Haggressive alternatives and similar packages
Based on the "Web" category.
Alternatively, view Haggressive alternatives based on common mentions on social networks and blogs.
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swagger-petstore
swagger-codegen contains a template-driven engine to generate documentation, API clients and server stubs in different languages by parsing your OpenAPI / Swagger definition. -
haskell-bitmex-rest
swagger-codegen contains a template-driven engine to generate documentation, API clients and server stubs in different languages by parsing your OpenAPI / Swagger definition. -
scotty
Haskell web framework inspired by Ruby's Sinatra, using WAI and Warp (Official Repository) -
servant
Main repository for the servant libraries -- DSL for describing, serving, querying, mocking, documenting web applications and more! -
yesod-persistent
A RESTful Haskell web framework built on WAI. -
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haskell-kubernetes
Haskell bindings to the Kubernetes API (via swagger-codegen) -
apecs-gloss
a fast, type driven, extensible ECS for game development -
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airship
Helium + Webmachine = Airship. A toolkit for building declarative, RESTful web apps. -
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servant-elm
Automatically derive Elm functions to query servant webservices -
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tagsoup
Haskell library for parsing and extracting information from (possibly malformed) HTML/XML documents -
digestive-functors
A general way to consume input using applicative functors -
hbro
[Unmaintained] A minimal web-browser written and configured in Haskell. -
android-lint-summary
Prettier display of Android Lint issues -
keera-hails-reactive-htmldom
Keera Hails: Haskell on Rails - Reactive Programming Framework for Interactive Haskell applications -
ghcjs-base
base library for GHCJS for JavaScript interaction and marshalling, used by higher level libraries like JSC -
kubernetes-client-core
Haskell client for the kubernetes API. A work in progress. -
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backprop
Heterogeneous automatic differentiation ("backpropagation") in Haskell -
engine-io
A Haskell server implementation of the Engine.IO and Socket.IO (1.0) protocols -
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They vary from L1 to L5 with "L5" being the highest.
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README
Tweet classifier in Haskell
Idea
Tweets on Twitter may contain aggressive content. Haggressive is a supervised k-Nearest Neighbor machine learning classifier that distinguishes aggressive and non-aggressive tweets. It uses a bag-of-unigram approach for extracting features. The empirical evaluation of the approach has yielded an average accuracy of 68.57 % of k = 10. See report_haggressive.pdf for the accompanying report.
Usage
Run it with cabal and specify the directory for the dataset. The
actual main file is in src-lib/Hag.hs.