# andrewkirillov/AForge.NET

AForge.NET Framework is a C# framework designed for developers and researchers in the fields of Computer Vision and Artificial Intelligence - image processing, neural networks, genetic algorithms, machine learning, robotics, etc.

Repository: https://github.com/andrewkirillov/AForge.NET
Canonical: https://ross.abutalabs.com/products/aforgenet
Homepage: http://www.aforgenet.com/framework/
Language: C#
License: NOASSERTION
License Family: other
Last push: 2024-01-22T13:40:09+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 4300, "days_push": 954, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license, no_readme
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1151, forks 504 (observed 2026-08-28T04:03:46.803072+00:00)

## What it is
AForge.NET is an open-source C# framework for computer vision and artificial intelligence, comprising libraries such as AForge.Imaging, AForge.Video, AForge.Neuro, AForge.Genetic, AForge.Fuzzy, and AForge.Robotics. It provides image processing filters, blob analysis, video processing, neural network computation, genetic algorithms, fuzzy logic, and machine learning routines along with sample applications and documentation.

## Use cases
- apply image processing filters in C#
- detect and count blobs in images
- run edge detection or binarization on images
- train simple neural networks in .NET
- process video streams from cameras
- experiment with genetic algorithms and fuzzy logic
- control robotics kits from C#

## When to choose
- you need a classic .NET Framework library for image processing and computer vision
- you want simple neural network or genetic algorithm implementations in C#
- you are maintaining legacy .NET code that already uses AForge

## When to avoid
- you need state-of-the-art deep learning or GPU acceleration
- you are starting a new project - consider Accord.NET or ML.NET instead
- you need active development and modern platform support like .NET Core

## Facets
- artifact type: framework
- maturity: maintenance
- function: image-processing, computer-vision, machine-learning, video-processing, deep-learning, robotics
- domain: computer-vision, image-processing, machine-learning, artificial-intelligence, robotics
- platform: windows, dotnet, cross-platform
- tags: c-sharp, neural-networks, genetic-algorithms, fuzzy-logic, blob-detection, edge-detection, legacy, video

## Member repositories
- andrewkirillov/AForge.NET (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:46.803072+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T06:33:35.874307+00:00, confidence not recorded.
  - homepage: http://www.aforgenet.com/framework/ (fetched 2026-08-29T12:38:22.644192+00:00, sha fefd5eca263b)
  - site_page: https://www.aforgenet.com/framework/features (fetched 2026-08-29T12:38:22.653656+00:00, sha 18627d44d07b)
  - site_page: https://www.aforgenet.com/framework/docs (fetched 2026-08-29T12:38:22.655923+00:00, sha 4e6a86681ac5)
- Data as of 2026-08-30T08:39:29.467469+00:00.