The article then shows how HighQSoft's stack already plugs AI into the standard. The MCP Server connects Claude and ChatGPT to ASAM ODS through HQL. Merlin AI extends the same pattern to analysis pipeline composition. MoMa AI, from the AEOPT research project, generates importer mappings from sample data so a new measurement source becomes queryable in hours.
*#ASAM #ODS #AI #TestData #HQL #MCP #HighQSoft*
HighQSoft ASAMCommander now opens measurements directly in FAMOS through a one-click “Open with FAMOS” action. The integration took three hours of work on both sides and uses no proprietary plugins, vendor SDKs, or recompilation. The connection runs through pyHQL (ASAM ODS Toolbox for Python), HighQSoft’s Python library for the HQL query language.
FAMOS is a signal analysis and reporting environment used in automotive, aerospace, railway, and mechanical testing since 1987. Engineers rely on it for time-domain and frequency-domain post-processing, automated analysis sequences, and report generation.
HighQSoft ASAMCommander is a web-based test data management application that runs on AReS Libertas, a production-proven ASAM ODS 6 server. ASAMCommander enables engineers to search, filter, and govern measurements at enterprise scale.
An engineer searches and filters thousands of measurements in ASAMCommander Navigator, selects one, and sends it to FAMOS with a single click. Channels, units, sample rates, and metadata arrive together, so the analyst can move straight to curves and analysis sequences rather than deal with file exports.
FAMOS: AI-powered analysis: quickly turn complex measurement data into clear answers
For test engineers
Find the right measurement
Use ASAMCommander to search and filter tens of thousands of measurements without leaving the browser.
Hand it off in one click
Open the selected measurement in FAMOS with channels, units, and metadata intact.
Keep your existing workflow
Run existing FAMOS analysis macros against ASAM ODS-managed data without learning a new interface or exporting files.
For ASAM ODS administrators
No file detours: Data stays in the ASAM ODS repository. Engineers analyze without exporting, so there are no local copies to govern, age, or recover.
Governed access: Users open data through the existing ODS authentication and permission model. Every read is the same, a controlled read, it would be from any ODS client.
Add tools through configuration: ASAMCommander’s modular Open-with mechanism supports new analysis targets without forking the application or shipping a server-side plugin.
FAMOS exposes a flexible Python API. HighQSoft offers pyHQL, a Python library that wraps the HQL query language for ASAM ODS. The kickoff turned into an implementation workshop. A ten-line pyHQL snippet inside a FAMOS sequence read measurements directly from AReS Libertas via ASAM ODS 6. In parallel, HighQSoft added "Open with FAMOS" as an integrated analysis target in ASAMCommander, built against requirements from imc. No fork, no plugin SDK, no proprietary protocol. Three hours of effort on each side.
The reason both halves stayed small is what sits underneath. ASAM ODS defines the data contract. HQL provides a simple, readable query layer on top of it. pyHQL keeps the calling code short. FAMOS provides a well-defined Python API. The four pieces line up.
The integration is ready to use. FAMOS, pyHQL, and ASAMCommander Pro are all available today; Contact imc Test & Measurement or HighQSoft for a live demonstration.
#imc #FAMOS #ASAMODS #TestDataManagement #pyHQL #HighQSoft #SignalAnalysis #Standardization
pyHQL (ASAM ODS Toolbox for Python) enables analysts and engineers to utilize the HighQSoft Query Language (HQL) to work directly with ASAM ODS data from Python, providing typed results, mass-data access with units, transactions, and file streaming for analysis, scripts, and dashboards.
HighQSoft is introducing pyHQL, a lightweight Python library that connects to the HQL WEB Service and, through it, to any ASAM ODS server in your infrastructure. You use familiar HQL commands to query metadata and measurement data. pyHQL maps ASAM ODS datatypes to convenient Python objects, allowing you to analyze them immediately.
pyHQL eliminates the effort of crafting low-level REST calls and interpreting ASAM ODS datatypes by providing a ready-to-use library—so teams can spend time analyzing data and focusing on insights rather than integration work.
Python Library for ASAM ODS: The HQL Web Service delivers product-based stability and all HQL comfort to the Python end-user.
For End-users
Query information easily — Use the same HQL queries you already know to retrieve any information from ASAM ODS servers - with all the comfort you'd expect!
Work natively in Python & Data Frames — Stay in your comfort zone with Python, Pandas, and friends.
For Analysts & Data Scientists
For Administrators
from highqsoft.pyHQL.HQL import HQL ASAM ODSURI="hql://admin:admin@localhost:xxxx?licenseserver=xxxx@licenseserver"
hqlURI="http://192.168.xxx.xx:xxx"
hql = HQL(hqlURI, ASAM ODSURI)
>>> result = hql.query("hql id, name from aotest")
>>> print(result)
---------------------------------------------------------
| Station 0.056 seconds to fetch 83 rows with 2 columns |
| id | name |
---------------------------------------------------------
| 26 | Alsfeld |
| 5 | Neuruppin-Alt Ruppin |
| 45 | Anklam |
...
| 81 | Veilsdorf |
| 82 | Oberhaching-Laufzorn |
| 83 | Waltrop-Abdinghof |
| 61 | Helmstedt-Emmerstedt |
---------------------------------------------------------
83 rows selected
---------------------------------------------------------
Query time: 0.056 seconds
Printer time: 0.001 seconds
Execution time: 0.057 seconds
pyHQL is available now as a ZIP for pip install from the HighQSoft download page. The manual includes installation steps, connection examples, and a quick tour of queries, mass data access, transactions, and file transfer.
#ASAM #ODS #TestData #Merlin #Python #pyHQL #TDM #TestDataManagement #ASAMODS #HighQSoft
ASAMCommander is a modular web application for ASAM ODS–based test data management systems, providing engineers, analysts, and administrators with a customizable platform. It offers flexible data exploration and visualization, convenient ODS client, Matlab and Python access, and server-side analysis automation.
With ASAMCommander 25.2, we are releasing a major update to the AC-Mainframe and platform foundation. The new version focuses on corporate identity, embedded applications, user and group integration, and more predictable deployments. Platform owners and administrators can now brand ASAMCommander to match their environment, integrate more tightly with existing corporate authentication systems, such as OAuth, and operate external modules in a controlled and configurable manner.
In many ASAM ODS environments, ASAMCommander is more than just a client – it is the central entry point into a larger measurement data ecosystem. If branding, user management, or deployment patterns do not align with corporate standards, adoption suffers and operational overhead increases. The 25.2 mainframe update strengthens ASAMCommander as a platform, enabling it to be branded like any other enterprise application and supporting external applications through a consistent deployment and configuration model. This gives platform teams more control while reducing friction for end users.
ASAMCommander including a selection of modules.
Mainframe - Corporate Identity and Embedded Applications
Catalogs Management - User & group integration
Deployment & external application integration
Logging and language polish
ASAMCommander 25.2 is available as an update for existing ASAMCommander installations. Customers can obtain the release via the usual delivery channels or on request. For installation support, upgrade planning, or questions about compatibility with your ASAM ODS environment, please contact your HighQSoft representative.
#ASAM #ODS #TestData #ASAMCOmmander #TDM #TestDataManagement #ASAMODS #HighQSoft
HighQSoft is introducing the Merlin UI, a new module for ASAMCommander that brings server-side analysis and job orchestration right into the end-user’s web application. Engineers can discover data, launch analyses, and monitor pipelines end-to-end—without leaving ASAMCommander.
As data volumes grow, manual, desktop-based analysis tools don’t scale. Merlin is a second-generation, technology-independent framework that standardizes execution so teams get faster, comparable, and reproducible results.
The following features are introduced:
For End-users
Start Job toolbar action available across multiple modules to launch analyses from within ASAMCommander.
Job bookmarks to quickly re‑run jobs or review prior results.
For business admins
Template Manager to control which job templates are available to end users.
Template Builder (Code & Graphical) to design and operationalize evaluations.
Job Monitoring & Logging for live status, history, and traceability.
Data Lineage to trace software, processes, and all interactions with your datasets.
Automation of Processing jobs with Merlin - UI for the Blueprints Manager
ASAMCommander is a modular ASAM ODS web application for data exploration and management. Out of the box, ASAMCommander already integrates expert tools like AVL Concerto, MATLAB, and NI DIAdem, and supports exporting ATFx, CSV, and MDF4—so you can keep preferred workflows in one place.
Merlin extends this with:
Technology-independent executors (Python, Java, MATLAB, Spark)
Resource management, queuing/scheduling, and event triggers (e.g., on import)
Standardized, comparable results with full data lineage
Template types supported include importing, data validation, processing/analysis, statistics generation, archiving, and maintenance tasks.
Merlin is a second-generation, technology-independent framework for server-side analyses that orchestrates jobs, schedules execution, and scales across runtimes. It brings the algorithm to the data and ensures reproducible results with data lineage. Merlin integrates seamlessly with ASAM ODS-based test data management.
#ASAM #ODS #TestData #Merlin #DataLineage #TDM #TestDataManagement #ASAMODS #HighQSoft
23 participants from 9 companies in 4 countries meet to test ASAM ODS client applications, ASAM ODS servers, and ATFX files for compliance with the ASAM ODS standard.
As in previous cross-tests, the participating companies came together to test and improve their software in real-life scenarios. The participants helped each other to understand the small differences in the data formats of the various programs and to solve the difficulties that can arise when interpreting this data. They were also able to discuss ambiguities and contradictions in the standard documentation, which can then be eliminated in the next version of the standard.
Once all the servers in the network had been set up, the first client connections were established. At the end of the first day, all clients were able to connect to all servers.
Each participating client was assigned an Excel sheet with the scenarios to be tested for each server. This time, the participants agreed to test only the http interface of the ODS standard. The scenarios were, for example:
The tests were then carried out on the second day. Groups were formed with at least one representative each from the client manufacturer and the server manufacturer. A few identified problems were posted directly as issues in the ASAM GitHub of the ASAM ODS working group to be resolved with the upcoming release.
Today, we released a number of improvements for our products
The release includes several enhancements for managing catalogs in ASAM ODS (Physical Dimensions, Units, Quantities, and groups). The Catalog Editor provides comprehensive CRUD (Create, Read, Update, Delete) operations and additional features like transaction control, drag and drop functionality, and support for managing catalog elements and their instances.
This update allows creating transactions outside of HQL and requesting HQL to use them. This lifts the limitation of only one transaction per ASAM ODS session.
A new Validation Job Pipeline runs custom Python scripts on imported data if certain criteria are met. The scripts can generate new parameters or measurements based on the data.
Introduces a Job Pipeline for checking newly imported measurements against filter criteria stored in the ASAM ODS database. The pipeline stages include applying filter criteria, copying processing results, and triggering validation.
Implements a git storage for loading remote stage functions for Job Pipelines making it easier to manage and update scripts.
All updates enhance the functionality and flexibility of the Test Data Management Ecosystem providing robust tools for data validation, transaction handling, and catalog management.
#HighQSoft #Release #HQL #SoftwareUpdate #ASAMCommander #ASAMODS
Test Data Management can be a headache. Multiple proprietary formats, incompatible data structures, and a never-ending stream of new information can make it difficult, if not impossible, to turn raw data into actionable knowledge.
At HighQSoft, we specialize in wrangling your measurement data into something you can use today and in the future. We offer multiple products and solutions to help you organize and manage data, regardless of volume and format.
Our ASAMCommander is a test data management application based on the ASAM ODS standard (https://www.asam.net/standards/detail/ods/). As a modular web application, it comprises loosely coupled, functional units called modules that form a customizable experience for end-users, system and data administrators, or data analysts.
The basic version of ASAMCommander is an out-of-the-box application that provides all end-user use cases for data exploration (navigation, search, visualization), expert tool integration (e.g., AVL Concerto, Mathworks Matlab, NI DIAdem), and data exports (ASAM ATFx, CSV, ASAM MDF).
The Enterprise Edition of ASAMCommander is suited for Global Test Data Management solutions based on the AReS Libertas ODS6 Platform. System administration features include system logging, data lineage, and data retention. Our Merlin Analysis Framework provides all features for complete automation of analysis pipelines. ASAMCommander Enterprise allows customization, and new modules, features, and workflows are easy to add or integrate.
The ASAMCommander release 24.2 is now available at our download portal and includes:
AC-Mainframe
AC-Navigator
AC-Logger
General Features
The release contains various enhancements and updates for AC-MoMa, AC-Bookmarks, AC-Search, and AC-Merlin.
ASAMCommander works with any data model (ISO Safety, ASAM NVH, custom models), all domains (battery, powertrain, vehicle, ...), and any ASAM ODS server (AReS ODS Server, AVL Santorin).
#HighQSoft #TestDataManagement #MeasuredDataManagement #ASAMODS #ASAM #Release #Innovation
Libertas 24.1.3 brings a series of significant improvements and new features designed to enhance your experience. Here are the highlights of this release:
application/octet-stream content type, following industry recommendations for better compatibility.
These enhancements and fixes are part of our ongoing commitment to improving Libertas, making it more robust, secure, and user-friendly.
#HighQSoft #SoftwareUpdate #Libertas #Innovation
We are pleased to announce the release of ASAM Commander 24.1, packed with enhancements geared towards boosting stability and enhancing user experience across various modules, including some design upgrades throughout the entire application.
#HighQSoft #SoftwareUpdate #DataManagement #ASAMCommander #Innovation
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