semvec/pypi-packages huggingface dataset:
lighttech 0.0.1
lighttech is a powerful Python library designed for calculating and analyzing vegetation indices from remote sensing and spectral data.
Requires Python: >=3.6

vegLib is a powerful Python library designed for calculating and analyzing 
vegetation indices from remote sensing and spectral data. With easy-to-use 
functions, it empowers researchers and developers to quantify and monitor vegetation 
health, enabling precise insights into ecosystems, agriculture, and environmental studies. 
vegLib is the go-to tool for extracting valuable information from spectral imagery, 
contributing to more informed decisions in the realm of vegetation analysis.
MIT License

Copyright (c) 2023 Derraz Radhwane

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 copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
evautils 1.0.1
Utils for Python.

# EvaUtils

**EvaUtils** is Utils for Python.

## Example Usage

```python
from evautils.requests import download_file
from evautils.futures import multi_thread_executor


print(download_file('./', 'https://demo.com/demo.jpg'))


def demo(items, update, name):
    for item in items:
        print(name, item)
    if update:
        update()


multi_thread_executor(2, [1, 2], demo, None, 'thread')

```

## Installing EvaUtils

EvaUtils is available on PyPI:

```console
$ python -m pip install evautils
```
rmslib 0.0.1
rmslib is a powerful Python library designed for calculating and analyzing vegetation indices from remote sensing and spectral data.
Requires Python: >=3.6

vegLib is a powerful Python library designed for calculating and analyzing 
vegetation indices from remote sensing and spectral data. With easy-to-use 
functions, it empowers researchers and developers to quantify and monitor vegetation 
health, enabling precise insights into ecosystems, agriculture, and environmental studies. 
vegLib is the go-to tool for extracting valuable information from spectral imagery, 
contributing to more informed decisions in the realm of vegetation analysis.
MIT License

Copyright (c) 2023 Derraz Radhwane

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 copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.