mlflow Helm chart
helm-charts-nrScored 14 Sept 2026
A Helm chart to install MLflow tracking, a tool to track Machine Learning experiments. This Helm chart is using Postgresql as backend and S3 as artifact store. Contributions for other backends and artifacts store are welcome.
Latest 1.0.10 1 year agoapp version 1.9.1 0Artifact Hub
mlflow 1.0.10 deploys 1 container image: larribas/mlflow. Across them, 260 findings — 5 critical, 6 high — 1 on CISA KEV. The highest contribution is GHSA-7gwp-5pfp-969j in mlflow 1.9.1, fixed in 3.15.0.
Radar Score
Radar Score is the sum of every finding’s contribution; the colour is the worst finding’s band.
Container images
| Image | Tag | Vulnerabilities | Radar Score |
|---|---|---|---|
| larribas/ | 1.9.1 | 56102147 | 4,422 |
Rendered with the chart’s default values for linux/amd64. Optional subcharts, images set by operator flags and images inside CRD payloads are not seen and are counted as unmeasured.
Medium findings
Medium: findings whose contribution to the Radar Score is 15–39. Show every band
| Severity | Advisory | Package | Fixed in |
|---|---|---|---|
| Medium | GHSA-jr27-m4p2-rc6r | pyasn1 | 0.6.3 |
| Medium | GHSA-5xp3-jfq3-5q8x | pip | 21.1 |
Indexed versions
The latest version and the previous major, as selected nightly from the repository’s index.
README badge
Markdown. The badge shows the latest version’s band and Radar Score, refreshed daily.