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From text & real sources to maintainable .drawio architecture models: Diagram IR with source-kind profiles, incremental sync preserving manual layout, multi-view projection, architecture-as-test with a CI action, query/review, what-if, accessible Story Mode, and a built-in MCP server
Petastorm library enables single machine or distributed training and evaluation of deep learning models from datasets in Apache Parquet format. It supports ML frameworks such as Tensorflow, Pytorch, and PySpark and can be used from pure Python code.
PySysML2 is a Python-based parser for the SysML 2.0 textual modeling language. Its main purpose is to parse a SysML 2.0 textual model into a Python object, and then transform that model into various data structures useful for data science and analysis.
SysMD is a SysML v2/KerML tool with an intuitive, notebook-style interface that makes getting started easy. What truly sets SysMD apart is its integrated solver, enabling engineering calculations directly within the model while automatically ensuring consistency across constraints and requirements.
SysML v2 represents the most significant update to the Systems Modeling Language since its inception. This comparison demonstrates the evolution from SysML v1's UML-based approach to SysML v2's ground-up systems engineering focus.