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Data sourced from GitHub API

  1. Home
  2. Organizations
  3. Google Cloud Platform
Google Cloud PlatformOrganization

Google Cloud Platform

@googlecloudplatform โ€ข Open source projects from googlecloudplatform. Use this route to separate flagship concentration from portfolio breadth before you treat a publisher as broadly strong.

Portfolio concentration

97%

Top three share

Shows whether the organization is driven by one breakout repo or several visible projects.

Breadth

30 repos

Visible snapshot

29 repositories updated in the last 90 days.

Leading language

Python

Portfolio mix

Python (10), Shell (4), Go (3)

Average size

289

Stars per repository

Useful for distinguishing one flagship-heavy publisher from a repeatable portfolio.

Back to organizationsCompare repositories
Updated: 2026-08-04(23h ago)GitHub API fallback30 repositories

Portfolio Shape

97%

of the visible star count comes from this organization's top three repositories.

Average Repository Size

289

stars per repository in this same snapshot.

Current Mix

Python

is the most common language here, with 29 repositories updated in the last 90 days.

Why this rank

This organization stands out because one flagship repo drives 96% of its visible star count.

Flagship share 96%Breakout repo: knowledge-catalog

Organization pages work best when you separate portfolio breadth from flagship concentration. In Google Cloud Platform's case, the visible top three repositories account for about 97% of total stars in this snapshot, which helps explain whether the organization is known for one breakout project or for a broader repeatable portfolio.

The dominant language mix here is Python (10), Shell (4), Go (3). That makes this page useful not just for popularity checks, but also for seeing what technical shape an organization's public ecosystem actually has.

Source: GitHub API fallback. This is the same cache-first snapshot used by the organization ranking list, so the summary view and the detail view should stay aligned.

Top Repositories

#RepositoryLanguageStars๐Ÿด ForksUpdated
1googlecloudplatform/knowledge-catalog

Google Cloud Knowledge Catalog Tools and Samples

TypeScript8.3K703Today
2googlecloudplatform/cxas-scrapi

A powerful Python API, CLI, and set of Agent Skills for CX Agent Studio to automate, evaluate, and scale your agents with ease.

Python8367Today
3googlecloudplatform/data-agent-kitPython5216Today
4googlecloudplatform/genmedia-izumi-agentPython4391 weeks ago
5googlecloudplatform/BigQuery-Agent-Analytics-SDK

An open-source Python SDK for analyzing, evaluating, and curating agent traces stored in BigQuery. Built on top of the BigQuery Agent Analytics, it provides a consumption-layer toolkit for agent observability, analysis, evaluation, and advanced capabilities like context graph at scale.

Python3614Today
6googlecloudplatform/k8s-aibom

A Kubernetes controller that generates CycloneDX 1.6 ML-BOM documents for AI workloads at runtime โ€” inference services, agent stacks, RAG pipelines, training jobs, evaluation harnesses โ€” with auditor-traceable evidence for every attribute.

Go3361 weeks ago
7googlecloudplatform/cluster-autoscalerGo251Today
8googlecloudplatform/app-toolbox

Production-safe profiling and eBPF diagnostic toolbox for live containers on GKE and Container-Optimized OS (COS) hosts without restarting target pods.

Shell101Today
9googlecloudplatform/cloud-networking-solutions

Validated blueprints, reference architectures, and Terraform configurations for Google Cloud Networking solutions.

HCL1016Today
10googlecloudplatform/cortex-framework

Google Cloud Cortex Framework v7 provides solution accelerators that help you build trusted, high-quality data products ready for advanced analytics and agentic use cases. The framework uses Google Cloud's products including BigQuery, Dataform, Knowledge Catalog, and Gemini Enterprise Agent Platform.

JavaScript90Today
11googlecloudplatform/orchestration-pipelinesPython915 days ago
12googlecloudplatform/lakehouse-solutionsJupyter Notebook721 months ago
13googlecloudplatform/mdk-lightweightPython621 months ago
14googlecloudplatform/bootkon

Google Cloud Bootkamp & Hackathon (Bootkon)

Shell523 weeks ago
15googlecloudplatform/opentelemetry-samples

This repository hosts OpenTelemetry Samples for Google Cloud.

Java52Today
16googlecloudplatform/gemini-enterprise-eval-studioTypeScript41Today
17googlecloudplatform/hcls-mcp-serversPython411 weeks ago
18googlecloudplatform/Universal-Commerce-Protocol-Analytics402 months ago
19googlecloudplatform/key-protection-moduleGo4121 weeks ago
20googlecloudplatform/fsi-gecx-bundle

This digital banking demo showcases a flexible, secure, and AI-driven platform designed to modernize the banking experience.

Python31Today
21googlecloudplatform/ces-genesys-chatPython30Today
22googlecloudplatform/bigquery-remote-mcp313 months ago
23googlecloudplatform/gdc-agPython222 weeks ago
24googlecloudplatform/foodai-ordering-mobile-sdkSwift201 months ago
25googlecloudplatform/rdma-core-gcpC211 months ago
26googlecloudplatform/jsonnet-iacJsonnet112 weeks ago
27googlecloudplatform/network-observability-tutorialsShell101 months ago
28googlecloudplatform/spack-configuration003 weeks ago
29googlecloudplatform/advanced-compute-imagesShell003 weeks ago
30googlecloudplatform/terraform-google-dataprocHCL001 weeks ago

Next step after the organization read

Open a flagship repository, compare a couple of portfolio leaders, or return to the organization map when you want a broader concentration read.
Open flagship repoCompare repositoriesBack to organizations

Learn and methodology

Keep trust-building context reachable, but behind the first data read instead of ahead of it.
GuideMethodologyArticlesWeekly Digest

How to read this organization snapshot

Total stars are useful as a discovery signal, but they do not tell you whether a team maintains every repository equally. Pair this page with release cadence, maintainer activity, and the flagship concentration shown above before making adoption decisions.

For broader background on GitStar's ranking logic and editorial guidance, see Methodology & Editorial Standards.