MLflow Chart Version 1.8.5 Released
We are excited to share the launch of the MLflow Helm chart version 1.8.5 on June 2, 2026, featuring app version 3.13.0. This update brings a wealth of new features, enhancements, and community-driven improvements designed to streamline your MLflow deployment on Kubernetes.
What's New in MLflow 1.8.5 Chart
This release includes updates to both the Helm chart (version 1.8.5) and the underlying application (version 3.13.0). Here are some of the key changes:
- Fixed: Resolved broken screenshot URL(s) in the MLflow chart.
For a comprehensive list of changes, you can view the release notes on GitHub.
Getting Started with MLflow 1.8.5 Chart
Are you ready to deploy MLflow 1.8.5? Our installation guides offer step-by-step instructions to help you get started, which include:
- Quick installation with default configurations.
- Customization options tailored to your environment.
- Best practices for successful production deployments.
Visit the MLflow documentation to explore all available options and deploy MLflow today.
Why Choose the MLflow Helm Chart?
The MLflow Helm chart, maintained by GitHub Community Charts, is designed to make deploying MLflow on Kubernetes a straightforward and reliable experience. Here are a few reasons to choose it:
- Ease of Use: Simplified installation and configuration processes.
- Community-Driven: Regular updates and enhancements from dedicated contributors.
- Flexibility: Configurable options that meet diverse use cases.
- Reliability: Thoroughly tested for stability in Kubernetes environments.
Get Involved
GitHub Community Charts is a collaborative project, and we invite you to be a part of it! Whether you're interested in fixing bugs, enhancing documentation, or proposing new features, there are many ways to contribute:
- Explore the Chart: Dive into the MLflow documentation for configuration details.
- Contribute: Submit your pull requests to our GitHub repository.
- Report Issues: Found a bug? Let us know.
- Request Features: Share your suggestions via our issue tracker.
Thank you for your support of MLflow and GitHub Community Charts. Together, let's make Kubernetes deployments easier and more accessible!
