Reverse Dependencies of google-cloud-compute

The following projects have a declared dependency on google-cloud-compute:

• agentdesk — A desktop for AI agents
• agentdesk_dg — A desktop for AI agents
• apache-airflow-providers-google — Provider package apache-airflow-providers-google for Apache Airflow
• aviatrix-migration-gcp — no summary
• barman — Backup and Recovery Manager for PostgreSQL
• chaostoolkit-google-cloud-platform — Google Cloud Platform extension for the Chaos Toolkit
• chip-wallet-dstack — dstack is an open-source orchestration engine for running AI workloads on any cloud or on-premises.
• cloudguard-modules — Cloudguard provider modules written in python to be used in cloudguard CLI
• couchformation — Couchbase Cloud Automation
• dbtr — An extension for the dbt CLI that allows deploying and running jobs remotely
• dstack — dstack is an open-source orchestration engine for running AI workloads on any cloud or on-premises.
• fabfed-py — Fabfed Framework
• ga4-data-import — Google Analytics 4 Data Import pipeline
• gceimgutils — Command-line tools to manage images in GCE
• gcpfwup — Firewall rule updater for Google Cloud Platform
• google-ssl — Google Cloud Function SSL Cert Rotator tool
• google-vm-scheduler — A package for scheduling virtual machines on Google Cloud
• gpuhunt — A catalog of GPU pricing for different cloud providers
• indxdatalaketools — Package that allows the upload of files to a datalake
• joes-giant-toolbox — A large collection of general python functions and classes that I use in my daily work
• kcli — Provisioner/Manager for Libvirt/Vsphere/Aws/Gcp/Hcloud/Kubevirt/Ovirt/Openstack/IBM Cloud and containers
• launchflow — Python-native infrastructure for the cloud: LaunchFlow provides a Python SDK that automatically creates and connects to production-ready infrastructure (such as Postgres, Redis, etc..) in your own cloud account. LaunchFlow completely removes the need for DevOps allowing you to focus on your application logic.
• nebari — A Jupyter and Dask-powered open source data science platform.
• pano-airflow — Programmatically author, schedule and monitor data pipelines
• pipeline-core — The PipelineCore CLI.
• pycloudlib — Python library to launch, interact, and snapshot cloud instances
• pyclvm — Command Line Utility to connect or redirect ports to a Cloud Virtual Machine
• radops — ops tooling for Striveworks's R&D team
• simplegcd — A package for simple deployment of Google cloud instance groups
• skyatc — no summary
• skyplane — Skyplane efficiently transports data between cloud regions and providers.
• skyplane-dev — Skyplane efficiently transports data between cloud regions and providers.
• skyplane-nightly — Skyplane efficiently transports data between cloud regions and providers.
• Skyway-cloud — Skyway -- a Python package for bridging on-premises and cloud resources
• sparecores-crawler — Pull and standardize data on cloud compute resources.
• unfurl — use Git to record and deploy changes to your DevOps infrastructure
• unskript-cloudnative-infra — Opensource unSkript Python Package repository
• verinfast — This tool safely and securely analyzes applications for benchmarking.
• wandb — A CLI and library for interacting with the Weights & Biases API.
• wanna-ml — CLI tool for managing ML projects on Vertex AI
• yellowdog-python-examples — Example Python commands using the YellowDog Python SDK