Showing 4 open source projects for "python user interface"

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  • 1
    CapRover

    CapRover

    Scalable PaaS (automated Docker+nginx), aka Heroku on Steroids

    CapRover is an extremely easy-to-use app/database deployment & web server manager for your NodeJS, Python, PHP, ASP.NET, Ruby, MySQL, MongoDB, Postgres, WordPress (and etc...) applications! It's blazingly fast and very robust as it uses Docker, Nginx, LetsEncrypt and NetData under the hood behind its simple-to-use interface. For a developer who does not like spending hours and days setting up a server, building tools, sending code to the server, building it, getting an SSL certificate...
    Downloads: 3 This Week
    Last Update:
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  • 2
    Pachtop

    Pachtop

    Cross-platform system monitor with real-time performance and resource

    Pachtop is a fast, open-source system monitoring application that provides a modern and elegant way to view your computer’s performance. Built with Rust, Tauri, and React, it delivers real-time insights into CPU, RAM, disk, and network usage while remaining lightweight and responsive. Designed for Windows, macOS, and Linux, Pachtop displays both system metrics and running applications in a clean, intuitive interface. Users can easily track resource consumption, analyze storage, and check...
    Downloads: 4 This Week
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  • 3
    RAP2-DELOS

    RAP2-DELOS

    Open source interface management tool

    RAP2 is a new project redone based on RAP1. It can provide you with convenient interface document management, mock, export and other functions. It contains two components (corresponding to two Github Repository). This tool is a development tool, and the related API has not been subjected to any security verification such as XSS. Please do not rely on any service of RAP in the production environment!Install Docker and Docker Compose (Linux users need to install separately). It is recommended...
    Downloads: 0 This Week
    Last Update:
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  • 4
    Log.io

    Log.io

    Real-time log monitoring in your browser

    Inputs watch log files for changes, send new log messages to the server, which broadcasts to web clients. Log messages are tagged with stream and source information based on user configuration. log.io has no persistence layer. File inputs are informed of file changes via inotify, and log messages hop from input to server to web client via TCP and socket.io, respectively. log.io uses a stateless TCP API to receive log messages. Writing a third party harvester is easy. Open a TCP connection...
    Downloads: 0 This Week
    Last Update:
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