Open Source Python Software Development Software - Page 49

Python Software Development Software

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Browse 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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  • 1
    Computer Science Flash Cards

    Computer Science Flash Cards

    Mini website for testing both general CS knowledge and enforce coding

    This repository collects concise flash cards that cover the core ideas of a traditional computer science curriculum with a focus on interview readiness. The cards distill topics like time and space complexity, classic data structures, algorithmic paradigms, operating systems, networking, and databases into short, testable prompts. They are designed for spaced-repetition style study so you can cycle frequently through fundamentals until recall feels automatic. Many cards point at canonical definitions or contrasts (e.g., stack vs. queue, BFS vs. DFS) to strengthen conceptual boundaries. The material favors clarity and breadth over exhaustive proofs, making it ideal for quick refreshers during a study plan. It complements longer resources by giving you a lightweight way to keep key concepts top of mind.
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  • 2
    ConVirt is an intuitive, graphical management tool providing comprehensive life cycle management for Virtual Machines.
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  • 3
    Condenser is a tool for finding duplicated Java code.
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  • 4
    A python module for ultra simple handling of configuration files. Also useful for human readable data persistence. Flexible and simple. Source and issue tracking now at: https://github.com/DiffSK/configobj
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  • 5
    Consistent Depth

    Consistent Depth

    We estimate dense, flicker-free, geometrically consistent depth

    Consistent Depth is a research project developed by Facebook Research that presents an algorithm for reconstructing dense and geometrically consistent depth information for all pixels in a monocular video. The system builds upon traditional structure-from-motion (SfM) techniques to provide geometric constraints while integrating a convolutional neural network trained for single-image depth estimation. During inference, the model fine-tunes itself to align with the geometric constraints of a specific input video, ensuring stable and realistic depth maps even in less-constrained regions. This approach achieves improved geometric consistency and visual stability compared to prior monocular reconstruction methods. The project can process challenging hand-held video footage, including those with moderate dynamic motion, making it practical for real-world usage.
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  • 6
    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.
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  • 7
    Python library for automatic convert date and time from various (primary mx.DateTime) format to user predefined format.
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  • 8
    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.
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  • 9
    Coral is a tool and a development platform to create and transform models and modeling languages. It can be used to edit UML models, to develop editors for other modeling languages and to implement MDA and QVT-like model transformations.
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  • 10
    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.
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  • 11
    CoreNet

    CoreNet

    CoreNet: A library for training deep neural networks

    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.
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  • 12
    Cormoran
    Cormoran is a Python persistence framework. Currently the development is carried out on https://github.com/jaimegildesagredo/cormoran
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  • 13
    Coronavirus Tracker API

    Coronavirus Tracker API

    API for tracking the global coronavirus (COVID-19, SARS-CoV-2)

    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.
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  • 14
    A code generation tool that creates CRUD functions based on existing databases. The project is being rebuild and is currently unavailable.
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  • 15
    A Python library that implements a C++ preprocessor.
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  • 16
    CrossBridge-Community

    CrossBridge-Community

    C/C++ Compiler for the ActionScript Virtual Machine (AVM2)

    Previously codenamed "FlasCC" and "Alchemy," CrossBridge provides a complete BSD-like C/C++ development environment based on GCC that lets you compile your C/C++ code to target the Adobe Flash Runtimes (Flash Player and AIR). With CrossBridge you can port almost any existing C/C++ code to the web, across browsers. Forum: http://forum.crossbridge.io/ GitHub - SDK Source: https://github.com/crossbridge-community/crossbridge/ GitHub - Issue Tracker: https://github.com/crossbridge-community/crossbridge/issues GitHub - Wiki: https://github.com/crossbridge-community/crossbridge/wiki GitHub - Examples: https://github.com/crossbridge-community Demo: http://www.vpmedia.hu/crossbridge/neverball Tutorials: https://www.adobe.com/devnet/tagsearch.tsb.prod-_sl_flascc_v_.tse.html http://bruce-lab.blogspot.hu/2014/01/crossbridgeflascc-resources-collection.html https://tv.adobe.com/watch/max-2013/from-c-to-flash-the-power-of-the-adobe-flash-c-compiler/
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  • 17
    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.
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  • 18
    CrypTen

    CrypTen

    A framework for Privacy Preserving Machine Learning

    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.
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  • 19
    A hook script usable with TortoiseSVN (and possible other subversion clients/GUIs) providing transparent repository encryption (encryption/decryption at the client side).
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  • 20

    Cryptography Tools

    Classic & Modern Cryptography tools

    Cryptography Tools is a project to develop demonstration tools on classic (currently Caesar and Playfair) & modern crypto-systems, including private & public key encryptions, digital signatures, cryptographic hashes and authenticated encryption.
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  • 21
    A plugin for gedit that uses ctags to create a menu that can be used to easily navigate a code file in gedit.
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  • 22
    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.
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  • 23
    Curtain
    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.
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  • 24
    Curtains is an easy to use, well-documented GUI toolkit with a pythonic API for creating beautiful applications on Windows.
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  • 25
    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.
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