Project
Reverse Dependencies for minitest
The projects listed here declare minitest as a runtime or development dependency
0.0
Towel collects test results as they run, reporting them to towel.dev for easier
inspection, debugging, and sharing.
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Activity
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Towel collects test results as they run, reporting them to towel.dev for easier
inspection, debugging, and sharing.
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Activity
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BIP BOP
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Activity
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A toy robot that rules a 5x5 board.
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A set of methods to more conveniently access the Tozny authentication API as a RP of Tozny from Ruby
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Activity
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A simple framework for writing task worker processes
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Trace the whole chain of method calls.
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Print TracePoint(:b_call, :b_return, :c_call, :c_return, :call, :return, :class, :end, :thread_begin, :thread_end) in tree view, to console or html
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Activity
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Wrap the methods of a class or module to output call info.
See a tree of calls made to wrapped methods with argument values and return
values.
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Activity
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Rails engine to track and redirect url
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Activity
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A simple rack app that acts as an Activity Web Hook endpoint to Pivotal Tracker and forwards activity to any number of other endpoints, allowing you to have multiple Tracker Activity Web Hooks for any project
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track_relay eliminates dual event vocabularies between marketing and product
analytics in Rails apps. Define events once in a Ruby DSL catalog, then dispatch
them through ActiveSupport::Notifications to multiple destinations (GA4, Ahoy,
your own subscribers) with shared payload validation and a single tracking call.
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Simple queue helpers for Ride.
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Activity
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BPMN-compliant workflows or state machines. Used in Trailblazer's Operation to implement the Railway.
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Activity
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Endpoints handle authentication, policies, run your domain operation and prepare rendering.
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Activity
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Use Trailblazer 2.0 and 2.1 in one application
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Activity
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Provides a client to interact with the TrailerVote API
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Activity
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Fixtures for TrailerVote media types, api calls, and so forth
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Activity
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Holds the defined media types for the TrailerVote ecosystem
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Activity
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Training loop, LoRA, and optimization utilities for fine-tuning HuggingFace transformer models using torch-rb and transformers-rb. Supports full fine-tuning, LoRA adapters, learning rate scheduling, callbacks, and model serialization via safetensors.
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