How-To Guides#

Task-focused guides for the Hopsworks UI and APIs, organised by the part of the platform you are working with. For what things are and why, see the Concepts.

Start here

Install the client and authenticate once. Every guide in this section runs from the same session.
```
uv venv && source .venv/bin/activate
uv pip install "hopsworks[python]"
hops setup
```
Client installation · Create a project · Create a feature group

Feature Store

Feature groups Write features from a DataFrame, validate them, keep statistics.
Feature views Read training data, batch data and online feature vectors.
Data sources Connect warehouses, object stores and databases as inputs.
Feature monitoring Watch statistics over time and compare them to a reference.
Transformations and integrations Model-independent transformations, compute engines, external clients.

MLOps

Model registry Register models with metrics, schema and evaluation artifacts.
Model serving Deploy a model with a predictor, transformer, logging and autoscaling.
Model monitoring Compare inference data against training data on a schedule.
Agents Run agent tasks as jobs or serve interactive agents.

Projects and compute

Projects Sign in, create a project, manage members, secrets, keys and alerts.
Compute Jupyter, the terminal, jobs, Airflow and Python environments.
Analytics SQL over the offline store with Trino, dashboards in Superset.

Platform

Clients Python and Java libraries for your own environment, and the hops CLI.
Setup and administration Install on a cloud or on-prem, manage users and operations.
Migration 3.x to 4.0 What changed and how to move.