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pypiserver chart version 0.1.8 released

· 2 min read
Burak Ince
Burak Ince
Software Developer

We’re excited to announce the release of the latest version of our Helm chart for pypiserver — version 0.1.8 — now available as of August 19, 2025. This release delivers support for app version v2.4.0, bringing new features and meaningful improvements to make your Helm-based deployments even more seamless.

What’s New in Chart Version 0.1.8​

The 0.1.8 release updates both the Helm chart and the underlying pypiserver image. Here’s what’s included:

  • ✅ Updated underlying image to pypiserver/pypiserver:v2.4.0

Check out the full release notes on GitHub for complete details.

Getting Started with pypiserver 0.1.8​

Want to try it out? Our detailed installation guide walks you through everything you need:

  • Quick-start installation using default values
  • How to fine-tune chart values to suit your environment
  • Best practices for production deployments

Whether you're running on a local cluster or cloud provider like AWS or Azure, our documentation helps you get started quickly and reliably.

Why Use the pypiserver Helm Chart?​

Maintained by the open-source GitHub Community Charts project, the pypiserver Helm chart is built to simplify Kubernetes application packaging. Here’s what makes it stand out:

  • ⚙️ Easy to install and customize
  • 🌍 Backed by a passionate open-source community
  • 🔧 Flexible configurations for various use cases
  • 🛠️ Tested and stable for Kubernetes environments

With solid community support and active maintenance, this chart delivers a reliable way to manage private Python package repositories on Kubernetes.

How You Can Contribute​

We’d love to have you join our growing community of contributors! There are many ways to support the project:

  • 🔍 Read the docs for usage and configuration tips
  • 🧩 Contribute code or improvements to the GitHub repo
  • 🐞 Report bugs and issues here
  • 💡 Submit ideas or request new features via our issue tracker

Thanks for being part of the community — together, we’re building better tools for managing open-source workloads in cloud-native environments.