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Generate strings supplying a simple pattern. Perfect to be used in test data factories. Validate if a text fulfills a specific pattern. Also you can use regular expressions (Regexp) to generate strings: `/[a-z0-9]{2,5}\w+/.gen`. Generate words in English or Spanish.
Generate, encode, and decode UUIDs v1 with fast or cryptographic-quality random node identifier.
Quantum randomness source using the ANU hardware QRNG
A terrible terrible soft-keyboard that randomises keys on every press.
Generate random strings for IDs or keys using property annotations
Mathpaqs: a collection of mathematical packages in pure Ada
👨💻 Update a pinned gist to contain random IDE shortcut
ASCII Robot Generator in V
This is my Random Dungeon Generator that is compatible with Game Maker Studio 2.3
🌧Update a pinned gist to contain a random hitokoto
Implementation of the Rendezvous or Highest Random Weight (HRW) hashing algorithm in the Elixir Programming Language
A Deterministic Random Bit Generator based on AES in Counter mode (AES-CTR-DRBG) as specified in NIST SP 800-90A written in Go.
Contingency Random Number Generator — numbers with controllable fat tails, volatility clustering, and scale convergence
Cold storage that queries like hot storage. High-ratio JSONL compressor with block-level random access. Query cold storage in seconds — no restore, no full decompression. 5–13% ratio on JSONL logs, 25–57% smaller than gzip. 1-hour window via DuckDB in under 6s. Free for personal and open-source use.
Single Image Random Dot Stereogram for Tensorflow
RASEL (Random Access Stack Esoteric Language) reference implementation
A robust, highly configurable, dependency-free random quote provider, capable of lazy-loading quotes on demand and supports custom quote tables and filters
Random food recipe widget for iOS scriptable
Elixir weighted random pick library optimised for quick take_one and take_n operations
Random User-Agent generator for Common Lisp
Minimalist abstract generative art.
A Elixir module to generate a random string based on a given string pattern.
Comparing the performance of Stacked Ensemble Learning & machine learning algorithms like Random Forest, Decision Tree, Adaboost, Gradient Boost and XGBoost Classifier in Python for Stock Market Trend Prediction.