Search Results for "python user interface"
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Showing 3 open source projects for "python user interface"
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MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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Turn Your Content into Interactive Magic - For FreeTransform anything you share into an engaging digital experience - for free. Instantly convert your PDFs, slides, and files into dynamic, interactive sessions with built-in collaboration tools, activities, and real-time assessment. From teaching to training to team building, make every presentation unforgettable. Used by millions for education, business, and professional development.
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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... -
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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... -
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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...
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