Give me an English word and I'll give you a list of rhymes
checks if two words rhymes in spanish and more.
Pull great rhymes from RhymeZone and B-Rhymes. Includes near rhymes.
Unix Command Line Utility For Finding Rhymes
Word Rhymes is a simple tool for getting word rhymes. It returns a list of rhyming words.
Show rhymes from RhymeZone and B-Rhymes in Alfred. Includes near rhymes.
It rhymes with jax-rs
A webservice that dishes out [rhymes](https://npm.im/rhymes)
nlp_compromise plugin for finding rhymes
MCP server for finding Czech rhymes using rymovac.cz API
Counts syllables and rhymes words.
Finds rhymes, including loose rhymes
MCP server for finding German rhymes using double-rhyme.com API
Find perfect rhymes, alliterations, and end rhymes. Uses a much larger phoneme list than the standard cmudict that was built using g2p-seq2seq and the CMU Sphinx neural net. The words it was trained on were pulled from every rap lyric ever.
A JavaScript сlass for finding rhymes to words.
Finds rhymes using a phonetic dictionary.
Offline-first MCP server for multilingual dictionary lookups across 4,755 languages — definitions, synonyms, antonyms, hypernyms, hyponyms, meronyms, translations, etymology, semantic neighbors, rhymes, and more. Bundles ConceptNet 5.7, Wiktextract, Numbe
Determine if two words rhyme
Ｄｏｗｎｌｏａｄ ｅｂｏｏｋ ｐｄｆ ｍｏｂｉ ｅｐｕｂ Roald Dahl Revolting Rhymes (Colour Edition) is available now
A TypeScript wrapper for the WordsAPI that provides easy access to word-related data such as definitions, pronunciations, rhymes, frequencies, and more.
MCP server for word synonyms, rhymes, and language tools via Datamuse
Give me an English word and I'll give you a list of alliterations and rhymes
A Node.js library to find rhymes and count syllables from a CMU-style phoneme dictionary in ARPABET or IPA formats.
MCP server for Datamuse — rhymes, synonyms, related words, homophones, autocomplete, word metadata
A crate for representing and generating different types of rhymes.
A fast, phoneme-aware rhyme, alliteration, and assonance finder for the command line.
Phonetic analysis engine for English. Rhyme detection, stress scanning, meter analysis, and syllable counting with a 126K-word embedded dictionary.
Rappin is a terminal-native writing assistant for lyrical drafting. It pairs a minimal editor with rhyme suggestions, stanza planning, and metrical feedback so you can keep the flow going without leaving the keyboard.
Uses the CMU Pronunciation Dictionary to determine if two words rhyme
talking to a wall, a piecemeal natural language processing library
Tamil prosody analyzer and classifier for verse compositions
Mechanistic interpretability for language models in Rust, built on candle
A wrapper library for the Datamuse api
Syllabize Spanish text, and much more
Poetic trie crafted with intetion to ease searching of rhymes for poems.
Spectral graph theory applied to metrical patterns across languages
Lookup perfect and identical rhymes
A gem for rhyming words and counting syllables on phrases
uses RhymeBrain api to find rhymes and portmanteaus
Create poems from an input text file, by generating and querying a SQLite or PostgreSQL database describing each line. Poems are created using a template to select lines from the database, according to closing rhyme, syllable count, and regex matching.
Analyze japanese text, rating good rhyme. Rating is using Ngram and Lebenstein.
My first API wrapper, working with the RhymeBrain.com API
And it rhymes with...
Words API lets you retrieve information about English words, including definitions, synonyms, rhymes, pronunciation, syllables, and frequency of usage. It also can tell you about relationships between words, for instance that “math” has categories like “algebra” and “geometry”, or that a “finger” is part of a “hand”.
Poetize analyses your poem and gives you several statistics about it such as: verse rhythm, verse metrics, rhymes, gramatical and poetical hyphenization, etc
Spectie (rhymes with "necktie") is a pure Ruby acceptance testing framework for RSpec. The philosophy of Spectie is that, since the business stakeholders on most projects don't care about exactly how you test, you're free to write the acceptance tests on a project how *you*, the developer, need to in order to ensure that the implementation is correct, easily understood, and maintainable. Furthermore, since you're a developer, the easiest, most straight-forward and maintainable way for you to write your tests is by using the highly expressive language that you're already coding in for the project; that's Ruby, baby!
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