Tech riderRev. 21 Sept 2026

STAMM

Ch 116.9of 20 Machine Learning Model Monitoring Software

1Runs onAPI, Linux, Mac, self-hosted, Web, Windows
2CostsNot stated by the maker
3Drift monitoringYes
4Model performance metricsYes
5Deployment optionsself-hosted

4 lines stated Written from the maker's own pages: stamm.inrae.fr

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Overview

STAMM is ranked #11 of 20 in machine learning model monitoring software on Specifiction. It runs on API, Linux, macOS, Self-hosted, Web, Windows.

Compared on machine learning model monitoring software

Drift monitoring: Yesstamm.inrae.fr
Model performance metrics: Yesstamm.inrae.fr
Deployment options: self-hostedstamm.inrae.fr

Facts

Purpose: STAMM is an open-source MLOps framework for deploying, monitoring, and maintaining machine-learning soft sensors in industrial processes.stamm.inrae.fr · 4 Oct 2026
Real-time monitoring: It monitors live process data and detects concept drift and changes in operating regimes.stamm.inrae.fr · 4 Oct 2026
Model registry: The registry tracks model versions, configuration, artifacts, validation results, and metadata.stamm.inrae.fr · 4 Oct 2026
Language support: The maker describes support for Python and R soft sensors, served through REST inference.stamm.inrae.fr · 4 Oct 2026
Dashboard: The dashboard displays process measurements, soft-sensor outputs, drift signals, historical context, and supports human-in-the-loop labelling.stamm.inrae.fr · 4 Oct 2026
Data storage: The reference time-series store is InfluxDB; a PostgreSQL adapter is described as in progress.stamm.inrae.fr · 4 Oct 2026
Workflow: The event-driven orchestrator calls the model registry over REST and links predictions to the data snapshot that produced them.stamm.inrae.fr · 4 Oct 2026
Drift detectors: The drift detector package provides 10 detectors through a common interface and can be used inside or outside STAMM.stamm.inrae.fr · 4 Oct 2026
Integrations: The documented workflow accepts data through equipment REST hooks, MQTT applications, or frameworks such as LEAF; the demo uses a Node-RED emulator.github.com · 4 Oct 2026
Deployment requirements: The documented Docker Compose installation supports Linux, macOS, or Windows with Docker 24 or later; 8 GB RAM or more is recommended.github.com · 4 Oct 2026
License: STAMM is released under the Apache License 2.0.github.com · 4 Oct 2026
Audience: The maker identifies process modelers, ML engineers, operators, and project or production managers as intended users.stamm.inrae.fr · 4 Oct 2026