Project
Reverse Dependencies for csv
The projects listed here declare csv as a runtime or development dependency
0.05
A gem for Japan Post's official zipcode data search & update.
2019
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0.05
Apache Arrow is a common in-memory columnar data store. It's useful to share and process large data.
2019
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0.05
You can use datasets easily because you can access each dataset with multiple ways such as `#each` and Apache Arrow Record Batch.
2019
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0.04
Command line interface for IBM Aspera products
2019
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0.04
Converter utils that can be included as a gem or used from the command line
2019
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0.03
Control pandoc with Ruby and write pandoc filters in Ruby
2019
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0.03
Puppet, Inc. Release Metrics
2019
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0.02
Bayesian inference for Ruby, powered by CmdStan
2019
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0.02
A simple and streaming support CSV template engine for Ruby on Rails.
2019
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0.02
A simple and streaming support CSV template engine for Ruby on Rails.
2019
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0.02
Collection of geographic data for the United States for use with ActiveRecord
2019
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0.01
Parse public AIP (Aeronautical Information Publication) and convert the data
to either AIXM (Aeronautical Information Exchange Model) or OFMX (Open
FlightMaps eXchange).
2019
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0.01
Build Dynamic API Wrappers
2019
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0.01
This app extends active record to allow you to change the polymorphic type value in relationships.
It also extends active record batching functions to be able to order records while batching.
- As a bonus. the same 'split_batches' function is made available to Arrays
It also adds option...
2019
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0.01
A library for easily generating seed data in Ruby on Rails from .CSV files
2019
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0.01
Fluentd Parser plugin to parse XML rendered windows event log.
2019
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Client library to interface with Smarthome features of your FritzBox
2019
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0.01
Proper objects for CSV headers and rows, convert column values, filter columns and rows, small(-ish) perfomance overhead, no dependencies other than Ruby stdlib.
2019
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0.01
Encode and decode Italian tax code (Codice Fiscale)
2019
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0.01
Parse MODS (Metadata Object Description Schema) records. More information about MODS can be found at http://www.loc.gov/standards/mods/
2019
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