<div align="center">
<p>
<a href="https://feloopy.github.io" target="_blank">
<picture>
<source media="(prefers-color-scheme: light)" srcset="https://github.com/feloopy/feloopy/raw/main/repo/assets/feloopy-logo-name-light.png">
<source media="(prefers-color-scheme: dark)" srcset="https://github.com/feloopy/feloopy/raw/main/repo/assets/feloopy-logo-name-dark.png">
<img alt="FelooPy's logo." src="https://github.com/feloopy/feloopy/raw/main/repo/assets/feloopy-logo-name-light.png" width="300" height="auto">
</picture>
</a>
</p>
</div>
<p align="center">
<strong>Efficient & Feature-Rich Integrated Decision Environment</strong>
</p>
<div align="center" style="margin-bottom: 2px;">
[](https://pepy.tech/project/feloopy)
</div>
<br>
### Quick Intro
FelooPy (/fɛlupaɪ/) is a user-friendly tool for coding, modeling, and solving decision problems. It helps you focus on analysis and offers and supports a wide range of mathematical and statistical models and algorithms for decision-making.
<br>
### Quick Features
- **Linear & Non-Linear Programming**: Exact algorithms for LP/NLP.
- **Integer & Mixed-Integer Programming**: Exact algorithms for IP/MIP.
- **General Purpose Programming**: Heuristic algorithms for various problems.
- **Constraint Programming**: Techniques for constraint satisfaction.
- **Multi-Objective Decision-Making**: Optimizing multiple objectives (MODM/MCDM).
- **Multi-Attribute Decision-Making**: Evaluating opinions on alternatives using multiple attributes (MADM/MCDM).
<br>
### Quick Installation
You can install `feloopy` inside a Python>=3.10.x virtual environment:
```bash
pip install -U "feloopy[stock]==0.3.6"
```
For supporting the developer, testing the latest version, and reporting bugs or contributing to the codebase, use:
```bash
pip install "feloopy[stock] @ git+https://github.com/feloopy/feloopy.git"
```
<br>
### Quick Testing
Here is an example to test FelooPy's functionality:
```python
import feloopy as flp
def example(m):
x = m.bvar(name="x")
y = m.pvar(name="y", bound=[0, 1])
m.con(x + y <= 1, name="c1")
m.con(x - y >= 1, name="c2")
m.obj(x + y)
return m
flp.search(example,directions=["max"]).clean_report()
```
<br>
### Quick Citation
To cite or give credit to FelooPy in publications, projects, presentations, web pages, blog posts, etc. please use one of the following entries, based on the used version:
<br>
#### APA 6th/7th Edition
Tafakkori, K. (2024). *Efficient and feature-rich integrated decision environment* [Python Library]. Retrieved from [https://github.com/feloopy/feloopy](https://github.com/feloopy/feloopy) (Original work published April 2024).
#### LaTeX/BiBTeX
```
@software{ktafakkori2024Apr,
author = {Keivan Tafakkori},
title = {{FelooPy: Efficient and feature-rich integrated decision environment}},
year = {2024},
month = apr,
publisher = {GitHub},
url = {https://github.com/feloopy/feloopy/}
}
```
<br>
<br>
<details>
<summary>Previous citations</summary>
#### Versions before 0.3.6
##### APA 6th/7th Edition
Tafakkori, K. (2022). FelooPy: An integrated optimization environment for AutoOR in Python [Python Library]. Retrieved from https://github.com/ktafakkori/feloopy (Original work published September 2022).
##### LaTeX/BiBTeX
```
@software{ktafakkori2022Sep,
author = {Keivan Tafakkori},
title = { {FelooPy: An integrated optimization environment for AutoOR in Python} },
year = {2022},
month = sep,
publisher = {GitHub},
url = {https://github.com/ktafakkori/feloopy/}
}
```
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