Karpor: Intelligence and Visualization for Kubernetes Clusters

Karpor: Intelligence and Visualization for Kubernetes Clusters

Summary

Karpor is an open-source Kubernetes Visualization Tool designed to bring intelligence to your clusters. It provides advanced search, insightful analytics, and AI-powered operations for developers and platform engineering teams. Gain crucial visibility and streamline management across your Kubernetes environments with Karpor.

Repository Info

Updated on December 29, 2025
View on GitHub

Introduction

Karpor, developed by KusionStack, is an innovative open-source project that serves as an "Intelligence for Kubernetes" platform. It's recognized as a promising Kubernetes Visualization Tool, empowering developer and platform engineering teams with enhanced visibility and control over their Kubernetes clusters. Karpor aims to be a small, beautiful, vendor-neutral, developer-friendly, and community-driven solution, offering advanced capabilities in search, insight, and AI to simplify the complex Kubernetes ecosystem.

Installation

Karpor can be easily installed using Helm v3.5+. If you don't have Helm, you can get it from the official Helm website.

To install Karpor, follow these steps:

$ helm repo add kusionstack https://kusionstack.github.io/charts
$ helm repo update
$ helm install karpor kusionstack/karpor

For more detailed installation instructions, please refer to the Installation Guide on the official Karpor website.

Examples

Karpor enhances Kubernetes management through three core pillars: Search, Insight, and AI.

Search

Karpor offers automatic syncing of resources across multiple clusters, providing a unified view. Its powerful and flexible query capabilities allow users to efficiently retrieve and locate specific resources across diverse environments with ease.

Insight

The platform delivers crucial insights into your Kubernetes infrastructure. This includes compliance governance, helping you understand your status against various standards, and resource topology, which provides logical and topological views of resources within their operational context. Cost optimization features are also planned for future releases.

AI

Leveraging artificial intelligence, Karpor enables natural language operations, allowing users to interact with Kubernetes using plain language for more intuitive management. It provides contextual AI responses for smart assistance and aims to bring AIOps capabilities to automate and optimize Kubernetes management.

Visual examples and a live demo showcasing these features are available on the Karpor Live Demo and official website.

Why Use Karpor?

The Kubernetes ecosystem is constantly evolving, leading to increasing complexity that can be challenging to manage. This complexity not only burdens operations and maintenance teams but also hinders the adoption of new technologies, preventing users from fully leveraging Kubernetes' potential.

Karpor addresses these challenges by focusing on search, insights, and AI. Its vision is to help users navigate the intricate Kubernetes landscape, providing a clear value proposition: simplify management, enhance visibility, and empower teams with intelligent tools to overcome operational hurdles. It aims to break through the "increasingly complex maze of Kubernetes" by offering intuitive and powerful features.

Links

Explore Karpor further with these official resources: