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ihaskell: A Haskell backend kernel for the Jupyter project.

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IHaskell is a Haskell backend kernel for the Jupyter project. This allows using Haskell via a console or notebook interface. Additional packages may be installed to provide richer data visualizations.

Flags

Manual Flags

NameDescriptionDefault
use-hlint

Include HLint support

Enabled

Use -f <flag> to enable a flag, or -f -<flag> to disable that flag. More info

Downloads

Maintainer's Corner

Package maintainers

For package maintainers and hackage trustees

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Versions [RSS] 0.2.0.0, 0.2.0.1, 0.2.0.2, 0.2.0.3, 0.2.0.4, 0.2.0.5, 0.3.0.0, 0.3.0.1, 0.3.0.2, 0.3.0.3, 0.3.0.4, 0.4.0.0, 0.4.1.0, 0.4.2.0, 0.4.3.0, 0.5.0.0, 0.6.0.0, 0.6.1.0, 0.6.2.0, 0.6.3.0, 0.6.4.0, 0.6.4.1, 0.6.5.0, 0.7.0.0, 0.7.0.1, 0.7.0.2, 0.7.0.3, 0.7.1.0, 0.8.0.0, 0.8.2.0, 0.8.3.0, 0.8.4.0, 0.9.0.0, 0.9.0.1, 0.9.0.2, 0.9.0.3, 0.9.1.0, 0.10.0.0, 0.10.0.1, 0.10.0.2, 0.10.1.0, 0.10.1.1, 0.10.1.2, 0.10.2.0, 0.10.2.1, 0.10.2.2, 0.10.3.0, 0.10.4.0, 0.11.0.0, 0.12.0.0 (info)
Dependencies aeson (>=1.0), base (>=4.9 && <5), base64-bytestring (>=1.0), binary, bytestring, cmdargs (>=0.10), containers, directory, exceptions, filepath, ghc (>=8.4 && <9.11), ghc-boot, ghc-parser (>=0.2.1), ghc-paths (>=0.1), ghc-syntax-highlighter, haskeline, haskell-src-exts (>=1.18), hlint (>=1.9), http-client (>=0.4), http-client-tls (>=0.2), ihaskell, ipython-kernel (>=0.11.0.0), parsec, process, random, shelly (>=1.5), split (>=0.2), stm, strict (>=0.3), text, time, transformers, unix, unordered-containers, utf8-string, vector [details]
License MIT
Author Andrew Gibiansky
Maintainer andrew.gibiansky@gmail.com
Category Development
Home page http://github.com/gibiansky/IHaskell
Source repo head: git clone git://github.com/gibiansky/IHaskell.git
Uploaded by VaibhavSagar at 2024-11-03T00:16:29Z
Distributions Arch:0.12.0.0, LTSHaskell:0.12.0.0, NixOS:0.11.0.0
Reverse Dependencies 19 direct, 0 indirect [details]
Executables ihaskell
Downloads 33952 total (168 in the last 30 days)
Rating 2.5 (votes: 3) [estimated by Bayesian average]
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Status Docs uploaded by user
Build status unknown [no reports yet]