Skip to main content

Compositional data analysis tools and visualizations

Project description

# gneiss

[![Build Status](https://travis-ci.org/biocore/gneiss.png?branch=master)](https://travis-ci.org/biocore/gneiss) [![Coverage Status](https://coveralls.io/repos/biocore/gneiss/badge.svg)](https://coveralls.io/r/biocore/gneiss)

Canonically pronouced nice

A compositional statistics and visualization toolbox

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

gneiss-0.0.2.tar.gz (5.9 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

gneiss-0.0.2-py3-none-any.whl (7.4 kB view details)

Uploaded Python 3

File details

Details for the file gneiss-0.0.2.tar.gz.

File metadata

  • Download URL: gneiss-0.0.2.tar.gz
  • Upload date:
  • Size: 5.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No

File hashes

Hashes for gneiss-0.0.2.tar.gz
Algorithm Hash digest
SHA256 e15e3dc70705ab42834d826d8c1bea2824fa6e1445a9490a0315daaaf4d23341
MD5 95703efada0ab181ec78c95c0f0633b1
BLAKE2b-256 d7ecdab2c816aa2ba659a40fb66db8e516515597c5384fcb855b7d7491f47932

See more details on using hashes here.

File details

Details for the file gneiss-0.0.2-py3-none-any.whl.

File metadata

File hashes

Hashes for gneiss-0.0.2-py3-none-any.whl
Algorithm Hash digest
SHA256 0b6203c2c49d9183069b5a3ba09232e620f548260e6a15d0d382bc4fbf67b500
MD5 aa046b4e3b060cd71ec250a3bed15652
BLAKE2b-256 fb016760f82db42a61149de1ad7df762f5b3349b8e9074d0f83291e603ec5300

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page