The Best Kale Alternatives in 2026

Kubeflow Pipelines orchestrates and manages machine learning workflows on Kubeflow.

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

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

Kedro-Viz visualizes Kedro data and machine learning pipelines and tracks experiments.

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

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

ModelOp manages enterprise AI assets and governance through a command center for tracking AI delivery.

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

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.

BentoML helps build and serve AI apps and models through inference APIs, job queues, and multi-model pipelines.

Rockpool supports training spiking neural networks with PyTorch and JAX and deploying them to neuromorphic hardware.

Curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning.

Deploy a ML inference service on a budget in less than 10 lines of code.

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

The fenn Python framework supports machine learning workflows and LLM agents, with trainers, templates, logging, and configuration management.

PrimeHub offers an open-source platform for managing machine learning operations and workflows.

Cascade supports MLOps workflows for smaller projects without a full platform.

Use Aeromancy to build reproducible machine learning workflows and projects.

Featureform turns existing data infrastructure into a virtual feature store.

Apache Mahout develops Qumat, a backend agnostic quantum circuit library, and QDP, a GPU accelerated quantum data encoding engine.

Catniff provides JavaScript developers with a Torch-like deep learning framework.