https://github.com/wbadart/hdsk
Unified data science toolkit for Haskell and more
https://github.com/wbadart/hdsk
data-science tooling
Last synced: about 1 year ago
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Unified data science toolkit for Haskell and more
- Host: GitHub
- URL: https://github.com/wbadart/hdsk
- Owner: wbadart
- License: bsd-3-clause
- Created: 2018-07-25T20:24:59.000Z (almost 8 years ago)
- Default Branch: master
- Last Pushed: 2018-11-29T00:08:38.000Z (over 7 years ago)
- Last Synced: 2025-02-16T14:57:49.192Z (over 1 year ago)
- Topics: data-science, tooling
- Language: Haskell
- Homepage:
- Size: 647 KB
- Stars: 1
- Watchers: 3
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- Changelog: CHANGELOG.md
- License: LICENSE
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README
# Haskell Data Science Kit
[![Build status][build status]](https://travis-ci.org/wbadart/hdsk)
[![License][license badge]][11]
The Haskell Data Science Kit (*HDSK*) project is an attempt to create a
well-documented, well-tested, and performant data science library implemented
in the Haskell language.
Sources suggest that in spite of huge potential for performance gains over
current de facto methods [[1]], adoption of Haskell in the data science
community lags for a variety of reasons, the greatest of which seems to be the
dearth [[2]] of easy-to-use data science libraries (indeed, searching for
"*data science*" on GitHub yields **14** Haskell-language repositories and
**5,807** Python-language repositories [[3]]). This project seeks to mediate
that issue by presenting a *unified* (though modular) library of data science
utilities which support the entire life-cycle of a data science project.
**Disclaimer:** At the time of writing, I am still a beginner in Haskell, and
this project is as much about the above stated goal as it is about me learning
and practicing Haskell itself and the software development ecosystem around it.
So, I make no guarantees that I will give the most optimal or idiomatic
solution to any given function (and in cases when I don't, pull requests are
gladly welcomed!).
[1]: https://izbicki.me/blog/hlearn-cross-validates-400x-faster-than-weka
[2]: https://www.linkedin.com/pulse/haskell-data-science-good-bad-ugly-tom-hutchins
[3]: https://github.com/search?q=data+science+language%3AHaskell&type=Repositories
## Installation
To use HDSK within your **stack** project, you must add this repository to the
`extra-deps` list in `stack.yaml`. NOTE: this step will change once HDSK is
released on Hackage.
extra-deps:
- git: git@github.com:wbadart/hdsk.git
commit: a52bed4216f607628e71594256dafd550ffe2d3e
The commit hash listed above is the most recent commit at the time of this writing.
Be sure that the value you use is a recent enough to contain the features you
need.
The cabal file generated by stack has been checked in, so if you aren't using
stack, and are only using cabal, the library can be installed from a fresh clone
of the repository.
## Usage
Please see [willbadart.com/hdsk](https://willbadart.com/hdsk) for library documentation.
Further project info, such as planned features, is made available on the
[wiki](https://github.com/wbadart/hdsk/wiki).
## License
You'll notice a key theme in this document has been **promoting adoption.** As
such, I'm developing and eventually releasing this project under the
BSD-3-Clause [[11]] license, due to its general permissiveness. This is also
one of the more popular licenses among the Haskell community [[12]].
Please see [LICENSE](./LICENSE) for the full text.
[11]: https://opensource.org/licenses/BSD-3-Clause
[12]: https://wiki.haskell.org/How_to_write_a_Haskell_program
[build status]: https://travis-ci.org/wbadart/hdsk.svg?branch=master
[license badge]: https://img.shields.io/badge/license-BSD3-blue.svg