Hopsworks
Official@logicalclocks · Stockholm
Developers of Hopsworks
Agent Skills by Hopsworks
Showing 24 vetted skills indexed across 2 GitHub repositories.
logicalclockshops-fg
Manage Hopsworks feature groups with Python batch and multi-part inserts.
logicalclockshops-environments
Clone and customize Hopsworks Python environments with additional packages.
logicalclockshops-app
Deploy Streamlit and custom Python apps on Hopsworks from HopsFS or Git.
logicalclockshops-superset
Create and manage Superset dashboards and charts within Hopsworks.
logicalclockshops-transformations
Manage model-dependent and on-demand transformations in Hopsworks with Python UDFs.
logicalclockshops-agent-job
Automate routine tasks and workflows through Claude Code or Codex jobs.
logicalclockshops-fv
Automate Hopsworks feature view creation and management with the Python SDK.
logicalclockshops-job
Automate Hopsworks job and Airflow workflow orchestration and execution.
logicalclockshops-online-inference
Deploys ML models and runs online inference in Hopsworks via Python SDK.
logicalclockshops-train
Train ML models with feature views and register them in the Hopsworks model registry.
logicalclockshops-monitoring
Monitor Hopsworks feature stores for drift and data quality issues.
logicalclockshops-batch-inference
Automate batch inference in Hopsworks using Python or PySpark.
logicalclockshops-agent-deployment
Deploy interactive agents as server-only KServe deployments without model attachments.
logicalclockshops-ui-navigation
Map Hopsworks UI components and routes for feature navigation.
logicalclockshops-eda
Profile Hopsworks Feature Views and generate EDA reports.
logicalclockshops-reqs
Decompose ML systems into feature, training, and inference pipelines.
logicalclockshops-eda-checklist
Plan exploratory data analysis for Hopsworks feature-view training data.
logicalclockshops-features
Create and schedule feature pipelines in the Hopsworks Feature Store using Python.
logicalclockshops-trino-sql
Query Hopsworks feature store tables using Trino SQL.
logicalclockshops-spark
Automate PySpark code execution in Hopsworks with Delta Lake integration.
logicalclockshops-data-sources
Automate external data source ingestion and mounting into Hopsworks.
logicalclocksunstructured-data
Extract structured data from unstructured files into Hopsworks feature groups.
logicalclockshops-data-discovery
Automate data discovery across Hopsworks feature groups, data sources, and files.
logicalclockshops
Manage Hopsworks Feature Store resources via the hops CLI with JSON output.
Frequently Asked Questions About Hopsworks
FAQPage SchemaWhat specific tasks can I perform using Hopsworks?▼
You can manage feature groups, execute PySpark jobs with Delta Lake integration, perform batch or online inference, and monitor data quality or drift within your feature store pipelines.
Which personas benefit most from this platform?▼
Data engineers, machine learning engineers, and data scientists utilize these capabilities to build, register, and deploy feature pipelines and models within a unified, scalable environment.
What are the prerequisites for running Hopsworks?▼
Deployment requires a configured environment capable of hosting distributed compute clusters, with access to HopsFS for storage and support for Python-based job orchestration and SQL-based data querying.