Mlhbdapp New | UHD |

If you are currently using a legacy version of MLHBDAPP (1.x or 2.x), you might wonder if the upgrade is worth the hassle. The answer is a resounding yes for three reasons:

The keyword "mlhbdapp new" implies freshness, and the development team has delivered. Here are the flagship features of the latest release:

MLHB stands for Machine‑Learning Health‑Dashboard. The app is an open‑source (MIT‑licensed) web UI + API that aggregates telemetry from any ML model (training, inference, batch, or streaming) and visualises it in a health‑monitoring dashboard. mlhbdapp new

| Feature | Description | Typical Use‑Case | |---------|-------------|------------------| | Unified Metrics Panel | Real‑time charts for latency, error‑rate, throughput, GPU/CPU memory, and custom KPIs. | Spot performance regressions instantly. | | Data‑Drift Detector | Statistical tests (KS, PSI, Wasserstein) + visual diff of feature distributions. | Alert when input data deviates from training distribution. | | Model‑Quality Tracker | Track accuracy, F1, ROC‑AUC, calibration, and custom loss functions per version. | Compare new releases vs. baseline. | | AI‑Explainable Anomalies (v2.3) | LLM‑powered “Why did latency spike?” narratives with root‑cause suggestions. | Reduce MTTR (Mean Time To Resolve) for incidents. | | Alert Engine | Configurable thresholds → Slack, Teams, PagerDuty, email, or custom webhook. | Automated ops hand‑off. | | Plugin SDK | Write Python or JavaScript plugins to ingest any metric (e.g., custom business KPIs). | Extend to non‑ML health checks (e.g., DB latency). | | Collaboration | Shareable dashboards with role‑based access, comment threads, and export‑to‑PDF. | Cross‑team incident post‑mortems. | | Deploy Anywhere | Docker image (mlhbdapp/server), Helm chart, or as a Serverless function (AWS Lambda). | Fits on‑prem, cloud, or edge environments. |

Bottom line: MLHB App is the “Grafana for ML” – but with built‑in data‑drift, model‑quality, and AI‑explainability baked in. If you are currently using a legacy version of MLHBDAPP (1

Visit http://localhost:8080 in your browser. You should see:

You can also explore the API Explorer at http://localhost:8080/api/v1/docs (Swagger UI). Bottom line: MLHB App is the “Grafana for