Showing 2 open source projects for "cloud drive"

View related business solutions
  • $300 Free Credits to Build on Google Cloud Icon
    $300 Free Credits to Build on Google Cloud

    New to Google Cloud? Get $300 in credits to explore Compute Engine, BigQuery, Cloud Run, Gemini Enterprise Agent Platform, and more.

    Start your next project with $300 in free Google Cloud credit. Spin up VMs, run containers, query petabytes in BigQuery, or build agents with Gemini Enterprise Agent Platform. Once your credits are used, keep building with 20+ always-free tier products including Compute Engine, Cloud Storage, GKE, and Cloud Run functions. No commitment required—just sign up and start building.
    Claim $300 Free
  • Build Agents and Models on One Platform Icon
    Build Agents and Models on One Platform

    Everything you need to build production-ready agents and models. Access 200+ Google and third-party AI models and tools.

    Gemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
    Try It Free
  • 1
    Mediary Scout

    Mediary Scout

    Agent-driven media library for your cloud drives

    Mediary Scout is an agent-driven media library that acquires movies, television shows, and anime for supported cloud drives. An LLM agent searches connected indexers, selects a result according to quality and subtitle preferences, transfers it, and verifies what arrived. The library tracks season coverage, missing episodes, airing status, and scheduled gap-filling tasks. It supports 115, Quark, and GuangYaPan as separate workspaces without requiring local media downloads. Users can run an...
    Downloads: 0 This Week
    Last Update:
    See Project
  • 2
    Earth Engine API

    Earth Engine API

    Python and JavaScript bindings for calling the Earth Engine API

    ...The API exposes functional operators for map algebra, reducers, joins, and machine learning that scale transparently on Earth Engine’s backend. Developers authenticate once, work interactively in notebooks or the Code Editor, and export results to Cloud Storage, Drive, or asset collections. Visualization helpers render tiled layers and charts so analysts can iterate quickly on workflows like land-cover mapping, change detection, or time-series analysis. By combining petabyte-scale data with concise functional transforms, the API turns complex remote-sensing pipelines into reproducible scripts that are easy to share.
    Downloads: 0 This Week
    Last Update:
    See Project
  • Previous
  • You're on page 1
  • Next