Project

Reverse Dependencies for rspec

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

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Gem and CLI providing weather/forecast by zipcode. Weather is provided by scraping the OpenWeather website.
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WeatherForecaster accepts the city name Ex: London or city name followed by country code Ex: London, GB It can accept the number of days from the current day to get the weather details. It provides the weather information as follows. - City name which you are searching for. - Country code. - Latitude, Longitude. - Day and night temperature values in Kelvin. - Pressure and humidity - Weather Description. - Current Date Time.
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WeatherGem scrapes weather.com to retrieve forecast data for user speicfied zip codes. Avoid the ads and load times!
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Library for Livedoor Weather Web Service
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WeatherInsight acquire average data of past weather from goo.
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This gem gives a score to given coordinate's weather forecast. It uses Forecast.IO as data source.
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This is an unofficial implementation of the Davis Instruments WeatherLink API, including both the Local API (v1) and the web API (v2).
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Hi, you can look up your weather with your zipcode with this.
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Weatherman is for periodically collecting metrics and reporting them to CloudWatch
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A wrapper over GlobalWeather SOAP services
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WeatherPup is a CLI application built with Ruby that will fetch current weather condtions based on a US Zip Code or a GPS Coordinate pair. This utilizes data from AggData.org and OpenWeatherMap.org
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shows weather in spb
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A simple gem to get forecasts for locations.
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The project is in a healthy, maintained state
A Ruby SDK for accessing WeatherXu's weather data, including current conditions, forecasts, and historical weather data.
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Scrape a website as plain text.
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The project is in a healthy, maintained state
Library to convert WEBAMM definition to Ruby on Rails code
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Web Analytics Discovery is a library and command line tool to quickly get valuable web analytics insights for any given website (for example, number of unique visitors, number of pageviews per day or per month). It works by analyzing site pages, finding snippets of popular web analytics systems there, extracting their IDs and then automatically querying that systems for publically available data. The supported web analytics systems are: * Alexa * Google Analytics * LiveInternet * Mail.ru * Openstat * Quantcast * Rambler Top100 * Yandex Metrika
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