---
title: "Kubeflow SDK v0.4.0: Model Registry, SparkConnect, and Enhanced Developer Experience"
url: https://daily.dev/posts/kubeflow-sdk-v0-4-0-model-registry-sparkconnect-and-enhanced-developer-experience-gmtyzchev
source_url: https://blog.kubeflow.org/kubeflow-sdk-0.4.0-release/
type: article
source: "Kubeflow"
published: 2026-03-23T11:34:19.031Z
updated: 2026-03-23T11:34:41.800Z
tags: ["python", "kubernetes", "apache-spark", "mlops"]
reading_time: 7
upvotes: 13
comments: 0
language: en
---

> ## Documentation Index
> Fetch the complete documentation index at: https://daily.dev/llms.txt
> Use this file to discover all available pages before exploring further.

# Kubeflow SDK v0.4.0: Model Registry, SparkConnect, and Enhanced Developer Experience

**[Kubeflow](https://daily.dev/sources/kubeflow)** · 7 min read · 13 upvotes · 0 comments

## Summary

Kubeflow SDK v0.4.0 introduces a ModelRegistryClient for managing model artifacts and versions via a Pythonic API, a SparkClient with SparkConnect support for interactive distributed data processing on Kubernetes without YAML, namespaced TrainingRuntimes for better multi-tenant isolation, and Dataset/Model Initializers to improve parity between local and remote execution. The release also raises the minimum Python version to 3.10 and launches a dedicated documentation website. Future roadmap items include MCP server integration, MLflow support, Kubeflow Pipelines unification, LLM training, and multi-cluster job submission.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://blog.kubeflow.org/kubeflow-sdk-0.4.0-release/>

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---

Tags: [#python](https://daily.dev/tags/python), [#kubernetes](https://daily.dev/tags/kubernetes), [#apache-spark](https://daily.dev/tags/apache-spark), [#mlops](https://daily.dev/tags/mlops)

[View this post on daily.dev](https://daily.dev/posts/kubeflow-sdk-v0-4-0-model-registry-sparkconnect-and-enhanced-developer-experience-gmtyzchev)
