Showing 4 open source projects for "python user interface"

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    MongoDB Atlas runs apps anywhere

    Deploy in 115+ regions with the modern database for every enterprise.

    MongoDB 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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    Run applications fast and securely in a fully managed environment

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  • 1
    zetadb is a python/zope tool that allows a rapid application development of relational database oriented web applications. It generates transladable and user friendly applications to maintain data over the web. It also implements OpenOffice integration
    Downloads: 0 This Week
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  • 2
    ConDEnSE (Confidential Data Enabled Statistical Exploration) will be a web-based environment for statistical analysis of confidential data from various database sources, based on Plone and R, and using the Jackknife method of confidentiality protection.
    Downloads: 0 This Week
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  • 3
    Narya is a forum/incubator software, based on a Python/Zope/MySQL platform. Emphasis on graphics support and collaboration for space and technology development. Compare PHP/MySQL forums.
    Downloads: 0 This Week
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  • 4
    Web helpdesk with "expert-system" diagnosis. Designed for flexibility and rapid, accurate entry of requests.
    Downloads: 0 This Week
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  • Cloud data warehouse to power your data-driven innovation Icon
    Cloud data warehouse to power your data-driven innovation

    BigQuery is a serverless and cost-effective enterprise data warehouse that works across clouds and scales with your data.

    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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