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karps: Haskell bindings for Spark Dataframes and Datasets

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Karps-Haskell is an exploration vehicle for developing safe, scalable and reliable data pipelines over Apache Spark, using the DataFrame API. In order to use it, you must launch Spark with the karps-server module installed.

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Versions [RSS] 0.1.9.0, 0.2.0.0
Dependencies aeson (>=0.11.2.1 && <0.12), aeson-pretty (>=0.8.2 && <0.9), base (>=4.8.1 && <5), base16-bytestring (>=0.1.1.6 && <0.2), binary (>=0.7 && <0.9), bytestring (>=0.10.8.1 && <0.11), containers (>=0.5.7.1 && <0.6), cryptohash-sha256 (>=0.11.100.1 && <0.12), deepseq (>=1.4.2.0 && <1.5), either (>=4.4.1.1 && <4.5), exceptions (>=0.8.3 && <0.9), formatting (>=6.2.4 && <6.3), hashable (>=1.2.4.0 && <1.3), lens (>=4.14 && <4.15), monad-logger (>=0.3.20.1 && <0.4), mtl (>=2.2.1 && <2.3), QuickCheck (>=2.8.2 && <2.9), random (>=1.1 && <1.2), scientific (>=0.3.4.9 && <0.4), semigroups (>=0.18.2 && <0.19), SHA (>=1.6.4.2 && <1.7), text (>=1.2.2.1 && <1.3), text-format (>=0.3.1.1 && <0.4), transformers (>=0.5.2.0 && <0.6), unordered-containers (>=0.2.7.1 && <0.3), vector (>=0.11.0.0 && <0.12), wreq (>=0.4.1.0 && <0.5) [details]
License Apache-2.0
Copyright 2016 Karps-Haskell contributors
Author krapsh
Maintainer krapsh@yandex.com
Category Web, Big data
Home page https://github.com/krapsh/kraps-haskell
Source repo head: git clone https://github.com/krapsh/kraps-haskell
Uploaded by krapsh at 2017-04-11T16:03:54Z
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Reverse Dependencies 1 direct, 0 indirect [details]
Downloads 1667 total (2 in the last 30 days)
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Status Docs available [build log]
Last success reported on 2017-04-11 [all 1 reports]