mlflow chart version 1.7.1 released
We’re excited to share that the latest release of the mlflow Helm chart, version 1.7.1, is now available as of September 20, 2025. This update includes mlflow app version 3.4.0 and introduces new features focused on flexibility and user-driven improvements—making your Kubernetes deployments even more seamless.
Highlights of the 1.7.1 Release
This version includes updates to both the Helm chart and underlying application:
- 🔧 Chart Upgrade: Enhanced support for configurable init container images, allowing greater flexibility in tailored deployments.
To review all changes in detail, check out the official release notes on GitHub.
Getting Started with mlflow 1.7.1
Ready to launch mlflow with the latest chart? Our documentation walks you through every step, whether you’re deploying locally or in production. You’ll find guides for:
- Fast start with default settings.
- Full customization for advanced use cases.
- Best practices for managing production workloads.
Start exploring now and deploy your mlflow chart with confidence.
Why Use the mlflow Helm Chart?
Maintained by the open-source GitHub Community Charts project, this Helm chart brings the full power of mlflow to your Kubernetes infrastructure. Here’s why it stands out:
- 🚀 Easy Deployment: Install mlflow in minutes with Helm.
- 🤝 Community-Driven: Actively maintained with regular updates and improvements.
- ⚙️ Highly Configurable: Supports a range of deployment scenarios.
- 💡 Production-Ready: Trusted and tested for real-world Kubernetes environments.
Join Our Community
We welcome you to contribute and help evolve this open-source project! Whether you're submitting a pull request, opening an issue, or just sharing feedback, your input helps shape the future of mlflow deployments in Kubernetes.
Here’s how to get involved:
- 📘 Visit the documentation to customize and configure.
- ⭐ Join us on GitHub to contribute.
- 🐛 Report any issues here.
- 💡 Suggest new features by opening a feature request.
Thanks for being a part of the mlflow community. Let's keep building better deployments—together.