Project
Reverse Dependencies for yard
The projects listed here declare yard as a runtime or development dependency
0.0
Expressive, all-in-one match API for Kleisli Either monads
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Activity
0.0
Drys up serialized returns by passing in object, serializer, and an options hash
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Activity
0.0
A Ruby gem to introduce RSpec helpers which can help you DRY up your specs
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Activity
0.0
this is a gem that is used for testing purposes only - do not install it, do not use it
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Activity
0.0
The Tuple type implementation for Dry::Types.
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0.0
A hybrid Ruby/Rust validation gem that compiles a documented subset of
dry-validation's declarative schema DSL into a native Rust execution plan
while retaining Ruby rule blocks and Ruby-owned dynamic behavior.
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Activity
0.0
Provides MinHeap, MaxHeap, PriorityQueue, Deque, Trie, UnionFind, and LinkedList — data structures commonly needed for coding interviews but missing from Ruby's stdlib.
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Activity
0.0
Easy multi-level DSLs, built on top of Docile
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Activity
DTF is a modular testing framework skeleton. This is the control gem containing the db schema(s) and command-line script.
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Activity
0.0
DTF gem integrating RVM into DTF
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Activity
0.0
dtf-session adds Bash session support to DTF
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Activity
0.0
Data type testing tool
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Activity
0.0
A data pipeline and ETL framework for ruby.
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Activity
0.0
Allows ductr to interact with PostgreSQL DMBS.
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Activity
0.0
Allows ductr to interact with SQLite DMBS.
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Activity
0.0
A general-purpose utility library for Ruby
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Activity
0.0
Generate a dummy image file for development
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0.0
Provides an easy way to manage a huge amount of domain specific string2value conversions. Mostly useful to convert legacy CSV-Fields from strings with domain specific rules
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0.0
A complete, production-ready Ruby implementation of the HuggingFace Hub client library.
Download models, datasets, and manage repositories with zero Python dependencies.
Features smart caching, authentication, progress tracking, and comprehensive error handling.
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Activity
0.0
Durable-LLM is a unified interface for interacting with multiple Large Language Model APIs, simplifying integration of AI capabilities into Ruby applications.
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