Metadata-Version: 2.4
Name: transformez
Version: 0.3.7
Summary: A standalone utility for vertical elevation datum transformations.
Project-URL: Homepage, https://github.com/continuous-dems/transformez
Project-URL: Issues, https://github.com/continuous-dems/transformez/issues
Author-email: Matthew Love <matthew.love@colorado.edu>, Christopher Amante <christopher.amante@colorado.edu>, Elliot Lim <elliot.lim@colorado.edu>, Michael MacFerrin <michael.macferrin@colorado.edu>, Matt Fisher <mfisher87@gmail.com>
Maintainer-email: Matthew Love <matthew.love@colorado.edu>
License: MIT License
        
        Copyright (c) 2010-2026 Regents of the University of Colorado
        
        Permission is hereby granted, free of charge, to any person obtaining a copy
        of this software and associated documentation files (the "Software"), to deal
        in the Software without restriction, including without limitation the rights
        to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
        copies of the Software, and to permit persons to whom the Software is
        furnished to do so, subject to the following conditions:
        
        The above copyright notice and this permission notice shall be included in all
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        THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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        OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
        SOFTWARE.
License-File: AUTHORS.md
License-File: LICENSE
Keywords: Geospatial
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3
Classifier: Topic :: Scientific/Engineering :: GIS
Requires-Python: >=3.12
Requires-Dist: click
Requires-Dist: fetchez>=0.5.0
Requires-Dist: numpy>1.24
Requires-Dist: pyproj>3.6.1
Requires-Dist: rasterio>1.4.0
Requires-Dist: scipy
Provides-Extra: full
Requires-Dist: matplotlib; extra == 'full'
Provides-Extra: preview
Requires-Dist: matplotlib; extra == 'preview'
Description-Content-Type: text/markdown

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<h1 align="center">Transformez</h1>
<p align="center"><strong>Global vertical datum transformations, simplified.</strong></p>

<p align="center">
  <a href="https://github.com/continuous-dems/transformez"><img src="https://img.shields.io/badge/version-0.3.6-blue.svg" alt="Version"></a>
  <a href="LICENSE"><img src="https://img.shields.io/badge/license-MIT-green.svg" alt="License"></a>
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  <a href="https://badge.fury.io/py/transformez"><img src="https://badge.fury.io/py/transformez.svg" alt="PyPI version"></a>
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</p>

**Transformez** is a standalone Python engine for converting geospatial data between vertical datums (e.g., `MLLW` ↔ `NAVD88` ↔ `Ellipsoid`).

Originally developed as the core transformation engine for the [CUDEM](https://github.com/continuous-dems/cudem) project, Transformez has evolved into a standalone datum transformation suite.

---

## ❓ Why Transformez?

Vertical Datum transformations can cause a lot of confusion and headache when trying to process heterogeneous data from around the world into a single unified vertial reference.

**Transformez simplifies this process!**

---

## 📦 Installation

**Install Transformez**
Install the transformez python package:

```bash
pip install transformez
```

**Install HTDP**
The NGS Horizontal Time-Dependent Positioning (HTDP) software is required to perform highly accurate plate tectonic and frame transformations, you can install it with transformez!:

```bash
transformez htdp install
```

## 🐄 Quickstart

**Generate a vertical shift grid for anywhere on Earth.**

```bash
# Transform MLLW to WGS84 Ellipsoid in Norton Sound, AK

transformez grid -R -166/-164/63/64 -E 1s -I mllw -O 4979
```

**Transform a raster directly.** Transformez reads the bounds/resolution from the file.

```bash
transformez raster my_dem.tif -I mllw -O 5703
```

**Integrate directly into your fetchez pipeline.**

```bash
# Download GEBCO and shift EGM96 to WGS84 on the fly
fetchez gebco ... --hook transformez:datum_in=5773,datum_out=4979
```
---

## 📚 Documentation
Would you like to know more? Check out our [Official Documentation](https://transformez.readthedocs.io) to learn about:

* **The Python API:** Build custom transformation into your apps.

---

## ⚖ License

This project is licensed under the MIT License - see the [LICENSE](https://github.com/ciresdem/transformez/blob/main/LICENSE) file for details.
Copyright (c) 2010-2026 Regents of the University of Colorado
