Bonsai.ML.Visualizers 0.1.0

The ID prefix of this package has been reserved for one of the owners of this package by Prefix Reserved
dotnet add package Bonsai.ML.Visualizers --version 0.1.0
NuGet\Install-Package Bonsai.ML.Visualizers -Version 0.1.0
This command is intended to be used within the Package Manager Console in Visual Studio, as it uses the NuGet module's version of Install-Package.
<PackageReference Include="Bonsai.ML.Visualizers" Version="0.1.0" />
For projects that support PackageReference, copy this XML node into the project file to reference the package.
paket add Bonsai.ML.Visualizers --version 0.1.0
#r "nuget: Bonsai.ML.Visualizers, 0.1.0"
#r directive can be used in F# Interactive and Polyglot Notebooks. Copy this into the interactive tool or source code of the script to reference the package.
// Install Bonsai.ML.Visualizers as a Cake Addin
#addin nuget:?package=Bonsai.ML.Visualizers&version=0.1.0

// Install Bonsai.ML.Visualizers as a Cake Tool
#tool nuget:?package=Bonsai.ML.Visualizers&version=0.1.0

Bonsai - Machine Learning

The Bonsai.ML project is a collection of packages with reactive infrastructure for adding machine learning algorithms in Bonsai. Below you will find the list of packages (and the included subpackages) currently available within the Bonsai.ML collection.

  • Bonsai.ML - provides core functionality across all Bonsai.ML packages.
  • Bonsai.ML.LinearDynamicalSystems - package for performing inference of linear dynamical systems. Interfaces with the lds_python package.
    • Bonsai.ML.LinearDynamicalSystems.Kinematics - subpackage included in the LinearDynamicalSystems package which supports using the Kalman Filter to infer kinematic data.
  • Bonsai.ML.Visualizers - provides a set of visualizers for dynamic graphing/plotting.

[!NOTE] Bonsai.ML packages are installed through Bonsai's integrated package manager and are typically available for use immediately. However, certain packages may require additional steps for installation. See the dedicated package section for specific guides and documentation.


Development of this package was supported by funding from the Biotechnology and Biological Sciences Research Council [grant number BB/W019132/1].

Product Compatible and additional computed target framework versions.
.NET Framework net472 is compatible.  net48 was computed.  net481 was computed. 
Compatible target framework(s)
Included target framework(s) (in package)
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Version Downloads Last updated
0.1.0 165 3/8/2024