General utilities for Python
General utilities for plugins to use
Utility functions for working with TypeScript's API. Successor to the wonderful tsutils. 🛠️️
Utilities for ESLint plugins.
webpack Validation Utils
Type utilities for working with TypeScript + ESLint together
Utilities for working with TypeScript + ESLint together
Utilities for collecting TSConfigs for linting scenarios.
Shared Vitest utility functions
utility functions for archiver
No description provided.
AST utility module for statically analyzing JSX
merge() utility function
Redis utilities for redis instrumentations
A set of utility functions for expect and related packages
Python language support for the CodeMirror code editor
Utilities for SQL instrumentations
Node.js native addon build tool
Captures and cleans stack traces
Lezer-based Python grammar
Python grammar for tree-sitter
Python dictionary for cspell.
Utilities for ESLint plugins.
Utilities for Floating UI
Detect hallucinated, typosquatted, and non-canonical dependencies
Python environment detection utilities for Intel® Simics® Simulator
A plugin for redcar that uses the python sparkup utility.
A ruby interface to the sslyze python utility
Ruby Scientist and Graphics is a practical data science toolkit for Ruby. It includes a lightweight built-in DataFrame for loading, cleaning, and transforming data; quick descriptive statistics and correlations; charting via Gruff (bar and line); and simple ML utilities (linear regression and k-means)—all behind a small, unified, pandas-inspired API. Key features: - Load data from CSV and JSON. - Clean and transform (remove/add columns, handle missing values, limit rows). - Describe datasets and compute correlations quickly. - Create bar and line charts with customization options. - Train/predict with linear regression; cluster with k-means. - Save/load project state (data + trained model) and run simple pipelines. - Optional backend adapters (e.g., Rover) while keeping the same API. Ideal for analysts and developers who want to explore data in Ruby without relying on Python or R. Note: plotting via Gruff uses rmagick, which requires ImageMagick installed on the system.
Diff and patch tables
Diff and patch tables
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