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41 changes: 14 additions & 27 deletions README.md
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# TradeStudy.jl

[![jcm-sci](https://img.shields.io/badge/jcm--sci-jcmacdonald.dev-blue)](https://jcmacdonald.dev/software/)
[![jcm-sci](https://img.shields.io/badge/jcm--sci-jcmacdonald.dev-blue)](https://jcmacdonald.dev/projects/)

Multi-objective trade-study orchestration: scoring, Pareto optimization,
and Bayesian stacking for scientific model evaluation.
> [!IMPORTANT]
> **Inactive design scaffold.** This repository does not currently provide a
> usable Julia package or public API. Its source module and tests are
> placeholders, and the package is not registered in Julia's General registry.

## Overview
## Current implementation

`TradeStudy.jl` provides a structured framework for evaluating scientific
simulation models against data via observable-based scoring, multi-objective
Pareto optimization, and Bayesian model stacking.
The maintained implementation is the Python
[trade-study](https://github.com/jcm-sci/trade-study) package. It is released
on [PyPI](https://pypi.org/project/trade-study/) and documented at
[jcm-sci.github.io/trade-study](https://jcm-sci.github.io/trade-study/).

This is the Julia implementation of the
[trade-study](https://github.com/jcm-sci/trade-study) framework (Python).
## Repository purpose

## Status

**Pre-alpha.** API is being designed.

## Related Packages

| Package | Description |
|---------|-------------|
| [trade-study](https://github.com/jcm-sci/trade-study) | Python implementation of this same framework |
| [OpEngine.jl](https://github.com/jcm-sci/OpEngine.jl) | Operator-partitioned solver (planned consumer) |
| [OpSystem.jl](https://github.com/jcm-sci/OpSystem.jl) | System specification compiler (planned consumer) |

## Installation

```julia
using Pkg
Pkg.add("TradeStudy")
```
This repository is retained as a possible starting point for a future Julia
port. There is no active development timeline. Do not depend on it for
research or production work.

## Development

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