Open Source Python Software Development Software - Page 49

Construct is a python module for bit-level, symmetrical parsing and building of data structures. Complex constructs are formed by a hierarchy of less-complex constructs, as well as user-defined constructs.

Container Training is an open educational repository containing slides, labs, scripts, and sample applications for learning Docker and Kubernetes. It supports both instructor-led workshops and self-paced study with little assumed prior container knowledge. Course material includes Docker fundamentals, Docker Swarm orchestration, and Kubernetes orchestration. A sample microservices application called DockerCoins is used to demonstrate deployment, scaling, networking, load balancing, and updates. Advanced chapters cover topics such as logging, metrics, secrets, security, and health checks. The repository also provides the source and publishing pipeline used to generate the public training slide decks.

Stable Diffusion WebUI ControlNet is an extension that adds ControlNet and related image-conditioning systems to AUTOMATIC1111’s Stable Diffusion WebUI. It injects control models dynamically without requiring them to be merged into the base Stable Diffusion checkpoint. Users can guide generation with structures such as edges, depth, poses, line art, segmentation maps, and other preprocessed inputs. Multiple ControlNet units can influence the same generation with independent weights and timing ranges. The extension supports txt2img, img2img, inpainting, masks, batch workflows, and High-Res Fix. It also works with T2I-Adapter and several related control architectures. Web and internal APIs allow other applications or extensions to control its generation features programmatically.

Python library for automatic convert date and time from various (primary mx.DateTime) format to user predefined format.

Convert numbers to words. Package includes base module, and language-specific modules for US English, (old) UK English, German, French, and Spanish, with more expected.

Powered by Cookiecutter, Cookiecutter Django is a framework for jumpstarting production-ready Django projects quickly. Cookiecutter Django works with Python 3.9 and renders Django projects with 100% starting test coverage. It has 12-Factor based settings via django-environment. Secure by default, beacuse we believe in SSL. Optimized development and production settings. Registration is handled via django-allauth. It comes with custom user model ready to go. Provides an optional basic ASGI setup for Websockets and an optional custom static build using Gulp and livereload. Send emails via Anymail (using Mailgun by default or Amazon SES if AWS is selected cloud provider, but switchable). Media storage using Amazon S3 or Google Cloud Storage. Docker support using docker-compose for development and production (using Traefik with LetsEncrypt support). Procfile for deploying to Heroku. Provides instructions for deploying to PythonAnywhere. You can run tests with unittest or pytest.

Modular python IDE with integrated GUI designer and many plugins.

CordovaGui is a gui frontend for Apache Cordova CLI. It is possible to create a hybrid mobile app using CordovaGui, you can add plugins, platforms, debug your app and build releases. With CordovaGui you can use html, css and javascript preprocessors in easy way. Every time you debug, build or open the index.html file in your browser using CordovaGui, your source files are compiled immediately.

CoreNet is Apple’s internal deep learning framework for distributed neural network training, designed for high scalability, low-latency communication, and strong hardware efficiency. It focuses on enabling large-scale model training across clusters of GPUs and accelerators by optimizing data flow and parallelism strategies. CoreNet provides abstractions for data, tensor, and pipeline parallelism, allowing models to scale without code duplication or heavy manual configuration. Its distributed runtime manages synchronization, load balancing, and mixed-precision computation to maximize throughput while minimizing communication bottlenecks. CoreNet integrates tightly with Apple’s proprietary ML stack and hardware, serving as the foundation for research in computer vision, language models, and multimodal systems within Apple AI. The framework includes monitoring tools, fault tolerance mechanisms, and efficient checkpointing for massive training runs.

Cormoran is a Python persistence framework. Currently the development is carried out on https://github.com/jaimegildesagredo/cormoran

Provides up-to-date data about Coronavirus outbreak. Includes numbers about confirmed cases, deaths and recovered. Support multiple data sources. Specify source parameter with ?source=nyt. NYT also provides a timeseries! To view timelines of cases by US counties use ?source=nyt&timelines=true. Currently, 3 different data sources are available to retrieve the data. Worldwide Data repository operated by the Johns Hopkins University Center for Systems Science and Engineering (JHU CSSE). U.S. County data that comes from the Conference of State Bank Supervisors. The New York Times is releasing a series of data files with cumulative counts of coronavirus cases in the United States. This API provides the timeseries at the US county level. jhu data-source will be used as a default source if you don't specify a source parameter in your request. Consume our API through our super awesome and interactive SwaggerUI.

A code generation tool that creates CRUD functions based on existing databases. The project is being rebuild and is currently unavailable.

Anthropic’s courses repository is a growing collection of self-paced learning materials that teach practical AI skills using Claude and the Anthropic API. It’s organized as a sequence of hands-on courses—starting with API fundamentals and prompt engineering—so learners build capability step by step rather than in isolation. Each course mixes short readings with runnable notebooks and exercises, guiding you through concepts like model parameters, streaming, multimodal prompts, structured outputs, and evaluation. Assignments emphasize realistic tasks such as building small utilities, testing prompts against edge cases, and measuring quality so you learn to ship things that work. The materials are written for developers but remain friendly to newcomers, with clear setup instructions and minimal boilerplate. Because the repo is live and maintained, lessons are updated as the SDK and models evolve, and issues are used to track fixes, clarifications, and new modules.

Cowser is a command-line tool (and Python library) that wraps a message in a speech or thought bubble and prints it above a randomly chosen animal. It supports 35 built-in animals, cowsay-style moods, colors, fortunes, interactive REPL sessions, and user-supplied art packs — while staying a pure, side-effect-free function you can also call from your own code.

A Python library that implements a C++ preprocessor.

Crusty the Package. Is a package generator for build systems. It uses upstream version controls to create snapshots that could be build automaticly in build systems.

CrypTen is a research framework developed by Facebook Research for privacy-preserving machine learning built directly on top of PyTorch. It provides a secure and intuitive environment for performing computations on encrypted data using Secure Multiparty Computation (SMPC). Designed to make secure computation accessible to machine learning practitioners, CrypTen introduces a CrypTensor object that behaves like a regular PyTorch tensor, allowing users to seamlessly apply automatic differentiation and neural network operations. Its design mirrors PyTorch’s modular and library-based structure, enabling flexible experimentation, debugging, and model development. The framework supports both encryption and decryption of tensors and operations such as addition and multiplication over encrypted values. Although not yet production-ready, CrypTen focuses on advancing real-world secure ML applications, such as training and inference over private datasets, without exposing sensitive data.

A hook script usable with TortoiseSVN (and possible other subversion clients/GUIs) providing transparent repository encryption (encryption/decryption at the client side).

A plugin for gedit that uses ctags to create a menu that can be used to easily navigate a code file in gedit.

The Cumulative Include Dependency Checker will help you measure the quality of the include hierarchy in a software project. It will also attempt to identify problem header files that have the most impact on your include hierarchy.

A compact compiled templating language in Python which implements just about the features of TAL, METAL together with Zope's i18n extensions and whose aims are simplicity, full test coverage and complete documentation.

Curtains is an easy to use, well-documented GUI toolkit with a pythonic API for creating beautiful applications on Windows.

CvsShell is a console-based cvs frontend. It provides convenient access to the cvs commands through a shell-like user interface. CvsShell is written in Python.

Please take a look at our project wiki for more detailed information: https://github.com/monsdar/CxxProf/wiki/What-is-CxxProf%3F

Cyclone is java-based rich GUI web tool for automating tasks with ease. Cyclone is a project that was borne out of necessity. Agreed, there are many native tools that allow task to be scheduled or automated on most operating systems, however, Cyclone is more than just an automation tool. In many programming languages, there are batch module/libraries available to schedule jobs, but need quite a bit of enhancements to provide similar feature set as Cyclone. Cyclone comes with a number of fascinating features Real-time progress and status montoring for jobs Pause, resume and stop an executing job Multi-user environment with in-built authentication and authorization modules Polygot - jobs can be implemented in java, groovy, ruby, javascript and python Easy administration and configuration - user management etc. Extensible security module