Showing 5 open source projects for "python code editor"

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  • Propel Software: Product Value Management Platform for Manufacturers Icon
    Propel Software: Product Value Management Platform for Manufacturers

    For modern product companies that need to connect product and commercial teams successfully

    Propel is a cloud-native Product Value Management platform that unifies PLM, QMS, and PIM in one connected system, giving manufacturers complete visibility and control across the entire product lifecycle. It provides a single source of truth for all product data, streamlines change management, strengthens quality and compliance processes, and accelerates time-to-market by eliminating the silos and manual steps that slow teams down.
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  • Polygon Software | Apparel Software | PLM and ERP Solutions Icon
    Polygon Software | Apparel Software | PLM and ERP Solutions

    Small to mid-sized sewn goods manufacturers and textile mills.

    PolyPM is an integrated enterprise resource planning (ERP) and product lifecycle management (PLM) solution developed by Polygon Software. Built for small to medium-sized apparel manufacturers, PolyPM enables businesses to integrate all aspects of the product development, supply chain and production processes, as well as instantly access all their style and manufacturing information anywhere in the world. This allows businesses to shorten time-to-market, incur lower development costs, and improve customer service and worker productivity.
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  • 1
    AWS Toolkit for Visual Studio Code

    AWS Toolkit for Visual Studio Code

    Local Lambda debug, CodeWhisperer, SAM/CFN syntax, etc.

    ...The AWS CDK Explorer enables you to work with AWS Cloud Development Kit (CDK) applications. It shows a top-level view of your CDK applications that have been synthesized in your workspace. Amazon CodeWhisperer provides inline code suggestions using machine learning and natural language processing on the contents of your current file. Supported languages include Java, Python and Javascript.
    Downloads: 1 This Week
    Last Update:
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  • 2
    Thunder Client

    Thunder Client

    Thunder Client is a lightweight Rest API Client Extension for VS Code

    ...Themes: The extension supports VS Code themes. Offline & Local Storage: Works offline and saves all the requests data locally on your device. Git Sync: Save requests data in current workspace. Thunder Client is built with Javascript, Typescript, Flexbox, Ace Editor, Got. Enable this setting when you'd like to save requests data in the current workspace.
    Downloads: 33 This Week
    Last Update:
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  • 3
    Posting

    Posting

    The modern API client that lives in your terminal

    ...Posting supports saving requests in a readable, version-control-friendly format, making it ideal for collaboration and reproducibility. It also includes scripting capabilities, enabling users to run Python code before and after requests to automate workflows. Overall, Posting brings a modern, customizable, and developer-centric API testing experience to the terminal.
    Downloads: 0 This Week
    Last Update:
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  • 4
    Sparkler - for API development

    Sparkler - for API development

    Cross platform API request builder to make HTTP with different methods

    Cross platform API request builder to make HTTP with different methods and WebSocket connection and you can send and receive data
    Downloads: 0 This Week
    Last Update:
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  • Junie, the AI coding agent by JetBrains Icon
    Junie, the AI coding agent by JetBrains

    Your smart coding agent

    Junie is an AI-powered coding agent developed by JetBrains designed to enhance developer productivity by integrating directly into popular IDEs such as IntelliJ IDEA, PyCharm, and Android Studio. It supports developers by assisting with code completion, testing, and inspections, ensuring code quality and reducing debugging time.
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  • 5
    hug

    hug

    Embrace the APIs of the future. For developing APIs

    hug aims to make developing Python-driven APIs as simple as possible, but no simpler. As a result, it drastically simplifies Python API development. Make developing a Python-driven API as succinct as a written definition. The framework should encourage code that self-documents. It should be fast. A developer should never feel the need to look somewhere else for performance reasons.
    Downloads: 0 This Week
    Last Update:
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