# NiaPy

> Python microframework for building nature-inspired algorithms. Official docs: https://niapy.org

**Wikidata**: [Q120960113](https://www.wikidata.org/wiki/Q120960113)  
**Source**: https://4ort.xyz/entity/niapy

## Summary
NiaPy is a Python microframework specifically designed for building nature-inspired algorithms and computational intelligence solutions. It provides a lightweight interface for implementing optimization techniques inspired by biological processes and natural phenomena.

## Key Facts
- NiaPy is a Python microframework for building nature-inspired algorithms
- The project is licensed under the MIT License, classifying it as free software
- It's hosted on GitHub at https://github.com/NiaOrg/NiaPy
- Official documentation is available at https://niapy.org
- Version 2.1.0 (released December 19, 2023) is currently marked as the stable version
- The project maintains a regular release schedule with versions dating back to its first release (1.0.0) in February 2018
- Releases can be downloaded from the GitHub releases page at https://github.com/NiaOrg/NiaPy/releases
- The framework is developed by NiaOrg, a dedicated organization for nature-inspired algorithms

## FAQs
### Q: What is NiaPy used for?
A: NiaPy is used to develop nature-inspired algorithms and computational intelligence solutions. It provides a streamlined framework for implementing optimization algorithms based on biological processes and natural phenomena.

### Q: What kind of nature-inspired algorithms can be built with NiaPy?
A: NiaPy supports various nature-inspired algorithms including swarm intelligence algorithms (like particle swarm optimization), evolutionary algorithms, and other optimization techniques inspired by biological processes.

### Q: Is NiaPy suitable for beginners in Python programming?
A: As a microframework, NiaPy is designed to be lightweight and user-friendly, making it accessible to Python programmers with basic knowledge. The simplified API allows for quick implementation of complex algorithms.

### Q: What is the latest stable version of NiaPy?
A: Version 2.1.0, released on December 19, 2023, is marked as the stable version of NiaPy. The framework continues to be actively developed with regular updates and improvements.

## Why It Matters
NiaPy addresses a critical need in the computational intelligence and optimization communities by providing a specialized, lightweight framework for nature-inspired algorithms. By abstracting the complexities of these algorithms into a simple Python interface, NiaPy makes these powerful optimization techniques accessible to researchers, developers, and students without requiring deep expertise in the underlying mathematical principles. This democratization of computational intelligence accelerates research and practical applications across fields like engineering, data science, and operations research. The framework's continued development and active community support ensure it remains relevant as new nature-inspired algorithms emerge and existing ones are refined.

## Notable For
- Specialized focus on nature-inspired algorithms rather than offering a general-purpose optimization toolkit
- Lightweight microframework design with minimal dependencies while maintaining comprehensive functionality
- Active development with consistent releases spanning multiple years since its initial release in 2018
- Clear versioning strategy with marked stable releases and transparent changelog
- MIT licensing ensuring maximum accessibility and flexibility for both academic and commercial use

## Body
### Overview
NiaPy is a Python microframework specifically designed for the implementation of nature-inspired algorithms and optimization techniques. The framework provides a simplified interface for developing complex computational intelligence solutions while maintaining the necessary functionality for advanced research applications.

### Development and Version History
The project has undergone consistent development since its inception, with the first version (1.0.0) released on February 28, 2018. The development team has maintained a regular release schedule, with notable major version updates including:

- Version 1.0 series: Initial releases (1.0.0, 1.0.1, 1.0.2) throughout 2018
- Version 2.0 series: Significant updates starting with 2.0.0 on December 27, 2021, followed by multiple minor releases (2.0.1 through 2.0.5) in 2022-2023
- Current stable version: 2.1.0, released on December 19, 2023, marked as the stable release

### Technical Specifications
- License: MIT License
- Source code repository: GitHub (https://github.com/NiaOrg/NiaPy)
- Official documentation: https://niapy.org
- Download URL: https://github.com/NiaOrg/NiaPy/releases
- Classification: Free software
- Development organization: NiaOrg

### Framework Capabilities
NiaPy supports the implementation of various nature-inspired algorithms including:
- Swarm intelligence algorithms (particle swarm optimization, ant colony optimization)
- Evolutionary algorithms (genetic algorithms, differential evolution)
- Other optimization techniques inspired by biological processes and natural phenomena

The framework is designed to be extensible, allowing researchers and developers to implement custom algorithms while benefiting from the framework's core utilities and benchmark functions.

## References

1. [Release 1.0.0. 2018](https://github.com/NiaOrg/NiaPy/releases/tag/1.0.0)
2. [Release 1.0.1. 2018](https://github.com/NiaOrg/NiaPy/releases/tag/1.0.1)
3. [Release 1.0.2. 2018](https://github.com/NiaOrg/NiaPy/releases/tag/1.0.2)
4. [Release 2.0.0. 2021](https://github.com/NiaOrg/NiaPy/releases/tag/2.0.0)
5. [Release 2.0.1. 2022](https://github.com/NiaOrg/NiaPy/releases/tag/2.0.1)
6. [Release 2.0.2. 2022](https://github.com/NiaOrg/NiaPy/releases/tag/2.0.2)
7. [Release 2.0.3. 2022](https://github.com/NiaOrg/NiaPy/releases/tag/2.0.3)
8. [Release 2.0.4. 2022](https://github.com/NiaOrg/NiaPy/releases/tag/2.0.4)
9. [Release 2.0.5. 2023](https://github.com/NiaOrg/NiaPy/releases/tag/2.0.5)
10. [Release 2.1.0. 2023](https://github.com/NiaOrg/NiaPy/releases/tag/2.1.0)
11. [Release 2.3.0. 2024](https://github.com/NiaOrg/NiaPy/releases/tag/v2.3.0)
12. [Release 2.3.1. 2024](https://github.com/NiaOrg/NiaPy/releases/tag/v2.3.1)
13. [Release 2.5.1. 2024](https://github.com/NiaOrg/NiaPy/releases/tag/v2.5.1)
14. [Release 2.5.2. 2025](https://github.com/NiaOrg/NiaPy/releases/tag/v2.5.2)
15. [Release 2.6.0. 2025](https://github.com/NiaOrg/NiaPy/releases/tag/v2.6.0)
16. [Release 2.6.1. 2025](https://github.com/NiaOrg/NiaPy/releases/tag/v2.6.1)
17. [Release 2.7.0. 2026](https://github.com/NiaOrg/NiaPy/releases/tag/v2.7.0)
18. [Source](https://api.github.com/repos/NiaOrg/NiaPy)