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

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  • Skillfully - The future of skills based hiring Icon
    Skillfully - The future of skills based hiring

    Realistic Workplace Simulations that Show Applicant Skills in Action

    Skillfully transforms hiring through AI-powered skill simulations that show you how candidates actually perform before you hire them. Our platform helps companies cut through AI-generated resumes and rehearsed interviews by validating real capabilities in action. Through dynamic job specific simulations and skill-based assessments, companies like Bloomberg and McKinsey have cut screening time by 50% while dramatically improving hire quality.
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  • Self-hosted n8n: No-code AI workflows Icon
    Self-hosted n8n: No-code AI workflows

    Connect workflows. Integrate data

    A free-to-use workflow automation tool, n8n lets you connect all your apps and data in one customizable, no-code platform. Design workflows and process data from a simple, unified dashboard.
    Learn More
  • 1
    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
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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: 2 This Week
    Last Update:
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