t3co-go 0.1.2

A web-based dashboard for NREL's Transportation Technology Total Cost of Ownership (T3CO) tool

License: BSD-3-Clause Keywords: tco,vehicle-cost,total-cost,vehicle-simulation,total-cost-of-ownership Author: Harish Panneer Selvam Author-email: [e-mail] Maintainer: NREL-AVCI Maintainer-email: [e-mail] Requires-Python: >=3.9, <3.11 Classifier: Development Status :: 4 - Beta Classifier: Intended Audience :: Developers Classifier: Intended Audience :: Science/Research Classifier: Intended Audience :: Education Classifier: Topic :: Scientific/Engineering Classifier: License :: OSI Approved :: BSD License Classifier: Programming Language :: Python :: 3 :: Only Classifier: Programming Language :: Python :: 3.9 Classifier: Programming Language :: Python :: 3.10 Requires-Dist: numpy (>=1.24,<2.0) Requires-Dist: pandas (>=2.0.3,<3.0.0) Requires-Dist: scipy (>=1.10.1,<2.0.0) Requires-Dist: streamlit (>=1.41,<2.0) Project-URL: Bug Tracker, https://github.com/NREL/t3co_go/issues Project-URL: Documentation, https://nrel.github.io/T3CO_Go/ Project-URL: Homepage, https://www.nrel.gov/transportation/t3co.html Project-URL: Repository, https://github.com/NREL/t3co_go Description-Content-Type: text/markdown

[](https://www.nrel.gov/transportation/t3co.html) [](https://github.com/NREL/T3CO_Go) [](https://nrel.github.io/T3CO_Go/) [](https://pypi.org/project/t3co-go/)  

# T3CO-Go

This repo contains a web-based dashboard called T3CO-Go for NREL’s [Transportation Technology Total Cost of Ownership tool, T3CO](https://nrel.github.io/T3CO/).

## Installation

For detailed instructions for setting up enviroment and other prerequisites to [Installation Guide](https://github.com/NREL/T3CO_Go/blob/main/docs/installation.md)

T3CO-Go can be installed from two sources: PyPI or GitHub

### Installation Source #1: PyPI

From within the [Python environment](https://github.com/NREL/T3CO_Go/blob/main/docs/installation.md#setting-up-env), navigate to the parent directory containing the T3CO repository (cd T3CO-Go) and run one of these three installation options:

For the default option/extra:

`bash pip install t3co_go `

### Installation Source #2: From a git clone of the repository

T3CO-Go can also be installed from a clone of the GitHub repository.

First, [clone](https://git-scm.com/docs/git-clone) the repository from [GitHub](https://github.com/NREL/T3CO_Go) from your desired directory (eg., /Users/Projects/):

`bash git clone https://github.com/NREL/T3CO_Go.git T3CO_Go `

This creates a git compliant folder ‘T3CO_Go’ (i.e., a ‘/Users/Projects/T3CO_Go’ folder)

From within the [Python environment](https://github.com/NREL/T3CO_Go/blob/main/docs/installation.md#setting-up-env), navigate to the parent directory containing the T3CO repository (cd T3CO_Go) and run this command:

`bash pip install -e . `

## Quick Start

Go to [Quick Start Guide](https://github.com/NREL/T3CO_Go/blob/main/docs/quick_start.md)

## Starting a T3CO-Go instance

After installing T3CO_Go within a Python environment using one of the two sources, run this command:

`bash run_t3co_go `

This will open a web browser tab with T3CO prepared to run on your local machine in the background.

## Acknowledgements

## How to Cite this tool