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Showing 3 open source projects for "ui"
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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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Build Securely on AWS with Proven FrameworksMoving to the cloud brings new challenges. How can you manage a larger attack surface while ensuring great network performance? Turn to Fortinet’s Tested Reference Architectures, blueprints for designing and securing cloud environments built by cybersecurity experts. Learn more and explore use cases in this white paper.
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FloPy
A python application to extract rows/columns from .csv and .xls files.
FloPy is a utility application that simplifies the process of loading, filtering, and saving specific data from various file formats, including ".csv", ".xls", and ".xlsx". Its user-friendly graphical interface (GUI) ensures that anyone can use the application with ease. ### Author ### This project was created by SUVANKAR BANERJEE. You can find more about the author and contribute to the project on GitHub. ### License ### FloPy is released under the MIT License, promoting open... -
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Database to CSV
"Database to CSV" project stores/loads data between database and CSVs
"Database to CSV" allows to back-up data from database(Oracle, MySQL, SQL Server) in the form of CSV files. Each table data is stored in a separate CSV file. It also allows to load data from CSV files into the database. Program can be run from UI or from command line. There's one more advanced feature which allows merging of data from CSV file to Database. It is only available from command line. (It will take foreign keys and unique keys into consideration and then try to insert data with minimum change as possible). Note: 1) If tables do not exist, this program will not automatically create table while loading data from CSV. -
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EMET is an image metadata extraction tool intended to facilitate the management and preservation of digital images and their incorporation into external databases and applications. EMET was created by ARTstor through funding from NDIIPP.
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