both web and printable versions, allowing users to access the material in multiple formats depending on their workflow. Because it is continuously maintained, the cheatsheet reflects modern Python usage and practical conventions. Overall, it serves as a fast lookup companion for everyday Python development.
