Showing 2 open source projects for "code-server"

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    Project Management Software

    Understand how PI® can automate your processes

    Project Insight offers powerful tools for project managers and teams in order to deliver optimal performance and ensure success. An enterprise project and portfolio management software, Project Insight offers personalized dashboards, intelligent scheduling, resource management, collaboration, time and expense tracking, project and portfolio tracking, workflow, and reporting features to help teams work better and get real results. Project Insight is suitable for small teams, mid-market companies, and large enterprises.
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  • Enterprise-Class Managed File Transfer. Icon
    Enterprise-Class Managed File Transfer.

    For organizations that need to automate secure file transfers to protect sensitive data.

    Diplomat MFT by Coviant Software is a secure, reliable managed file transfer solution designed to simplify and automate SFTP, FTPS, and HTTPS file transfers. Built for seamless integration, Diplomat MFT works across major cloud storage platforms, including AWS S3, Azure Blob, Google Cloud, Oracle Cloud, SharePoint, Dropbox, Box, and more.
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    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: 3 This Week
    Last Update:
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  • 2
    hug

    hug

    Embrace the APIs of the future. For developing APIs

    ...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. Writing tests for APIs written on-top of hug should be easy and intuitive. Magic done once, in an API framework, is better than pushing the problem set to the user of the API framework. Be the basis for next-generation Python APIs, embracing the latest technology.
    Downloads: 0 This Week
    Last Update:
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