Name | flusstools JSON |
Version |
1.1.14
JSON |
| download |
home_page | None |
Summary | A Python toolbox for river and floodplain analysis. |
upload_time | 2025-07-14 07:22:55 |
maintainer | None |
docs_url | None |
author | None |
requires_python | >=3.10 |
license | BSD 3-Clause License
Copyright (c) 2020, Eco-hydraulics
All rights reserved.
Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions are met:
1. Redistributions of source code must retain the above copyright notice, this
list of conditions and the following disclaimer.
2. Redistributions in binary form must reproduce the above copyright notice,
this list of conditions and the following disclaimer in the documentation
and/or other materials provided with the distribution.
3. Neither the name of the copyright holder nor the names of its
contributors may be used to endorse or promote products derived from
this software without specific prior written permission.
THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE
FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. |
keywords |
python
qgis
geospatial
gis
hydraulic‑engineering
hydroinformatics
hydro‑morphology
numerical
rivers
schwindt
simulations
|
VCS |
 |
bugtrack_url |
|
requirements |
numpy
scipy
alphashape
earthpy
geojson
geopandas
h5py
laspy
mapclassify
pyshp
rasterio
rasterstats
shapely
matplotlib
networkx
openpyxl
pandas
tabulate
pytest
ruff
hatch
hatch-vcs
hatchling
alphashape
tk
|
Travis-CI |
No Travis.
|
coveralls test coverage |
No coveralls.
|
## FlussTools
Head for Python scripts for river analyses.
The full documentation is available at [https://flusstools.readthedocs.io](https://flusstools.readthedocs.io/en/latest/).
### Issues
We depend on GDAL and GDAL installation is buggy. To enable cross-platform support, we currently need to enforce numpy<2.0.0 because most Linux derivatives run on GDAL v3.6 but numpy2 requires GDAL>=3.9.1.
### Create Requirements.txt
`pip-tools` helps to manage `requirements.txt` with more control. It separates direct dependencies from transitive ones.
1. **Install `pip-tools`**:
```sh
pip install pip-tools
```
2. **Create `requirements.in`**:
List your direct dependencies in a `requirements.in` file. For example:
```plaintext
requests
numpy
```
3. **Compile `requirements.txt`**:
Run `pip-compile` to generate `requirements.txt` from `requirements.in`:
```sh
pip-compile requirements.in
```
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"description": "## FlussTools\n\nHead for Python scripts for river analyses.\n\nThe full documentation is available at [https://flusstools.readthedocs.io](https://flusstools.readthedocs.io/en/latest/).\n\n### Issues\n\nWe depend on GDAL and GDAL installation is buggy. To enable cross-platform support, we currently need to enforce numpy<2.0.0 because most Linux derivatives run on GDAL v3.6 but numpy2 requires GDAL>=3.9.1.\n\n### Create Requirements.txt\n\n`pip-tools` helps to manage `requirements.txt` with more control. It separates direct dependencies from transitive ones.\n\n1. **Install `pip-tools`**:\n\n```sh\npip install pip-tools\n```\n\n2. **Create `requirements.in`**:\n\n List your direct dependencies in a `requirements.in` file. For example:\n\n```plaintext\nrequests\nnumpy\n```\n\n3. **Compile `requirements.txt`**:\n\n Run `pip-compile` to generate `requirements.txt` from `requirements.in`:\n\n```sh\npip-compile requirements.in\n```\n\n\n",
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