Project
Reverse Dependencies for rbs
The projects listed here declare rbs as a runtime or development dependency
0.0
Ruby gem providing a SearXNG HTTP client, CLI (search), and MCP server for web search. Integrates with Cursor IDE via Model Context Protocol.
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Activity
0.0
SecretSweep scans a codebase (and optionally its full git history) for
leaked secrets — API keys, tokens, private keys — using a combination
of known-format regex patterns and Shannon entropy analysis for
unknown formats. Pure Ruby standard library, zero runtime dependencies.
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Extension for ActiveRecord to organize seeds in a directory and generate them as migrations
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Activity
0.0
Semantic differences for Ruby code changes
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0.0
An AI-powered pair programmer. Provides a user-friendly interface for using AI API's to
automatically repair broken code and suggest improvements. Simply provide the faulty code as input, and the gem will
generate a corrected version using advanced machine learning techniques.
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0.0
Web UI for Servactory
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Activity
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Change your API behaviour without breaking everything
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A simple gem checking for ssl expiry.
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A UK property stamp duty calculator
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0.0
Ruby gem providing status page information from awesome-status via MCP server tools.
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Activity
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Gradual Typing for Ruby
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Gradual Typing for Ruby
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A structured approach to composing DSL modules for Ruby libraries with optional extension hooks
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Provides component-scoped CSS encapsulation using [data-capsule] attributes for Phlex components, ViewComponent components, and ERB templates. Styles are automatically scoped to prevent leakage between components. Inspired by component-based CSS approaches like Angular's view encapsulation and CSS modules. Works with Rails and can be used standalone in other Ruby frameworks (Sinatra, Hanami, etc.) or plain Ruby scripts.
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simple and extensible test library toolkit
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Ruby client for the Timely API
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Provenance analysis of Chinese text in pure Ruby: MOE character-chart tiering, OpenCC-derived simplified round-trip detection, mainland traditional orthography, corpus-verified lexical origin markers graded by attestation ratio, Cantonese particles, erhua windowing, literary Chinese density, and positive Taiwan evidence over lexicon, particles, institutions and the 有 + V perfective. Punctuation normalization to 教育部《重訂標點符號手冊》 and sentence segmentation over terminator-closer classes. Every rejection is reported as a typed finding. No dependencies, no native extensions, deterministic output.
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Nine JSONL stages from a raw web crawl to dispersion-corrected frequency and n-gram tables: source gating, Taiwan-standard punctuation normalization, sentence segmentation, character-inventory and lexical-origin filtering, block-level evidence judgment, type deduplication, Viterbi word segmentation and external-sort counting. Resource-bounded by declared cores and memory.
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All the flexibility of a Ruby Struct, but with type checking on its properties. Also benefit from being able to define complex types using RBS type notation.
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Validate YARD and RBS type signatures
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