Spectral is a Node-based HTTP/HTTPS proxy server and inspector for the commandline
[](https://stoplight.io/api-governance?utm_source=github&utm_medium=spectral&utm_campaign=readme) [ and [@stoplight/json-ref-readers](https://github.com/stoplightio/json-ref-readers).
Self-host the Spectral font in a neatly bundled NPM package.
Programmatic utility functions for creating Spectral-formatted OpenAPI Rulesets
Bundled version of @stoplight/spectral-cli
A spectral ruleset to enforce the AWS API Gateway Important Notes
Spectral ruleset
A test harness for validation of Spectral API linting rules
Global Spectral Deconvolution
spectral
Check Digit Spectral Config
Spectral ruleset by API Quality
Welcome to the [Spectral](https://stoplight.io/open-source/spectral) Linter plugin!
Custom Spectral API Linter ruleset for Baloise API Guidelines based on Zalando API guidelines.
Use the Spectral font family from Google Fonts in your Expo app
Spectral Corsair ecto-module
Opinonated ruleset for Spectral
A Spectral ruleset for JSON:API, built as TypeScript.
This project exposes the available formatters from the CLI for users that perform custom validation through Javascript.
Spectral typeface
Fluent test assertions
surge synthesizer -- wavetable oscillator
Spectral sheaf theory in Rust — sheaf Laplacian, spectral sheaf theory, diffusion on sheaves, cohomology
Read, write and validate optical spectral data files (UV-Vis, visible-range spectra)
Functional analysis on multivector spaces - Hilbert spaces, linear operators, and spectral theory
Rust Spectral Colorimetry library with JavaScript/WASM interfaces
Spectral first integral I(x) = γ(x) + H(x) conservation tracker for coupled nonlinear dynamics
A lightweight, zero-dependency library utilizing Spectral Graph Theory to isolate topological network anomalies.
Spectral analysis of tension graphs for anomaly detection, fingerprinting, and structural health
Spectral clustering via normalized Laplacian, LOBPCG, and k-means
High-performance Rust engine for SIA² (Self-Improving AI with Spectral Architecture)
Conservation-Spectral-Topology (CST) unified framework for spectral graph analysis
Powerful macro generation of spec files from rails mvc and mustache templates
This is the utility built for summing of individual MS(n) spectra in order to bolster the signal of weak fragmentation. It provides an API and a command-line interface for general use.
Write a short summary, because Rubygems requires one.
Rumale::Clustering provides cluster analysis algorithms, such as K-Means, Gaussian Mixture Model, DBSCAN, and Spectral Clustering, with Rumale interface.
GSL extension: Filtering Datasets via Highpass, Lowpass, Bandpass or Bandblock
Sonus extracts time-domain, spectral, and perceptual audio features in pure Ruby with optional FFTW acceleration.
Muze is a Ruby audio analysis and feature extraction library that provides audio loading, spectral analysis, feature extraction, rhythm analysis, and audio effects.
Rumale is a machine learning library in Ruby. Rumale provides machine learning algorithms with interfaces similar to Scikit-Learn in Python. Rumale supports Support Vector Machine, Logistic Regression, Ridge, Lasso, Multi-layer Perceptron, Naive Bayes, Decision Tree, Gradient Tree Boosting, Random Forest, K-Means, Gaussian Mixture Model, DBSCAN, Spectral Clustering, Mutidimensional Scaling, t-SNE, Fisher Discriminant Analysis, Neighbourhood Component Analysis, Principal Component Analysis, Non-negative Matrix Factorization, and many other algorithms.
Maps ideas as stars with magnitude and spectral class, groups them into constellations with pattern types, and enables celestial navigation between related concepts across cognitive domains.
Spectral decomposition of complex ideas into band-specific components — white light in, rainbow out. Decompose ideas across abstraction wavelengths, attenuate and amplify components, then recompose synthesized understanding.
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