Showing 2 open source projects for "webpage image database"

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  • Push Code. Get a Production URL. Done. Icon
    Push Code. Get a Production URL. Done.

    Cloud Run deploys any language instantly. Scales to zero. Pay only when code runs.

    Skip the Kubernetes configs. Cloud Run handles HTTPS, scaling, and infrastructure automatically. Two million requests free per month.
    Try Cloud Run Free
  • 99.99% Uptime for MySQL and PostgreSQL on Google Cloud Icon
    99.99% Uptime for MySQL and PostgreSQL on Google Cloud

    Enterprise Plus edition delivers sub-second maintenance downtime and 2x read/write performance. Built for critical apps.

    Cloud SQL Enterprise Plus gives you a 99.99% availability SLA with near-zero downtime maintenance—typically under 10 seconds. Get 2x better read/write performance, intelligent data caching, and 35 days of point-in-time recovery. Supports MySQL, PostgreSQL, and SQL Server with built-in vector search for gen AI apps. New customers get $300 in free credit.
    Try Cloud SQL Free
  • 1
    SQLPad

    SQLPad

    Web-based SQL editor run in your own private cloud

    ...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 stability. See docker-examples directory for example docker-compose setup with SQL Server.
    Downloads: 6 This Week
    Last Update:
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  • 2
    Chartbrew

    Chartbrew

    Open-source web platform used to create live reporting dashboards

    ...It is recommended you head over to the more detailed documentation to find out how to set up Chartbrew. The CLI tool creates a chartbrew/.env file which you can configure at any time if you want to change the database, API & client host, etc. The file contains comments explaining what each environmental variable is for. Before running the commands below, make sure you have a MySQL server already running and an empty database that Chartbrew can use. If you want to run your Docker image with new environmental variables, it's important to build the client application again withing the image.
    Downloads: 2 This Week
    Last Update:
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