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Showing 2 open source projects for "data analysis and visualizing"

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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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    Enterprise-grade ITSM, for every business

    Give your IT, operations, and business teams the ability to deliver exceptional services—without the complexity.

    Freshservice is an intuitive, AI-powered platform that helps IT, operations, and business teams deliver exceptional service without the usual complexity. Automate repetitive tasks, resolve issues faster, and provide seamless support across the organization. From managing incidents and assets to driving smarter decisions, Freshservice makes it easy to stay efficient and scale with confidence.
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    SQLPad

    SQLPad

    Web-based SQL editor run in your own private cloud

    A web app for writing and running SQL queries and visualizing the results. Supports Postgres, MySQL, SQL Server, ClickHouse, Crate, Vertica, Trino, Presto, SAP HANA, Cassandra, Snowflake, Google BigQuery, SQLite, TiDB, and many more via ODBC. The docker image runs on port 3000 and uses /var/lib/sqlpad for the embedded database directory. latest tag is continuously built from latest commit in repo. Only use that if you want to live on the edge, otherwise use specific version tags to ensure...
    Downloads: 1 This Week
    Last Update:
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  • 2
    CloudMapper

    CloudMapper

    CloudMapper analyzes your Amazon Web Services (AWS) environments

    CloudMapper helps you analyze your Amazon Web Services (AWS) environments. The original purpose was to generate network diagrams and display them in your browser (functionality no longer maintained). It now contains much more functionality, including auditing for security issues. If you want to add your own private commands, you can create a private_commands directory and add them there. You must have AWS credentials configured that can be used by the CLI with reading permissions for the...
    Downloads: 1 This Week
    Last Update:
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