Tools for MLOps

The list of tools I mention in my talk "MLOps: Devops for Machine Learning":

Dataflow:

• Apache Airflow
• Prefect
• Kubeflow
• Argo

Featurestore:

• Hopsworks
• Feast

Shared experiment structure

• JupyterHub
• Kubeflow

Experiment tracker

• MLflow
• Sacred
• Guild AI
• DVC

Model registry

• DVC
• Kubeflow
• Pachyderm

Some commercial alternatives

• Weights and Biases
• Valohai
• Polyaxon
• Verta

Serving tools

• Tensorflow Serving
• Seldon

Deployment: Browser

• TensorFlow.js
• ONNX.js

Deployment: Mobile

• TensorFlow Lite
• CoreML

Monitoring

• Prometheus
• Grafana
• Elastic Stack

Explainable ML

• Lime

More resources

• Google - Rules of ML
• Awesome MLOps