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Pretty Damn Quick (PDQ) analytically solves queueing network models of computer and manufacturing systems, data networks, etc., written in conventional programming languages. Generic or customized reports of predicted performance measures are output.
Multidocument automation by templates - for sphinx, mkdocs, epydoc ...
The ‘setupdocx‘ provides a control layer for continuous documentation by the simplified creation, packaging, and installation of documentation. The provided commands are distributed as entry points and optional base classes for further customization into 'setup.py' - setuptools / distutils.
Manages arbitrary document templates for the supported builder, supports multiple builds with arbitrary document layouts, designs, and patched contents.
The current release supports the following...
A free cross-platform editor for the DRAKON visual language.
DRAKON is a diagram language developed within the Russian space program. Its primary objective is presenting complex software systems in a way which is easy to understand by humans.
DRAKON's motto: took a glance - understood at once.
DRAKON Editor helps software architects, quality specialists and developers.
Architects and quality assurers can express a high-level view of how their product works. DRAKON serves them to explain the dynamics of a software system.
Software engineers can use...
That project aims at providing a clean API, and the corresponding C++ implementation, for the basis of Airline IT Business Object Model (BOM), ie, to be used by several other Open Source projects, such as RMOL, Air-Sched, Travel-CCM, OpenTREP, etc.
Ensure the availability of your data with coverage across AWS, Azure, and GCP on MongoDB Atlas—the multi-cloud database for every enterprise.
MongoDB Atlas allows you to build and run modern applications across 125+ cloud regions, spanning AWS, Azure, and Google Cloud. Its multi-cloud clusters enable seamless data distribution and automated failover between cloud providers, ensuring high availability and flexibility without added complexity.
A tool for visualization and analysis of logs as sequence diagrams
MSCViewer is a tool intended for debugging of control flows in concurrent, distributed systems.
The tool loads logs generated by various entities in the system and visualize a sequence diagram chart for events and interactions. The diagram is fully interactive: entity can be added/removed from the diagram and shuffled; events can be filtered, searched, highlighted and annotated with comments.
MSCViewer features integration with a Python interpreter which allows writing Python scripts...
That project aims at studying the impact of IT systems interactions on traveller demand and airline revenues. Passenger demand is generated (Monte Carlo) and injected into simulated CRS and airline IT systems. Differential analysis is then performed on various changes compared to a bottom line scenario.
itemis CREATE - formerly known as Yakindu Statechart Tools (SCT) - is a tool for the specification and development of reactive, event-driven systems with the help of state machines. It consists of an easy-to-use tool for graphical editing and provides validation, simulation and code generators for different target platforms.
Visit http://www.statecharts.org for more information!
!! YAKINDU SCT HAS MOVED !!
DOWNLOAD FROM https://info.itemis.com/download-yakindu-statechart-tools
A Python programming environment providing memory sizing, profiling and analysis, and a specification language that can formally specify aspects of Python programs and generate tests and documentation from a common source.
This project provides a set of Python tools for creating various kinds of neural networks, which can also be powered by genetic algorithms using grammatical evolution. MLP, backpropagation, recurrent, sparse, and skip-layer networks are supported.
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Most known is SPE, a python IDE with auto indentation&completion,call tips,syntax coloring&highlighting,uml viewer,class explorer,source index,todo list,pycrust shell,file browsers,drag&drop,Blender support.Spe ships with wxGlade,PyChecker and Kiki.
Konzept is a small class diagram editor. Major design goal was usability. The project was inspired by the static diagram editor of the Toolkit of Conceptual Modelling. Konzept is a pure Qt application written in Python.
Gaphor is a UML modeling environment written in Python. Gaphor is small and very extensible.
The repository is located at http://github.com/gaphor/gaphor.
Our goal is to develop a full working solver for ATA (with 1 clock) in Python, with MTL to ATA support. The decidability for the emptiness problem was proposed by Lasota and Walukiewicz. The MTL to ATA was proposed by Ouaknine and Worrell.
The Location Containment Object Model(LCOM) is a simulation framework written in Python. LCOM provides a rule-based solution to handling partial object containment, object migration, message passing, and simulation observation.
This project develops a full-functional UML-Roundtrip-Tool for Python. It is realized as an Eclipse Plugin based on the plugins PyDev und Eclipse Uml2Tools. * Full Roundtrip Functionality * Uml2Tools Model Editor included * Live Validation * UML Views
SPE is a python IDE with auto indentation&completion,call tips,syntax coloring&highlighting,uml viewer,class explorer,source index,todo list,pycrust shell,file browsers,drag&drop,Blender support.Spe ships with wxGlade,PyChecker and Kiki.
KML is a knowledge base with support of logical modeling. Advanced model is used to represent knowledge as a set of statements similar to natural language sentences. This project hosts a set of model storage library and server (vrb-ols) and clients.
Coral is a tool and a development platform to create and transform models and modeling languages. It can be used to edit UML models, to develop editors for other modeling languages and to implement MDA and QVT-like model transformations.
An AToM3 definition of a CASE framework for creating Zope products with files in the filesystem. The framework consists of a modelling notation ZProduct and a suit of related transformations.
This is an educational example of how to run a numerical model (in Fortran) from Python, including data handling (netCDF), configuration with a config file, etc.
Framework applying all MDE (Model Driven Engineering) concepts with : a core MetaMeta Model based on the OMG's MOF, a model transformation engine, a code generation engine (in discussion...) and a set of MetaModel suitable for use with this framework.