Following the release of Anthropic's newest Claude model, Fable 5, HighQSoft ran a focused experiment. Could an AI agent derive a reusable skill that creates ASAM ODS dashboards on measured data?
The specification was about 20 lines long and contained mostly boundary conditions, namely Streamlit as the dashboard framework, pyHQL for data access, and the HighQSoft MCP Server for ASAM ODS as the discovery layer. The dashboards themselves were a free pass.
The directions were to discover the database, create five dashboards, keep the skill generic by representation type (graph, geo, table), offer features such as sliders and filters based on the discovered application model, and reinforce lessons learned from each step.
The agent ran for 25 minutes with one manual feedback loop. The result on HighQSoft's weather demonstration database was five working dashboards, a Channel Explorer, a Climate Map, Database Statistics, Last Data Imports, and a Measurement Channel Comparison. Every dashboard runs on live HQL queries against the ODS server. No data was exported, copied, or staged.
Two components made the result possible.
The five dashboards are the visible output, but the actual result is the skill that now builds the next ones. Because the skill works from model discovery rather than hard-coded names, it transfers to any ASAM ODS application model. Test engineers describe the view they want in plain language, and the skill composes, validates, and ships a live dashboard from there.
ASAM ODS Dashboards - Channel Explorer (Streamlit)
ASAM ODS Dashboards - Climate Map (Streamlit)
ASAM ODS Dashboards - Database Statistics (Streamlit)
ASAM ODS Dashboards - Last Data Imports (Streamlit)
ASAM ODS Dashboards - Measurement Channel Comparison (Streamlit)
#ASAM #ODS #AI #MCP #HQL #Streamlit #TestData #HighQSoft
HighQSoft has published a new short story, When Data Spaces Come for Test Data, Standardization Connects. The piece argues that data spaces strengthen, rather than weaken, the case for ASAM ODS. A file-based stack works as long as the system stays local. The moment data crosses an organizational boundary, the standard is what makes that boundary tractable.
The article belongs to HighQSoft's standardization series, which dedicates one short story to each of the five test data management pillars. This installment is the Connected pillar, where the ASAM ODS Standard reaches across organizations into data spaces.
A data space connector solves transport, not meaning. A file dropped into a connector arrives at the consumer as a blob to be re-interpreted from filenames and folders. The Eclipse Dataspace Connector and its Tractus-X derivative move bytes between provider and consumer; they do not move the contents of those bytes. Without a shared schema, the consumer rebuilds the producer's interpretation by hand, every time, which is exactly the delegated re-import that standardized test data management was meant to avoid.
The story sets out five properties that decide whether a cross-organization exchange becomes useful infrastructure or stays a transport layer with a contract attached. These include schema-to-schema exchange, sub-file asset granularity, calculated results as practical assets, contracted reports and exports, and catalogs with lineage that make exchange auditable and reusable. The closest production parallel today is the Catena-X Product Carbon Footprint exchange, where values flow and aggregate across the supply chain only because a rulebook standardizes how each participant interprets each value.
The article shows two clean ways to connect a HighQSoft installation to a data space, both part of the production architecture today. Janus, the federation layer, treats a connector as one more handler and presents incoming assets as a unified ASAM ODS view for the consumer. ASAMCommander's internal NXServices, orchestrated by Merlin, publish measurements, KPIs, results, and reports to the data space as a provider. Both directions have been demonstrated with real connectors in the GAIA-X 4 KI and RepliCar research projects, including cross-cloud exchanges between separate clouds.
Read the full short story at When Data Spaces Come for Test Data, Standardization Connects.
*#ASAM #ODS #TestData #DataSpaces #GAIAX #DataSovereignty #HighQSoft*
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*
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
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
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
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
HighQSoft GmbH
Black-und-Decker-Straße 17b
D-65510 Idstein
You are currently viewing a placeholder content from Facebook. To access the actual content, click the button below. Please note that doing so will share data with third-party providers.
More InformationYou are currently viewing a placeholder content from Instagram. To access the actual content, click the button below. Please note that doing so will share data with third-party providers.
More InformationYou need to load content from hCaptcha to submit the form. Please note that doing so will share data with third-party providers.
More InformationYou need to load content from reCAPTCHA to submit the form. Please note that doing so will share data with third-party providers.
More InformationYou are currently viewing a placeholder content from Turnstile. To access the actual content, click the button below. Please note that doing so will share data with third-party providers.
More InformationYou are currently viewing a placeholder content from X. To access the actual content, click the button below. Please note that doing so will share data with third-party providers.
More Information
