Project

Reverse Dependencies for awesome_print

The projects listed here declare awesome_print as a runtime or development dependency

0.09
Repository is archived
No commit activity in last 3 years
No release in over 3 years
The simplest way to configure and deploy an Elastic Beanstalk application via rake.
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0.09
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There's a lot of open issues
A gem with tools for machine learning.
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0.09
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Ruby wrapper to Riot Games API. Maps results to full blown ruby objects.
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0.09
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Provides a simple and intuitive interface for the Movie Database API making use of OpenStruct.
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0.09
No release in over 3 years
Low commit activity in last 3 years
There's a lot of open issues
Toggl v8 API wrapper (See https://github.com/toggl/toggl_api_docs)
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0.08
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Enhance rails console by using awesome_print, pry and several pry plugins. And useful prompt tweaks. Makes rails console awesome by default.
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0.08
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The bridge between Calabash iOS and Xcode command-line tools like instruments and simctl.
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There's a lot of open issues
A suite for basic and advanced statistics on Ruby. Tested on CRuby 1.9.3, 2.0.0 and 2.1.1. See `.travis.yml` for more information. Include: - Descriptive statistics: frequencies, median, mean, standard error, skew, kurtosis (and many others). - Correlations: Pearson's r, Spearman's rank correlation (rho), point biserial, tau a, tau b and gamma. Tetrachoric and Polychoric correlation provides by statsample-bivariate-extension gem. - Intra-class correlation - Anova: generic and vector-based One-way ANOVA and Two-way ANOVA, with contrasts for One-way ANOVA. - Tests: F, T, Levene, U-Mannwhitney. - Regression: Simple, Multiple (OLS), Probit and Logit - Factorial Analysis: Extraction (PCA and Principal Axis), Rotation (Varimax, Equimax, Quartimax) and Parallel Analysis and Velicer's MAP test, for estimation of number of factors. - Reliability analysis for simple scale and a DSL to easily analyze multiple scales using factor analysis and correlations, if you want it. - Dominance Analysis, with multivariate dependent and bootstrap (Azen & Budescu) - Sample calculation related formulas - Structural Equation Modeling (SEM), using R libraries +sem+ and +OpenMx+ - Creates reports on text, html and rtf, using ReportBuilder gem - Graphics: Histogram, Boxplot and Scatterplot.
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0.08
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Select test cases to run based on changes in committed code
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0.07
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Enables static websites deployment to Amazon S3 website buckets using Capistrano.
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0.07
A long-lived project that still receives updates
A interactive command line tool for evaluating and debugging the puppet language
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0.07
No release in over 3 years
Low commit activity in last 3 years
There's a lot of open issues
Retrofits and generates valid puppet rspec test code to existing modules
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0.07
Low commit activity in last 3 years
A long-lived project that still receives updates
Debuggers are great! They help us troubleshoot complicated programming problems by inspecting values produced by code, line by line. They are invaluable when trying to understand what is going on in a large application composed of thousands or millions of lines of code. In day-to-day test-driven development and simple debugging though, a puts statement can be a lot quicker in revealing what is going on than halting execution completely just to inspect a single value or a few. This is certainly true when writing the simplest possible code that could possibly work, and running a test every few seconds or minutes. Problem is you need to locate puts statements in large output logs, know which file names, line numbers, classes, and methods contained the puts statements, find out what variable names are being printed, and see nicely formatted output. Enter puts_debuggerer. A guilt-free puts debugging Ruby gem FTW that prints file names, line numbers, class names, method names, and code statements; and formats output nicely courtesy of awesome_print. Partially inspired by this blog post: https://tenderlovemaking.com/2016/02/05/i-am-a-puts-debuggerer.html (Credit to Tenderlove.)
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