kubernetes-client/python

Official Python client library for kubernetes

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Summary Information

Updated 33 minutes ago
Added to GitGenius on September 8th, 2026
Created on October 31st, 2016
Open Issues & Pull Requests: 71 (+0)
GitHub issues: Enabled
Number of forks: 3,523
Total Stargazers: 7,660 (+0)
Total Subscribers: 139 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 3.4 days
Mean response time: 34.5 days
90th percentile: 31.4 days
Tracked items: 200

How this project is maintained

Around half of the issues opened in the past year never receive a reply. 95% of open issues come from outside the core team, so the backlog reflects real-world use rather than internal planning. Only 3% of issues opened in the past year have been closed.

Charts & Analytics

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Issue Activity (beta)

Open issues: 38
New in 7 days: 0
Closed in 7 days: 2
Avg open age: 1,203 days
Stale 30+ days: 28
Stale 90+ days: 17

Recent activity

Opened in 7 days: 0
Closed in 7 days: 1
Comments in 7 days: 0
Events in 7 days: 1

Top labels

  • kind/bug (112)
  • lifecycle/rotten (78)
  • help wanted (47)
  • kind/feature (40)
  • kind/documentation (10)
  • lifecycle/frozen (9)
  • kind/support (4)
  • lifecycle/stale (4)

Detailed Description

The Kubernetes Python Client is an official client library for interacting with Kubernetes clusters through Python.

The library solves the problem of programmatically managing Kubernetes resources by providing Python bindings to the Kubernetes API. It allows developers to list, watch, and manipulate cluster objects through straightforward Python code rather than kubectl commands or raw HTTP requests. The client supports both synchronous and asynchronous patterns, enabling integration into different application architectures.

Teams building automation, operators, or management tools for Kubernetes should consider this library. It suits any Python-based application that needs to interact with a Kubernetes cluster, from simple monitoring scripts to complex orchestration systems. The library follows semantic versioning, which means code written against a stable major version will continue working with supported Kubernetes cluster versions, providing predictable upgrade paths.

The project maintains active engagement with the Kubernetes community through its participation in Kubernetes special interest groups. Development follows a structured approach aligned with upstream Kubernetes release cycles and API machinery standards. The library receives regular updates to track new Kubernetes API features and maintain compatibility across cluster versions.