Open Source Python Software Development Software - Page 47

Clipper is a Python based Shell and Debugger for the CLIPS Expert System (see http://clipsrules.sourceforge.net/). It is currently build on pyGTK and pyCLIPS.

Clone Digger is a duplicate code detection tool, which supports Python and Java languages. Discovered clones can differ in small subexpressions; comments and whitespaces are ignored. Clone digger is platform-independent and is written in Python language

Cloud Filer is a graphical cloud file management tool and S3 client. Cloud Filer allows you to upload and download files to cloud storage and can be used as part of your backup strategy. Cloud Filer includes pre-internet encryption and file name obfuscation making access to your cloud data useless without the right password. Download and install using pip install cloudfiler - see also https://pypi.org/project/cloudfiler/

Cloud Target is a front-end to the python scripts that google uses to create, run and upload projects to its App Server system. This .NET application is based on the OSX front-end provided by Google in the SDK.

The CloudTier Storage Tiering SDK is a Hierarchical Storage Management (HSM) file system filter driver development kit. It implements a data storage strategy that automatically migrates data between high-cost and low-cost storage media, optimizing storage efficiency and reducing both capital and operational expenses. This SDK offers a simple and cost-effective solution to seamlessly integrate your on-premises storage infrastructure with cloud storage. The migration of files to the cloud happens transparently and securely, with no disruption to existing applications or infrastructure. The SDK uses on-premises storage as Tier 0 (hot storage) and cloud storage as Tier 1 (cold storage). Cooler or less frequently accessed data is automatically moved to cloud storage, freeing up local storage capacity. Your applications can continue to access all files as if they reside locally—no changes to your code or workflow are required.

This project allow to test network availability on multiple nodes. It is built as a plugin architecture in order to use it on multiples networks. Test is based on three steps : module status, local visibility of network, and interconnection between nodes

The co-simulation adapation platform serves as programming framework and middleware to enable coupling of distributed, heterogeneous numerical models. The framework facilitates the adaptation and integration of new sub-models into a common simulation platform.

CoVim enables collaborative, real-time editing sessions in Vim by networking multiple clients into a shared buffer. Participants can see each other’s cursors and changes as they type, approximating pair programming inside a modal editor. Sessions are hosted on a server process that coordinates edits and user presence across machines. The goal is to keep collaboration simple while preserving familiar Vim motions and commands. It is particularly handy for remote code walkthroughs, mentoring, or quick review sessions without switching to a different editor. While not as full-featured as cloud IDEs, it provides a lightweight way to co-edit in pure Vim.

Coach is a python framework that models the interaction between an agent and an environment in a modular way. With Coach, it is possible to model an agent by combining various building blocks, and training the agent on multiple environments. The available environments allow testing the agent in different fields such as robotics, autonomous driving, games and more. It exposes a set of easy-to-use APIs for experimenting with new RL algorithms and allows simple integration of new environments to solve. Coach collects statistics from the training process and supports advanced visualization techniques for debugging the agent being trained. Coach supports many state-of-the-art reinforcement learning algorithms, which are separated into three main classes - value optimization, policy optimization, and imitation learning. Coach supports a large number of environments which can be solved using reinforcement learning.

code-catalog-python serves as a grab-bag of small, readable Python examples that illustrate common algorithms, data structures, and utility patterns. Each snippet aims to be self-contained and easy to study, with clear inputs, outputs, and the essential logic on display. The catalog format lets you scan for an example, copy it, and adapt it to your use case without wading through a large framework. It favors clarity over micro-optimizations so learners can grasp the idea before worrying about edge performance. Over time it becomes a personal cookbook of solutions you can remix across projects. This approach is especially helpful when you need a quick refresher on a technique you haven’t used in a while.

Reusable code patterns which you can use as reference or copy to your project. Achieve small or large tasks using recipes that contain steps, scripts, and config files.

Extracts code from source files for inclusion in documentation.

An application written in Python which optimizes and shrinks your web code into a smaller file.

CrUX is a collection of code writing utilities for developing XML based applications. The project is written in Python in an effort to be portable and cross platform compatible.

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

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.

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.

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.

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.

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

Codespell is a lightweight, open-source spell checker designed specifically for detecting and correcting common misspellings in source code, documentation, and text files. Unlike traditional spell checkers, Codespell is optimized for codebases, ensuring that it correctly identifies and suggests fixes for typographical errors without introducing false positives. It integrates easily into CI/CD pipelines, enabling developers to maintain clean and professional code and documentation. By focusing on commonly mistyped words and programming-specific terms, Codespell helps improve the readability and professionalism of open-source projects and enterprise software.

Provides a toolset and usage convention for Code Tags (eg TODO, FIXME, BUG) in source file comments.

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.

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.