Cloud Data Management and Local Analysis: How Interfaces Connect ASAMCommander and FAMOS
Engineering test data is increasingly managed in central data environments, while engineers still need specialized tools for detailed signal analysis, visualization, post-processing and reporting.
The integration between HighQSoft ASAMCommander and FAMOS connects these two workflows. Measurements managed in an ASAM ODS environment can be opened directly from ASAMCommander in FAMOS through a one-click “Open with FAMOS” action.
Channels, units, sample rates and metadata are transferred together, allowing engineers to continue their analysis without a separate file export workflow.
Written by Daniel Förder, Strategic Product Manager Software and FAMOS expert
Why this connection matters
In traditional workflows, engineers often need to export files, create local copies and manually import measurement data into an analysis tool.This can add unnecessary steps, especially in environments with thousands of test runs. It can also require engineers to verify whether relevant channel information, units and metadata have been transferred correctly. The integration reduces this manual handover while keeping the measurement data in the ASAM ODS repository. Access remains aligned with the existing ASAM ODS authentication and permission model.
The technical foundation
The integration is based on ASAM ODS, HQL, pyHQL and the FAMOS Python API. ASAM ODS provides the data model and common contract for measurement data. HQL provides a readable query layer, while HighQSoft’s pyHQL library makes this query layer accessible from Python. The FAMOS Python API provides the interface to the analysis environment. A short pyHQL snippet inside a FAMOS sequence reads measurements directly from AReS Libertas via ASAM ODS 6. HighQSoft added “Open with FAMOS” as an integrated analysis target in ASAMCommander. The implementation required around three hours of work on each side. No proprietary plugin, vendor SDK, recompilation or proprietary protocol was required.
The workflow for engineers
HighQSoft ASAMCommander is a web application for ASAM ODS test data exploration. It runs on AReS Libertas, an ASAM ODS 6 server, and enables engineers to search, filter and govern measurements at enterprise scale. FAMOS provides the environment for detailed technical measurement data analysis, including time-domain and frequency-domain post-processing, visualization, automated analysis sequences and report generation.
A typical workflow includes:
- searching and filtering measurements in ASAMCommander
- selecting the relevant test run or measurement
- opening the measurement directly in FAMOS
- working with channels, units, sample rates and metadata
- applying existing FAMOS analysis sequences or macros
- visualizing signals and generating reports
- uploading calculation results back into the ASAM ODS server
Existing FAMOS workflows can therefore also be applied to ASAM ODS-managed data.
A flexible toolchain for ASAM ODS environments
For organizations using ASAM ODS-based data management, the integration connects a dedicated analysis tool without changing the basic data management approach. ASAMCommander’s modular “Open with” mechanism allows FAMOS to be added as an analysis target without forking the application or introducing a server-side plugin. Measurement data remains centrally managed, while engineers can continue using FAMOS for detailed analysis.
A small integration with a clear purpose
The integration demonstrates how open standards and clearly defined APIs can connect data management and specialized measurement data analysis with a compact technical setup. The integration between ASAMCommander and FAMOS is ready to use. FAMOS, pyHQL and ASAMCommander Pro are available today, and live demonstrations can be requested from imc Test & Measurement or HighQSoft.
