The Tradespace Analysis Toolkit for Constellations (TAT-C) provides low-level data structures and functions for systems engineering analysis and design of Earth-observing space missions suitable for pre-Phase A concept studies.
Documentation: https://tatc.readthedocs.io
Repository: https://github.com/code-lab-org/tatc
TAT-C uses the pip build system to manage dependencies. Install the tatc library in "editable" mode:
pip install -e .Note: the following optional dependencies are available with bracket notation:
pip install -e ".[dev]": for development (unit testing, coverage, and linting)pip install -e ".[docs]": for generating documentationpip install -e ".[examples]": for running optional examplespip install -e ".[osse]": for running optional observing system simulation experiment (OSSE) examplesMultiple optional dependencies can be installed with a comma-separated list (e.g., pip install -e ".[dev,examples]")
Development tools are applicable when working with the source code.
Run unit tests with:
python -m unittestOptionally, run a test coverage report:
coverage run -m unittestincluding html output:
coverage htmlGenerate documentation from the docs directory using the command:
make htmlThis project uses the black code style, applied from the project root:
black .Paul T. Grogan paul.grogan@asu.edu
This project was supported in part by the National Aeronautics and Space Administration (NASA) Earth Science Division (ESD) Earth Science Technology Office (ESTO) Advanced Information Systems Technology (AIST) program. Financial support is acknowledged under NASA grant numbers: NNX17AE06G, 80NSSC17K0586, 80NSSC20K1118, 80NSSC21K1515, 80NSSC22K1705, 80NSSC24K0575, 80NSSC24K0921; NASA Jet Propulsion Laboratory subcontracts: 1689594, 1686623, 1704657, 1705655; Texas A \& M University subaward M2403907.
Current Project Team
Project Alumni