Browse Documentation

github.com/protoncr/tl_parser

Type Language parser for Crystal

github.com/Crystal-Matter/tlv

Matter TLV encoder/decoder

github.com/mmacia/tmdb.cr

Crystal wrapper for The Movie DB (TMDb)

github.com/marceloboeira/tmpdir.cr

🐵 Monkey Patch for tmp dir creation on Crystal standard library

github.com/Green-Edge/tmpdir.cr

🐵 Monkey Patch for tmp dir creation on Crystal standard library

github.com/raj/tmxparser.cr

a tilemap tmx parser in crystal

github.com/Nephos/todo

track your todo lists in your terminal

github.com/Papierkorb/toka

A type-safe, object-oriented option parser using the mapping-pattern

github.com/kojix2/tokei-api

github.com/johnjansen/tokenizer

A string tokenizer in Crystal-Lang

github.com/spider-gazelle/tokenizer

Simplified binary stream tokenization for crystal lang

github.com/tbrand/tokoroten

Using multiple processes in Crystal

github.com/axentro/tokoroten

Using multiple processes in Crystal

github.com/laktosterror/tolk

Tiny message bridge written in Crystal

github.com/tamdaz/tom.cr

The versatile VCR OSD-like font on the terminal

github.com/crystal-community/toml.cr

TOML parser for Crystal

github.com/aloli-crystal/toml

TOML v1.0 parser and serializer for Crystal, with comment-and-format preservation across parse → modify → write round-trips. Drop-in replacement for crystal-community/TOML.cr (same TOML.parse_to_hash surface), plus a richer Document AST API for in-place edits that keep the original byte-identical formatting.

github.com/maiha/toml-config.cr

TOML::Config class for handy use of crystal-toml

github.com/claudiosv/toodlemoodle

A simple CLI tool 🔨 for analyzing and attacking Moodle installations for pentesters 🔪using various publicly available exploits. Developed using Crystal 💎, the fast, natively compiled Ruby lookalike.

github.com/mamantoha/toon-crystal

Token-Oriented Object Notation - a token-efficient JSON alternative for LLM prompts. TOON is a compact, human-readable format designed for passing structured data to Large Language Models with significantly reduced token usage.