Fuzzy filtering and string similarity scoring - compatible with fuzzaldrin
Detect LLM writing patterns in your text — score and highlight AI tropes before you publish
Yet another javascript fuzzy matching library
Map over promises serially
A JavaScript string-scoring and fuzzy-matching library based on the Quicksilver algorithm, designed for smart auto-complete.
Fast and tiny fuzzy-search utility
Measure the churn/complexity score. Higher values mean hotspots where refactorings should happen.
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
javascript port of vader sentiment tool
Type safe SQL query builder
npm package includes TypeScript and is designed to calculate various statistics from text in order to determine the readability, complexity, and grade level of a given corpus.
Perseus score
Logic for prioritizing MIME types
A library for approximate string matching.
A CLI and library which tests helps score how vulnerable a regex pattern is to ReDoS attacks. Supported in the browser, Node and Deno.
A simple webpack plugin to support dotenv.
Text for big five results score
A fast fuzzy string set for JavaScript
Configurable BM25 Text Search Engine with simple semantic search support
Convert JSON or JavaScript objects into clean, human-readable plain text format.
micro webservice that evaluates bigfive questions
A fast fuzzy string set for JavaScript
Tests if ES6 Symbol is supported.
Scores RDF/JS terms inside a dataset
Language Detection API Client
Determines a simple sentiment score for a given text
Odyssey is an extendable text analysis gem that outputs the readability score of text. It has several of the common readability formulas available, but defaults to the Flesch-Kincaid Reading Ease score.
RelevantChunks provides intelligent text chunking with smart boundaries and overlap, plus relevance scoring using Claude/Anthropic's AI models.
fzy is a fast fuzzy text selector with an advanced scoring algorithm
This gem makes it easy for developers to hand a body of text to spam assassin and ask get it's spam score, spam report etc. Supports the full Spamc protocol.
README This is a text based game with several players. The players have a name and a health and they get points determined by the roll of a die and finding treasure. At the end of the game, all scores are totalized and the highest scores and other data feedback are printed out.
Native Ruby bindings for the Lingua Rust library, bringing highly accurate language detection for short text and mixed-language text to Ruby, with confidence scores and ISO 639-1/639-3 language codes.
Scores text 0-100 for AI writing patterns using 28 pattern detectors, 500+ vocabulary terms, and statistical text analysis. Ruby port of the humanizer Node.js tool.
This Ruby gem leverages Machine Learning(ML) techniques to make predictions(forecasts) and classifications in various applications. It provides capabilities such as predicting next month's billing, forecasting upcoming sales orders, identifying patient's potential findings(like Diabetes), determining user approval status, classifying text, generating similarity scores, and making recommendations. It uses Python3 under the hood, powered by popular machine learning techniques including NLP(Natural Language Processing), Decision Tree, K-Nearest Neighbors and Logistic Regression, Random Forest and Linear Regression algorithms.
Studio Game is a simple text-based, fully random game. To install the gem, run `gem install pragma_studio_game-1.0.0.gem`. To play, run `studio_game` and choose the number of rounds. The players will be loaded from the `bin/players.csv` file. If you want to load your own players, pass the path as an argument to the `studio_game. Players should be provided with their names and health value, comma separated. At the end of the game, high scores will be sorted and written to the `high_scores.txt` file. To quit any time, type in `quit` or `exit`. To uninstall the gem, run `gem uninstall studio_game`.
A simple text-based game that you can run from the command line. Runs a list of players (either those provided, or that you can provide via a '.csv' file that you then name as a command line argument when loading the program), through a series of 'rounds', the number of which you can choose as the game runs. Each player is 'w00ted', 'blammed', or 'skipped' and receives a treasure. High-scores are printed out to the console upon exiting the game. They are also saved to a file ('high_scores.txt') in the top-level folder of the application. Created while doing the Ruby Programming course from Pragmatic Studio.
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