Nimbus

Nimbus

Nimbus BCI
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About

Nimbus is a BCI research workspace for designing, running, and evaluating electroencephalography (EEG) pipelines. Researchers and neuroengineering teams can assemble processing steps visually, use public datasets or upload their own data, compare model configurations, and export pipelines as Python code. The platform includes preprocessing and machine-learning components, simulation and playback, model evaluation, and support for live EEG deployment with compatible hardware. Nimbus Studio provides a web-based visual builder and desktop applications for macOS and Windows, including local/offline workflows. Its API enables pipeline execution from other systems, while Nimbus MCP connects compatible AI coding clients to dataset search, pipeline creation, and experiment tools. A free tier supports prototyping; paid plans add expanded runs, private data, GPU compute, and live hardware capabilities.

About

Scikit-learn provides simple and efficient tools for predictive data analysis. Scikit-learn is a robust, open source machine learning library for the Python programming language, designed to provide simple and efficient tools for data analysis and modeling. Built on the foundations of popular scientific libraries like NumPy, SciPy, and Matplotlib, scikit-learn offers a wide range of supervised and unsupervised learning algorithms, making it an essential toolkit for data scientists, machine learning engineers, and researchers. The library is organized into a consistent and flexible framework, where various components can be combined and customized to suit specific needs. This modularity makes it easy for users to build complex pipelines, automate repetitive tasks, and integrate scikit-learn into larger machine-learning workflows. Additionally, the library’s emphasis on interoperability ensures that it works seamlessly with other Python libraries, facilitating smooth data processing.

Platforms Supported

Windows Supported
Mac Supported
Linux Not Supported
Cloud Supported
On-Premises Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Platforms Supported

Windows Supported
Mac Supported
Linux Supported
Cloud Not Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Audience

BCI researchers, neuroengineers and neurotech developers and teams.

Audience

Engineers and data scientists requiring a solution to manage and improve their machine learning research

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

API

Offers API Supported

API

Offers API Supported

Screenshots and Videos

Screenshots and Videos

Pricing

$29/month
Nimbus Studio offers a free tier with 20 pipeline runs per month on public datasets, CPU compute, simulation and playback, Python export, and the AI assistant. Pro is $29 USD per month and adds unlimited runs, custom data uploads, cloud GPU compute, and live EEG deployment. Enterprise pricing is custom. Academic researchers may be eligible for extended free access.
Free Version Supported
Free Trial Not Supported

Pricing

Free
Free Version Supported
Free Trial Not Supported

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Company Information

Nimbus BCI
Founded: 2025
United States
nimbusbci.com

Company Information

scikit-learn
United States
scikit-learn.org/stable/

Alternatives

Alternatives

Gensim

Gensim

Radim Řehůřek
ML.NET

ML.NET

Microsoft
Nimbus Treasury

Nimbus Treasury

Chella Software
MLlib

MLlib

Apache Software Foundation
Nimbus Clipper

Nimbus Clipper

Nimbus Web
Hopsworks

Hopsworks

Logical Clocks
Keepsake

Keepsake

Replicate

Categories

Data Analysis Supported
Machine Learning Supported

Categories

Machine Learning Supported

Integrations

Python Supported
Claude Code Supported
Claude Desktop Supported
Codex CLI Supported
Cursor Supported
DagsHub Not Supported
GLM-5.1 Not Supported
GLM-5.2 Not Supported
Guild AI Not Supported
Julia Supported
Keepsake Not Supported
MATLAB Supported
MLJAR Studio Not Supported
Matplotlib Not Supported
Model Context Protocol (MCP) Supported
ModelOp Not Supported
NumPy Not Supported
Thunder Compute Not Supported
Train in Data Not Supported

Integrations

Python Supported
Claude Code Not Supported
Claude Desktop Not Supported
Codex CLI Not Supported
Cursor Not Supported
DagsHub Supported
GLM-5.1 Supported
GLM-5.2 Supported
Guild AI Supported
Julia Not Supported
Keepsake Supported
MATLAB Not Supported
MLJAR Studio Supported
Matplotlib Supported
Model Context Protocol (MCP) Not Supported
ModelOp Supported
NumPy Supported
Thunder Compute Supported
Train in Data Supported
Claim Nimbus and update features and information
Claim Nimbus and update features and information
Claim scikit-learn and update features and information
Claim scikit-learn and update features and information