The Best Kedro-Viz Alternatives in 2026

ModelDB tracks machine learning model versions, metadata, and experiments.

ClearML combines experiment and data management, pipelines, scheduling, orchestration, and model serving for AI workloads.

ClearML manages AI experiments, data, pipelines, orchestration, scheduling, and model serving in one MLOps platform.

Aim tracks machine learning experiments and describes itself as an open-source experiment tracker.

Kubeflow Pipelines orchestrates and manages machine learning workflows on Kubeflow.

TPOT uses genetic programming to optimize machine learning pipelines in Python.

MLRun provides an open-source MLOps platform for managing machine learning applications, pipelines, and CI/CD delivery.

Mosec serves machine learning models with dynamic batching and CPU or GPU pipelines for inference workloads.

ZenML provides a platform for machine learning pipelines and AI agents.

Kale simplifies data science workflows for deploying Kubeflow Pipelines.

Pathway offers cloud templates for RAG, AI pipelines, and enterprise search that stay synchronized with connected data sources.

Kedro helps create reproducible, maintainable, and modular data science and data engineering pipelines.

Sagify describes its project as a way to work with large language models and machine learning more easily.

ORMB packages machine learning models as OCI artifacts, in a workflow described as Docker for ML models.

Merlin supports machine learning model management, deployment, and serving in Kubernetes environments.

Cog packages machine learning models into containers to support deployment across environments.

The Datumbox framework is written in Java for developing machine learning and statistical applications.

Build neural networks and support machine learning research with Sonnet, a library based on TensorFlow.

The linfa project provides a machine learning framework written in Rust.

Hypernets offers a general automated machine learning framework for developing end to end AutoML toolkits in specific domains.

FLAML provides a fast Python library for automated machine learning and tuning.

A JavaScript Native PyTorch-aligned Machine Learning Framework, built from scratch on WebGPU.

The Feast repository describes an open source feature store for AI and machine learning projects.

Kubeflow provides a machine learning toolkit for deploying workflows on Kubernetes.