An lightweight and high performance precision calculation for JavaScript and Node.js. 解决 JavaScript 与 Node.js 精度计算(小数、浮点数计算精度)问题,轻量级、性能较高。
Easily measure performance metrics in JavaScript
Blazing fast and accurate glob matcher written in JavaScript, with no dependencies and full support for standard and extended Bash glob features, including braces, extglobs, POSIX brackets, and regular expressions.
@git-diff-view/lowlight
Returns an array of all tabbable DOM nodes within a containing node.
Library of JavaScript stage-0 decorators (aka ES2016/ES7 decorators but that's not accurate!) inspired by languages that come with built-ins like @override, @deprecate, @autobind, @mixin and more! Works great with React/Angular/more!
A beautiful Syntax Highlighter.
A5 - Global Pentagonal Geospatial Index
A Test-Anything-Protocol library for JavaScript
Is this specifier a node.js core module?
Babel compiler core.
The fastest and most accurate javascript full-text search library. Accurate search uses match distance algorithm to return the accurate order of the matching items.
Standard library
core-js compat
Record, replay, and stub HTTP Interactions
tldts core primitives (internal module)
Core functions & classes shared by multiple AWS SDK clients.
The `util.is*` functions introduced in Node v0.12.
Positioning library for floating elements: tooltips, popovers, dropdowns, and more
A high-level API to automate web browsers
A JavaScript library to mock the local timezone.
regexpu’s core functionality (i.e. `rewritePattern(pattern, flag)`), capable of translating ES6 Unicode regular expressions to ES5.
Standard library
Accessibility engine for automated Web UI testing
Tiny JSON-RPC client for Bitcoin-Core, forwards calls via method_missing. Uses OJ and BigDecimal to accurately deserialize amounts. Heavily based on some throwaway snippets found around the web.
ActiveGenie is an enabler for creating reliable GenAI features, offering powerful, model-agnostic tools across any provider. It allows you to settle subjective comparisons with a `ActibeGenie::Comparator` module that stages a political debate, get accurate scores from an AI jury using `ActiveGenie::Scorer`, and rank large datasets using `ActiveGenie::Ranker`'s tournament-style system. This reliability is built on three core pillars: - Custom Benchmarking: Testing for consistency with every new version and model update. - Reasoning Prompting: Utilizing human reasoning techniques (like debate and jury review) to control a model's reasoning. - Overfitting Prompts: Highly specialized, and potentially model-specific, prompt for each module's purpose.
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