2 个仓库
Interfaces for interpolating, differentiating, and visualizing numerical simulation outputs.
Distinct from Data Analysis and Visualization: Distinct from general data analysis: focuses specifically on the post-processing of differential equation solution data.
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Mesa is a Python framework for agent-based modeling and complex systems simulation. It provides a toolkit for creating simulations where autonomous agents interact within a shared environment to observe emergent global behaviors. The project includes a browser-based interface for real-time visualization of simulation states and agent interactions. It also functions as a data analysis library for recording and processing metrics from model runs to quantify system behavior. The framework supports multiple environmental topologies, including grid-based spatial mapping and network-graph topologi
Provides tools to process data from model runs to identify patterns and quantify system behavior.
DifferentialEquations.jl is a comprehensive numerical library designed for solving ordinary, stochastic, delay, and algebraic differential equations. It functions as a high-performance solver suite that integrates scientific machine learning, probabilistic programming, and automated differentiation into a unified framework. By leveraging multiple dispatch and symbolic-numeric integration, the library provides a flexible environment for complex mathematical modeling and simulation. The project distinguishes itself through its ability to bridge traditional numerical analysis with modern machine
Provides standardized interfaces for interpolating, differentiating, and visualizing numerical simulation results.