GraphCanon updated Sep 28, 2026 · GitHub synced Sep 28, 2026
32views this month
Decision brief
Hopsworks, an ML platform with robust data management and model serving capabilities, supports multiple cloud environments like AWS, Azure, and GCP.
Good fit when
- When project requirements include a comprehensive feature store for AI applications
- For teams targeting multi-cloud deployments with strong data governance needs
Avoid when
- If developers prefer a tool requiring less computational resources to install
- In scenarios where the preferred language is not Java and compatibility is an issue
Observed Jul 17, 2026 · Source: enrich:decision_facts
Verify the decision
Maintenance and security
Full trust report- Maintenance
- Dormant (595d since push)
- As of Sep 28, 2026
- Provenance
- Not a fork · Organization account
- As of Sep 28, 2026
- Security (OSV)
- No lockfile
- As of Jul 11, 2026
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
git clone https://github.com/logicalclocks/hopsworksSimilar tools
Same-category neighbours. No typed graph edges are catalogued for this tool yet.
Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
Hopsworks is an ML platform supporting data management and model serving across multiple cloud providers including AWS, Azure, and GCP.
Capability facts
- Languages
- java
Source: github.language · Sep 28, 2026
Categories
Compatibility
Sourced claims from the README excerpt - not unsourced marketing copy.
Source: README excerpt (regex_v1, Sep 28, 2026)
python3 install-hopsworks.pySource link
Tags
README
Quick Install Get up and running with a single command: <a name="what" </a Requirements You need at least one server or virtual machine on which Hopsworks will be installed with at least the following specification: Centos/RHEL 8.x or Ubuntu 22.04; at least 32GB RAM, at least 8 C...
For agents
This page has a .md twin and JSON over the API.