Ranks core modules by usage across all of NPM
 [](https://jsr.io/@t3-oss/env-core) [](https://jsr.io/@t3-oss/env-core) [ [](https://jsr.io/@t3-oss/env-core) [](https://jsr.io/@t3-oss/env-core) [ [](https://jsr.io/@t3-oss/env-core) [](https://jsr.io/@t3-oss/env-core) [ [](https://jsr.io/@tanstack-themes/core) [](https://jsr.io/@tanstack-t
Advanced Charting / Charts supporting Javascript / Typescript / React / Angular / Vue
Fuzzy filtering and string similarity scoring - compatible with fuzzaldrin
nats-core library - this library implements all the base functionality for NATS javascript clients
Yet another javascript fuzzy matching library
Map over promises serially
Fast and tiny fuzzy-search utility
Measures patterns of attribute values associated with features. Reveals whether similar values tend to occur near each other, or whether high or low values are interspersed
GraphQL-Markdown core package for generating Markdown documentation from a GraphQL schema.
Babel compiler core.
Is this specifier a node.js core module?
Type safe SQL query builder
tldts core primitives (internal module)
Standard library
The `util.is*` functions introduced in Node v0.12.
Tool that easily and quickly add Google ReCaptcha for your website or application
Perseus score
A high-level API to automate web browsers
Logic for prioritizing MIME types
Accessibility engine for automated Web UI testing
An engine that contains the core models and controllers for credit scoring.
Common core domain learning path generation based on standardized test scores
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.
# Studio Game Studio Game is a Ruby-based project that demonstrates object-oriented programming concepts. It includes classes and modules to manage players, games, and scoring. ## Project Structure - `lib/`: Contains the core Ruby files for the game logic. - `game.rb`: Defines the main game class. - `player.rb`: Manages player attributes and behaviors. - `treasure_trove.rb`: Handles treasures and their values. - `bin/`: Contains executable scripts to run the game. - `studio_game`: The main entry point to start the game. - `spec/`: Contains unit tests for the game. - `game_spec.rb`: Tests for the game class. - `player_spec.rb`: Tests for the player class. - `README.md`: Project documentation. - `LICENSE`: MIT License file. ## How to Run 1. Clone the repository. 2. Navigate to the `studio_game` directory. 3. Run the game using: ```bash ruby bin/studio_game ``` ## Testing To ensure the game logic works as expected, run the unit tests included in the `spec/` directory. Use the following command: ```bash rspec spec/ ``` This will execute all the test files and display the results in the terminal.
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