mlflow chart version 1.7.4 released
We’re excited to share that the latest version of the mlflow Helm chart (1.7.4) is now available as of 2025-11-08. This release features mlflow app version 3.6.0, delivering a more seamless experience when deploying mlflow in Kubernetes environments.
What’s new in version 1.7.4
Version 1.7.4 introduces updates focused on improving stability and compatibility. This includes an upgrade to the latest mlflow image along with enhancements to key dependencies:
- ✅ Updated: Upgraded Docker image to
burakince/mlflow:3.6.0
➤ View on Docker Hub - 🔄 Updated: PostgreSQL dependency bumped from
18.1.1to18.1.7
➤ View on ArtifactHub
For the full list of updates and detailed changelog, check out the official 1.7.4 release notes on GitHub.
Getting started with mlflow 1.7.4
Ready to dive in? Setting up mlflow using the latest Helm chart is simple. Our installation documentation covers everything you need to get started:
- 🚀 Quick installation with out-of-the-box defaults
- ⚙️ Tailoring configurations for your environment
- 📦 Tips for running mlflow in production on Kubernetes
Visit the official mlflow chart docs to explore configuration options and deployment best practices.
Why use the mlflow Helm chart?
Crafted and supported by the open-source community, the mlflow Helm chart is purpose-built for seamless Kubernetes integration. Here's why it stands out:
- 🧩 Simple setup: Deploy mlflow efficiently with Helm’s templated configuration system
- 💬 Open-source collaboration: Benefit from frequent updates driven by real-world feedback
- 🔧 Customizable deployment: Fine-tune the chart to fit your workflow or cloud infrastructure
- ✅ Kubernetes-ready: Built and tested for robust performance on Kubernetes
Join our open-source community
The mlflow Helm chart is maintained by GitHub Community Charts, a dedicated group of developers, DevOps engineers, and contributors. Whether you're here to explore or actively contribute, we’d love to have you involved:
- 📘 Check the mlflow chart documentation
- 🔧 Contribute improvements, fixes, or enhancements on GitHub
- 🐛 Submit bugs or suggest ideas via our issue tracker
Thanks for being part of the community. Together, we’re making kubernetes-native mlflow easier to deploy, maintain, and scale!
