semvec/pypi-packages huggingface dataset:
imgbbb 1.0.4
Imgbb uploader without API key
License: MIT
Keywords: imgbb_uploader,telegram,host,uploader,imgbb,image

![Logo](https://gist.githubusercontent.com/OneFinalHug/919dc87b426aad4ade68de63897e91fb/raw/235ae0ae7bea0c5c551314408448de788af3c89c/imgbbb.svg)

# Imgbb public Uploader 
[![Telegram](https://img.shields.io/badge/Telegram-2CA5E0?style=flat&logo=telegram&logoColor=white)](https://t.me/onefinalhug) 

![made-with-python](https://img.shields.io/badge/Made%20with-Python-1f425f.svg)

### Upload Images without API key
- Unlimited uploads
- No API limit
- Support Url & Local upload 
- Image link and delete link saved in db.txt.

⚠️ **Warning**: Do not upload private or personal pictures because this library uses the Imgbb public API

## Install
```
pip install imgbbb
```
## Example use

#### Local upload

```
from imgbbb import ImgBbUploader

upload = ImgBbUploader()
up = upload.upload_image("Drive/lol/ofh.jpg")#full image path
print(up)
```
```
>>> imgbbb -i Drive/lol/ofh.jpg
```
#### Url upload
```
from imgbbb import ImgBbUploader

upload = ImgBbUploader()
up = upload.upload_url("https://i.pinimg.com/originals/fe/ea/71/feea71eaa793b00d9e927985a9d4b199.jpg")
print(up)
```
```
imgbbb -u https://i.pinimg.com/originals/fe/ea/71/feea71eaa793b00d9e927985a9d4b199.jpg
```
exma 0.6.1
A Python library with C extensions to analyze and manipulate molecular dynamics trajectories and electrochemical data.
License: MIT
Keywords: exma,molecular-dynamics,data-analysis

# exma

[![exma CI](https://github.com/fernandezfran/exma/actions/workflows/exma_ci.yml/badge.svg)](https://github.com/fernandezfran/exma/actions/workflows/exma_ci.yml)
[![Documentation Status](https://readthedocs.org/projects/exma/badge/?version=latest)](https://exma.readthedocs.io/en/latest/?badge=latest)
[![PyPI](https://img.shields.io/pypi/v/exma)](https://pypi.org/project/exma/)
[![python version](https://img.shields.io/badge/python-3.8%2B-4584b6)](https://www.python.org/)
[![mit license](https://img.shields.io/badge/License-MIT-ffde57)](https://github.com/fernandezfran/galpynostatic/blob/main/LICENSE)
[![Downloads](https://static.pepy.tech/personalized-badge/exma?period=total&units=international_system&left_color=black&right_color=black&left_text=downloads)](https://pepy.tech/project/exma)

**exma** is a Python library with C extensions to analyze and manipulate 
molecular dynamics trajectories and electrochemical data.


## Main Features

Some of the main calculations that can be performed are listed below:

* mean square displacement,
* velocity autocorrelation function,
* radial distribution function,
* coordination number, the ligancy or in a shell,

among others.

For more precise information, see the [tutorials](https://exma.readthedocs.io/en/latest/tutorial.html)
and the [API](https://exma.readthedocs.io/en/latest/api.html) in the documentation.


## Requirements

You need Python 3.8+ to run exma. 


## Installation

### Stable release

To install the most recent stable release of exma with [pip](https://pip.pypa.io/en/stable/), 
run the following command in your termninal:

```bash
pip install exma
```

### From sources

To installing it from sources you can clone this [GitHub repo](https://github.com/fernandezfran/exma) 

```bash
git clone https://github.com/fernandezfran/exma.git
```

and inside your local directory install it in the following way 

```bash
pip install -e .
```


## License

[MIT License](https://github.com/fernandezfran/exma/blob/master/LICENSE)