Search Results for "no database"
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Showing 4 open source projects for "no database"
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Over two-thirds of people reuse passwords across sites, resulting in an increasingly insecure e-commerce ecosystem. Learn how passwordless can not only mitigate these issues but make the authentication experience delightful. Implement Auth0 in any application in just five minutes
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Red Hat Enterprise Linux (RHEL) on Microsoft Azure provides a secure, reliable, and flexible foundation for your cloud infrastructure. Red Hat Enterprise Linux on Microsoft Azure is ideal for enterprises seeking to enhance their cloud environment with seamless integration, consistent performance, and comprehensive support.
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Kangas Sound Editor
Synthesizer, mixing, sound effects, music composition and production.
This kangaroo-themed program allows the user to create their own music and sound effects, effectively from scratch. There are two variants of the program: Kangas Sound Editor which requires MySQL for its database, and Kangas Sound Editor QI which does not (it uses an internal database - HSQLDB - instead). Kangas Sound Editor (QI) uses a system of boxes or cells, which are placed by the user onto a timeline using drag-and-drop, and which represent entities such as chords, repetition... -
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This piece of software is designed to let a DJ get his job done more easily. You can easily manage your collection of vinyls, cds, mp3s and save and visualize possible transitions between these tracks.
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Open source OSX audio sequencing project with community functionality for collaborative music production/performance. This project is written in C++ and leverages the Apple Carbon framework.
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JiMix is an interactive jukebox with remote access. Based on 100% java code it provides remote control trough web access and RMI-clients. Songs are selected mixed based on their configuration in a mySQL (any JDBC) database.
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BigQuery Studio provides a single, unified interface for all data practitioners of various coding skills to simplify analytics workflows from data ingestion and preparation to data exploration and visualization to ML model creation and use. It also allows you to use simple SQL to access Vertex AI foundational models directly inside BigQuery for text processing tasks, such as sentiment analysis, entity extraction, and many more without having to deal with specialized models.
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