NeuroPype 2026

It's time for our next major release of the NeuroPype signal processing suite! (We skipped a 2025 release, so this one packs in a lot.) Headlining the release is a brand-new pipeline file format, a major expansion of our Bayesian machine learning toolkit, and a wave of new real-time visualization and notification capabilities.

A new YAML pipeline format

The biggest change is a new, human-readable YAML-based pipeline file format. Unlike the legacy XML-based format, YAML pipelines are plain text throughout, embed each node's properties right in the node definition, and are diff- and merge-friendly — ideal for version control and collaboration. You can edit a pipeline's settings in your favorite text editor if needed. The NeuroPype API reads and writes both the new and legacy formats and auto-detects them by content, so your existing pipelines keep loading exactly as before. You can also load lightweight YAML parameter-override files that apply per-node values to an already-loaded pipeline, giving you small configuration variants instead of many near-duplicate pipelines. The bundled example pipelines have been converted to YAML, and Pipeline Designer now saves in YAML by default.

Bayesian machine learning expansion

This release brings a large Bayesian machine learning expansion: a new family of sparse Bayesian logistic-regression classifiers — including R2-D2, regularized horseshoe, several spike-and-slab variants, empirical-Bayes, and Skinny Gibbs methods — giving you powerful new tools for high-dimensional neural state decoding.

Real-time visualization & notifications

We've added a suite of new real-time visualization nodes, including a new PlotDashboard node that tiles live plots from other visualization nodes into a single window, a new stacked-lines mode for the TimeSeriesPlot, live image (heatmap) and table plots, and more. A new Notification node can send alerts via Email, Slack, Teams, Discord, or Pushover, and the Resample node now performs resampling in real time on streaming data.

New connectivity, spectral & diagnostics nodes

There are also new connectivity, spectral, and diagnostics nodes — cross-spectral density, phase slope index, ridge/ARD MVAR models, automated channel-quality scoring, and signal-quality classification, among others.

REST API

The REST API gains new /inputs and /outputs endpoints that report the files an offline pipeline received and generated, along with richer error reporting and new configuration options — plus, as always, plenty of minor improvements, node documentation clarifications, and bug fixes throughout.

Grab the latest release from your NeuroPype account, or sign up today if you're not yet a NeuroPype user. We greatly appreciate any feedback you may have, especially from those using the Academic Edition.