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This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement n° 813884.

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The lowcomote technologies provide a robust framework for the design, development, and operation of low-code development platforms. Most of these technologies are available in open source.


Panoptes is a low-code solution for monitoring the performance of ML models over time. It exposes a DSL that can be used by data scientists to define performance monitoring policies without delving into the technical implementation aspects.


Providing automatic test amplification for executable models.


Multi-Parameter Benchmark Framework for Spark Applications

A prototype implementation of a multi-parameter benchmark framework for Spark applications.


Continuous consistency checking of DevOps artefacts prototype

Prototype implementation of continuous consistency checking of DevOps artefacts. Click here to read the publication.


Epsilon static analysis

This repository is built-on the top of Epsilon framework. Currently, it supports following languages
1) Epsilon Object Language (EOL)
2) Epsilon Validation Language (EVL)
3) Epsilon Transformation Language (ETL)


Query Optimisation

Query optimisation is built-on the top of Epsilon framework. It currently supports EOL, EVL and ETL. This optimisation facility provides custom in memory indices using the information extracted from static analysis.


EVL to Viatra mapping prototype

Prototype implementation of EVL to Viatra mapping. Click here to read the publication.



DSL-comet is an iOS tool that allows graphical, collaborative modelling on mobile devices. You can have an overview of the tool here and you can add new domain metamodel and manage their access via a role hierarchy as described in this article.


ALTER is an iOS application for creating models and interacting with them using augmented reality on iPhones or iPads. You can have an overview of the tool here. Click here to read the publication.