Search Results for "database android"
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Showing 4 open source projects for "database android"
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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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HubSpot is an AI-powered customer platform with all the software, integrations, and resources you need to connect your marketing, sales, and customer service. HubSpot's connected platform enables you to grow your business faster by focusing on what matters most: your customers.
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1
LotsOfLyrics
A small tool to seach and show Lyrics offline
Based on a non build-your-own database stored on the Android device SDCard, LotsOfLyrics bring a avanced search window to Lyrics with full text search. Warning : no lyrics database inside -
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BBCT is a simple program that allows the user to enter data about baseball cards and search through the collection using limited criteria.
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3
A Cubierto
My final degree project about culinary app
My final degree project about culinary app in Android. -
4
Crowdfarming Database and Simulator
To log/share/analyze/optimize/simulate garden activity
An online database and cross-platform, game-like client where gardeners/farmers (small or large scale) can log their actions and measurements (such as weather, yield, current plant size). Any user can then play it back visually, or play with the data and see a simulation inferred from the knowledge database, or calculate an optimal design within given constraints, inferred from the knowledge available at that time. This is both a tool for playing, in order to entertain and inspire people... -
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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