scenario-analysis

Turns Data and AI algorithms into production-ready web applications in no time.

PyPSA-Earth: A flexible Python-based open optimisation model to study energy system futures around the world.

Experimental scenario analysis for real-life events forecasting with Codex or Claude

[Survey Paper] This repository collects research papers of large Foundation Models for Scenario Generation and Analysis in Autonomous Driving. The repository will be continuously updated to track the latest update.

A Python library to build powerful and customized data-driven back-end applications.

MetaScenario: A Framework for Driving Scenario Data Description, Storage and Indexing

Open model and data for SWITCH-China, modeling the world's largest power system

Python-first systemic-risk research software for evidence-graded, bitemporal dependency graphs. Import JSON, CSV, GraphML, or NetworkX; run bounded shocks, compare constrained interventions and sensitivity surfaces, and export recomputation-verifiable RiskPacks. Includes 16 scenario-only cases and 11 connector contracts.

FlyingKoala turns Excel into a user interface for defining calculations in Python and so reduces the complexity for humans translating from Excel to Python and makes the calculations more transparent to other domain experts, managers, bankers and auditors.

The XAI-Powered strategic engine for reasoning how technologies impact the market.

Future Technology Transformation models: a family of evolutionary economics models to investigate energy policy

TIMES-Ireland Model (TIM)

A library of published compartmental epidemic models, and classes to represent demographic structure, non-pharmaceutical interventions, and vaccination regimes, to compose epidemic scenarios.

🚧 🚔 ⚠ Toolbox to compute Criticality Measures for Automated Vehicles

A Streamlit dashboard that measures skill adaptation debt instead of predicting outcomes. It decomposes pressure into churn, novelty, and breadth to explain which roles/industries are becoming harder to staff. Includes role/industry reports, skill pressure maps, what-if scenario simulation, and a dataset explorer.

A data warehouse for high-powered scenario analysis in the domain of integrated assessment of climate change and energy systems modeling

Conditional Forecasting and Scenario Analysis Using VAR Models (R package)

Tools for Stochastic Simulation using diffusion models (R).

Source code for figure generation and analysis of the ENGAGE netzero scenario analysis

Model of the Italian energy system from 2006 to 2050, based on the TEMOA modeling framework and developed by MAHTEP Group.