kr8s VS python

Compare kr8s vs python and see what are their differences.

kr8s

A batteries-included Python client library for Kubernetes that feels familiar for folks who already know how to use kubectl (by kr8s-org)

python

Official Python client library for kubernetes (by kubernetes-client)
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kr8s python
8 22
721 6,444
5.3% 1.2%
9.3 7.9
7 days ago 5 days ago
Python Python
BSD 3-clause "New" or "Revised" License Apache License 2.0
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

kr8s

Posts with mentions or reviews of kr8s. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-04-12.

python

Posts with mentions or reviews of python. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-09-13.

What are some alternatives?

When comparing kr8s and python you can also consider the following projects:

robusta - Kubernetes observability and automation, with an awesome Prometheus integration

helm - The Kubernetes Package Manager

dask-kubernetes - Native Kubernetes integration for Dask

kubebuilder - Kubebuilder - SDK for building Kubernetes APIs using CRDs

recommenders - Best Practices on Recommendation Systems

pyJoules - A Python library to capture the energy consumption of code snippets

homelab-k3s

bicep - Bicep is a declarative language for describing and deploying Azure resources

openshift-restclient-python - Python client for the OpenShift API

control-flag - A system to flag anomalous source code expressions by learning typical expressions from training data

devops-exercises - Linux, Jenkins, AWS, SRE, Prometheus, Docker, Python, Ansible, Git, Kubernetes, Terraform, OpenStack, SQL, NoSQL, Azure, GCP, DNS, Elastic, Network, Virtualization. DevOps Interview Questions

szurubooru - Image board engine, Danbooru-style.