broom - Convert statistical analysis objects from R into tidy format

•    R

For a detailed introduction, please see vignette("broom"). broom tidies 100+ models from popular modelling packages and almost all of the model objects in the stats package that comes with base R. vignette("available-methods") lists method availabilty.

Snorkel - A system for quickly generating training data with weak supervision

•    Jupyter

Snorkel is a system for rapidly creating, modeling, and managing training data, currently focused on accelerating the development of structured or "dark" data extraction applications for domains in which large labeled training sets are not available or easy to obtain. <BR><BR> Today's state-of-the-art machine learning models require massive labeled training sets--which usually do not exist for real-world applications. Instead, Snorkel is based around the new data programming paradigm, in which the developer focuses on writing a set of labeling functions, which are just scripts that programmatically label data. The resulting labels are noisy, but Snorkel automatically models this process—learning, essentially, which labeling functions are more accurate than others—and then uses this to train an end model (for example, a deep neural network in TensorFlow).

Mesa is a agent-based modeling framework in Python

•    Python

Mesa is an Apache2 licensed agent-based modeling (or ABM) framework in Python.It allows users to quickly create agent-based models using built-in core components (such as spatial grids and agent schedulers) or customized implementations; visualize them using a browser-based interface; and analyze their results using Python's data analysis tools. Its goal is to be the Python 3-based alternative to NetLogo, Repast, or MASON.

regression-js - Curve Fitting in JavaScript.

•    Javascript

regression-js is a JavaScript module containing a collection of linear least-squares fitting methods for simple data analysis. This module works on node and in the browser. It is available as the 'regression' package on npm. It is also available on a CDN.

gaphor - Gaphor is the simple modeling tool

•    Python

Gaphor is a UML and SysML modeling application written in Python. It is designed to be easy to use, while still being powerful. Gaphor implements a fully-compliant UML 2 data model, so it is much more than a picture drawing tool. You can use Gaphor to quickly visualize different aspects of a system as well as create complete, highly complex models. Gaphor is a UML and SysML modeling application written in Python. We designed it to be easy to use, while still being powerful. Gaphor implements a fully-compliant UML 2 data model, so it is much more than a picture drawing tool. You can use Gaphor to quickly visualize different aspects of a system as well as create complete, highly complex models.

KangaModeling

•    DotNet

KangaModeling allows you to produce UML (like) diagrams very easily. The main idea is to generate the diagram from lightweight markup textual diagram description language. KangaModeling is made for those who think that full-fledged modeling tools are overdesigned for visua...

NModel

•    DotNet

NModel is a model-based analysis and testing framework for model programs written in C#. It provides software support for the book "Model-based Software Testing and Analysis with C#", Cambridge University Press, 2008.

XCase - Tool for XML Data Modeling

•    DotNet

XCase is a case tool for conceptual modeling of XML data based on MDA as it separates the conceptual modeling process to two levels: Platform-Independent and Platform-Specific Model. From each PSM diagram you can derive an XML schema describing a data view.

AnyCAD Open Source

•    C++

The Open Source AnyCAD!

A Discrete-Event Simulation Library written in C# using Three-Phase Technique

This is a discrete-event simulation (DES) library that uses the three phase technique as described by the works of K D Tocher and Mike Pidd.

Entity.works

Simple T4 templates to generate database schema, CRUD stored-procedures and L2SQL classes. Simple XML model (document) describes your entities and feeds all templates for quick, consistent, maintainable code.

Feature Model DSL

Feature Model DSL makes it possible for you to design and configure feature models using Visual Studio. It is developed using the Microsoft DSL Tools.

DatabaseLint - find bugs in databases

DBLint is an automated tool for analyzing database designs. DBLints ensures a consistent and maintainable database design by identifying bad design patterns.

Cooperator Framework

Cooperator Framework is a base class library for high performance Object Relational Mapping (ORM), and a code generation tool that aids agile application development for Microsoft .Net Framework 2.0/3.0. The primary goal is to make simple and transparent objects yet enabling ...

CellularSolver

The main idea of a this project - create cellular automation (CA) simulation system. We try to reduce ODE/PDE/Integral Equations models to CA-model

DSLFactory Utilities

DSLFactory.Utilities is a library providing a set of utilities to be used with Domain Specific Languages created with the Microsoft DSL Tools Among other features you will find new common contextual commands, help for supporting reverse engineering from class view, incremental...

JUNG: Java Universal Network/Graph Framework

•    Java

JUNG is a software library that provides a common and extensible language for the modeling, analysis, and visualization of data that can be represented as a graph or network. Its basis in Java allows JUNG-based applications to make use of the extensive built-in capabilities of the Java API, as well as those of other existing third-party Java libraries.

lime - Local Interpretable Model-Agnostic Explanations (R port of original Python package)

•    R

one observation at a time. This is an R port of the Python lime package (https://github.com/marcotcr/lime) developed by the authors of the lime (Local Interpretable Model-agnostic Explanations) approach for black-box model explanations. All credits for the invention of the approach goes to the original developers.

pynamical - Pynamical is a Python package for modeling and visualizing discrete nonlinear dynamical systems, chaos, and fractals

•    Python

pynamical uses pandas, numpy, and numba for fast simulation, and matplotlib for visualizations and animations to explore system behavior. Compatible with Python 2 and 3. Pynamical comes packaged with the logistic map, the Singer map, and the cubic map predefined. The models may be run with a range of parameter values over a set of time steps, and the resulting numerical output is returned as a pandas DataFrame. Pynamical can then visualize this output in various ways, including with bifurcation diagrams, two-dimensional phase diagrams, three-dimensional phase diagrams, and cobweb plots.

Dash

•    Julia

🚧 Dash.jl is a work-in-progress. Feel free to test the waters and submit issues. Built on top of Plotly.js, React and HTTP.jl, Dash ties modern UI elements like dropdowns, sliders, and graphs directly to your analytical Julia code.