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hyppo

CircleCICodecovNetlifyPyPI - Python VersionPyPIarXivshieldAll Contributors

hyppo (HYPothesis Testing in PythOn, pronounced "Hippo") is an open-source software package for multivariate hypothesis testing. We decided to develop hyppo for the following reasons:

  • With the increase in the amount of data in many fields, hypothesis testing for high dimensional and nonlinear data is important
  • Libraries in R exist, but their interfaces are inconsistent and most are not available in Python

hyppo intends to be a comprehensive multivariate hypothesis testing package and runs on all major versions of operating systems. It also includes novel tests not found in other packages. It is quick to install and free of charge. If you need to use multivariate hypothesis testing, be sure to give hyppo a try!

Website: https://hyppo.neurodata.io/

Installation

Dependencies

hyppo requires the following:

User installation

The easiest way to install hyppo is using pip

pip install hyppo

To upgrade to a newer release use the --upgrade flag

pip install --upgrade hyppo

The documentation includes more detailed installation instructions. hyppo is free software; you can redistribute it and/or modify it under the terms of the license.

Release Notes

See the release notes for a history of notable changes to hyppo.

Development

We welcome new contributors of all experience levels. The hyppo community goals are to be helpful, welcoming, and effective. The contributor guide has detailed information about contributing code, documentation and tests.

Note: We have recently moved our benchmarks (with relevant figure replication code for our papers) folder to a new repo! We aim to add test development code and paper figure replication code there, and will add relevant tests (with tutorials) to hyppo.

Contributors

Thanks goes to these wonderful people (emoji key):


Sambit Panda
🐛💻📖🤔🚧👀
cshen6
🤔
joshua vogelstein
🔍🧑‍🏫🤔
Satish Palaniappan
💻🤔
Junhao Xiong
💻🤔
Eric Bridgeford
🐛🤔
Ronak D. Mehta
💻🤔

Jaewon Chung
🐛
Jayanta Dey
💻
Bijan Varjavand
💻
Benjamin Pedigo
🐛💻
alyakin314
💻🤔
Vivek Gopalakrishnan
💻
Ronan Perry
🐛💻🤔👀📖

Haoyin Xu
💻📖👀
Hadas Arik
💻
kareef928
💻
Verathagnus
💻
dlee0156
💻
Najmieh Sadat Safarabadi
📖
TacticalFallacy
💻

darsh-patel
💻
zdbzdb123123
💻

This project follows the all-contributors specification. Contributions of any kind are welcome!

Project History

hyppo is a rebranding of mgcpy, which was founded in Novemember 2018. mgcpy was designed and written by Satish Palaniappan, Sambit Panda, Junhao Xiong, Sandhya Ramachandran, and Ronak Mehtra. hyppo was designed and written by Sambit Panda and first released February 2020.

About

Python package for multivariate hypothesis testing

hyppo.neurodata.io/

Resources

Readme
MIT license

Contributing

Contributing
Activity

Stars

0 stars

Watchers

0 watching

Forks

0 forks
Report repository

Releases

Packages

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Add copy buttons to all 
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})();
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try {
var __m = "github.com";
var __re = new RegExp('^' + "github\\.com" + '

Skip to content
BranchesTags
Repository files navigation
hyppo
CircleCICodecovNetlifyPyPI - Python VersionPyPIarXivshieldAll Contributors
hyppo (HYPothesis Testing in PythOn, pronounced "Hippo") is an open-source software package for multivariate hypothesis testing. We decided to develop hyppo for the following reasons:
  • With the increase in the amount of data in many fields, hypothesis testing for high dimensional and nonlinear data is important
  • Libraries in R exist, but their interfaces are inconsistent and most are not available in Python
hyppo intends to be a comprehensive multivariate hypothesis testing package and runs on all major versions of operating systems. It also includes novel tests not found in other packages. It is quick to install and free of charge. If you need to use multivariate hypothesis testing, be sure to give hyppo a try!
Website: https://hyppo.neurodata.io/
Installation
Dependencies
hyppo requires the following:
User installation
The easiest way to install hyppo is using pip
pip install hyppo
To upgrade to a newer release use the --upgrade flag
pip install --upgrade hyppo
The documentation includes more detailed installation instructions.
hyppo is free software; you can redistribute it and/or modify it under the
terms of the license.
Release Notes
See the release notes
for a history of notable changes to hyppo.
Development
We welcome new contributors of all experience levels. The hyppo
community goals are to be helpful, welcoming, and effective. The
contributor guide
has detailed information about contributing code, documentation and tests.
Note: We have recently moved our benchmarks (with relevant figure replication code for our papers) folder to a new repo! We aim to add test development code and paper figure replication code there, and will add relevant tests (with tutorials) to hyppo.
Contributors
Thanks goes to these wonderful people (emoji key):

Sambit Panda
🐛💻📖🤔🚧👀
cshen6
🤔
joshua vogelstein
🔍🧑‍🏫🤔
Satish Palaniappan
💻🤔
Junhao Xiong
💻🤔
Eric Bridgeford
🐛🤔
Ronak D. Mehta
💻🤔

Jaewon Chung
🐛
Jayanta Dey
💻
Bijan Varjavand
💻
Benjamin Pedigo
🐛💻
alyakin314
💻🤔
Vivek Gopalakrishnan
💻
Ronan Perry
🐛💻🤔👀📖

Haoyin Xu
💻📖👀
Hadas Arik
💻
kareef928
💻
Verathagnus
💻
dlee0156
💻
Najmieh Sadat Safarabadi
📖
TacticalFallacy
💻

darsh-patel
💻
zdbzdb123123
💻
This project follows the all-contributors specification.
Contributions of any kind are welcome!
Project History
hyppo is a rebranding of mgcpy, which was founded in Novemember 2018.
mgcpy was designed and written by Satish Palaniappan, Sambit
Panda, Junhao Xiong, Sandhya Ramachandran, and Ronak Mehtra. hyppo
was designed and written by Sambit Panda and first released February 2020.
About
Python package for multivariate hypothesis testing
hyppo.neurodata.io/
Resources
Readme
MIT license
Contributing
Contributing
Activity
Stars
0 stars
Watchers
0 watching
Forks
0 forks
Report repository
Releases
Packages
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Force GitHub README to respect dark mode\n(function() {\n var style = document.createElement('style');\n style.textContent = '\n .markdown-body {\n color-scheme: dark light;\n }\n .markdown-body pre { background: #161b22 !important; }\n .markdown-body code { background: rgba(110, 118, 129, 0.4) !important; }\n .markdown-body table th, .markdown-body table td { border-color: #30363d !important; }\n .markdown-body img { background: #0d1117; }\n .markdown-body blockquote { border-left-color: #8b949e; }\n .markdown-body hr { border-color: #30363d; }\n ';\n document.head.appendChild(style);\n})();", "GitHub Dark Mode README Fix");
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})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

Skip to content
BranchesTags
Repository files navigation
hyppo
CircleCICodecovNetlifyPyPI - Python VersionPyPIarXivshieldAll Contributors
hyppo (HYPothesis Testing in PythOn, pronounced "Hippo") is an open-source software package for multivariate hypothesis testing. We decided to develop hyppo for the following reasons:
  • With the increase in the amount of data in many fields, hypothesis testing for high dimensional and nonlinear data is important
  • Libraries in R exist, but their interfaces are inconsistent and most are not available in Python
hyppo intends to be a comprehensive multivariate hypothesis testing package and runs on all major versions of operating systems. It also includes novel tests not found in other packages. It is quick to install and free of charge. If you need to use multivariate hypothesis testing, be sure to give hyppo a try!
Website: https://hyppo.neurodata.io/
Installation
Dependencies
hyppo requires the following:
User installation
The easiest way to install hyppo is using pip
pip install hyppo
To upgrade to a newer release use the --upgrade flag
pip install --upgrade hyppo
The documentation includes more detailed installation instructions.
hyppo is free software; you can redistribute it and/or modify it under the
terms of the license.
Release Notes
See the release notes
for a history of notable changes to hyppo.
Development
We welcome new contributors of all experience levels. The hyppo
community goals are to be helpful, welcoming, and effective. The
contributor guide
has detailed information about contributing code, documentation and tests.
Note: We have recently moved our benchmarks (with relevant figure replication code for our papers) folder to a new repo! We aim to add test development code and paper figure replication code there, and will add relevant tests (with tutorials) to hyppo.
Contributors
Thanks goes to these wonderful people (emoji key):

Sambit Panda
🐛💻📖🤔🚧👀
cshen6
🤔
joshua vogelstein
🔍🧑‍🏫🤔
Satish Palaniappan
💻🤔
Junhao Xiong
💻🤔
Eric Bridgeford
🐛🤔
Ronak D. Mehta
💻🤔

Jaewon Chung
🐛
Jayanta Dey
💻
Bijan Varjavand
💻
Benjamin Pedigo
🐛💻
alyakin314
💻🤔
Vivek Gopalakrishnan
💻
Ronan Perry
🐛💻🤔👀📖

Haoyin Xu
💻📖👀
Hadas Arik
💻
kareef928
💻
Verathagnus
💻
dlee0156
💻
Najmieh Sadat Safarabadi
📖
TacticalFallacy
💻

darsh-patel
💻
zdbzdb123123
💻
This project follows the all-contributors specification.
Contributions of any kind are welcome!
Project History
hyppo is a rebranding of mgcpy, which was founded in Novemember 2018.
mgcpy was designed and written by Satish Palaniappan, Sambit
Panda, Junhao Xiong, Sandhya Ramachandran, and Ronak Mehtra. hyppo
was designed and written by Sambit Panda and first released February 2020.
About
Python package for multivariate hypothesis testing
hyppo.neurodata.io/
Resources
Readme
MIT license
Contributing
Contributing
Activity
Stars
0 stars
Watchers
0 watching
Forks
0 forks
Report repository
Releases
Packages
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Highlight search terms from Google/DuckDuckGo/Bing referrer\n(function() {\n var ref = document.referrer;\n var terms = [];\n \n if (ref.includes('google.com') || ref.includes('duckduckgo.com') || ref.includes('bing.com')) {\n var url = new URL(ref);\n var q = url.searchParams.get('q') || url.searchParams.get('p');\n if (q) {\n terms = q.split(/\\s+/).filter(function(t) { return t.length > 2; });\n }\n }\n \n if (terms.length === 0) return;\n \n var style = document.createElement('style');\n style.textContent = '.userscript-highlight { background: #fbbf24; color: #1a1a2e; padding: 1px 3px; border-radius: 2px; }';\n document.head.appendChild(style);\n \n function highlight(node) {\n if (node.nodeType === 3) { // text node\n var text = node.textContent;\n var found = false;\n terms.forEach(function(term) {\n var regex = new RegExp('(' + term.replace(/[.*+?^${}()|[\\]\\\\]/g, '\\\\') + ')', 'gi');\n if (regex.test(text)) {\n found = true;\n var frag = document.createDocumentFragment();\n var parts = text.split(regex);\n parts.forEach(function(part, i) {\n if (i % 2 === 0) {\n frag.appendChild(document.createTextNode(part));\n } else {\n var span = document.createElement('span');\n span.className = 'userscript-highlight';\n span.textContent = part;\n frag.appendChild(span);\n }\n });\n node.parentNode.replaceChild(frag, node);\n }\n });\n } else if (node.nodeType === 1 && node.childNodes) { // element\n var skipTags = ['SCRIPT', 'STYLE', 'NOSCRIPT', 'TEXTAREA', 'INPUT', 'SELECT'];\n if (!skipTags.includes(node.tagName)) {\n Array.from(node.childNodes).forEach(highlight);\n }\n }\n }\n \n highlight(document.body);\n \n // Re-highlight on dynamic content\n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1 || node.nodeType === 3) highlight(node);\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Highlight Search Terms");
}
} catch(__e) { console.warn('[Userscript:Highlight Search Terms]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

Skip to content
BranchesTags
Repository files navigation
hyppo
CircleCICodecovNetlifyPyPI - Python VersionPyPIarXivshieldAll Contributors
hyppo (HYPothesis Testing in PythOn, pronounced "Hippo") is an open-source software package for multivariate hypothesis testing. We decided to develop hyppo for the following reasons:
  • With the increase in the amount of data in many fields, hypothesis testing for high dimensional and nonlinear data is important
  • Libraries in R exist, but their interfaces are inconsistent and most are not available in Python
hyppo intends to be a comprehensive multivariate hypothesis testing package and runs on all major versions of operating systems. It also includes novel tests not found in other packages. It is quick to install and free of charge. If you need to use multivariate hypothesis testing, be sure to give hyppo a try!
Website: https://hyppo.neurodata.io/
Installation
Dependencies
hyppo requires the following:
User installation
The easiest way to install hyppo is using pip
pip install hyppo
To upgrade to a newer release use the --upgrade flag
pip install --upgrade hyppo
The documentation includes more detailed installation instructions.
hyppo is free software; you can redistribute it and/or modify it under the
terms of the license.
Release Notes
See the release notes
for a history of notable changes to hyppo.
Development
We welcome new contributors of all experience levels. The hyppo
community goals are to be helpful, welcoming, and effective. The
contributor guide
has detailed information about contributing code, documentation and tests.
Note: We have recently moved our benchmarks (with relevant figure replication code for our papers) folder to a new repo! We aim to add test development code and paper figure replication code there, and will add relevant tests (with tutorials) to hyppo.
Contributors
Thanks goes to these wonderful people (emoji key):

Sambit Panda
🐛💻📖🤔🚧👀
cshen6
🤔
joshua vogelstein
🔍🧑‍🏫🤔
Satish Palaniappan
💻🤔
Junhao Xiong
💻🤔
Eric Bridgeford
🐛🤔
Ronak D. Mehta
💻🤔

Jaewon Chung
🐛
Jayanta Dey
💻
Bijan Varjavand
💻
Benjamin Pedigo
🐛💻
alyakin314
💻🤔
Vivek Gopalakrishnan
💻
Ronan Perry
🐛💻🤔👀📖

Haoyin Xu
💻📖👀
Hadas Arik
💻
kareef928
💻
Verathagnus
💻
dlee0156
💻
Najmieh Sadat Safarabadi
📖
TacticalFallacy
💻

darsh-patel
💻
zdbzdb123123
💻
This project follows the all-contributors specification.
Contributions of any kind are welcome!
Project History
hyppo is a rebranding of mgcpy, which was founded in Novemember 2018.
mgcpy was designed and written by Satish Palaniappan, Sambit
Panda, Junhao Xiong, Sandhya Ramachandran, and Ronak Mehtra. hyppo
was designed and written by Sambit Panda and first released February 2020.
About
Python package for multivariate hypothesis testing
hyppo.neurodata.io/
Resources
Readme
MIT license
Contributing
Contributing
Activity
Stars
0 stars
Watchers
0 watching
Forks
0 forks
Report repository
Releases
Packages
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Strip utm_, fbclid, gclid, etc. from all links on page\n(function() {\n var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content',\n 'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid',\n 'ref', 'ref_src', 'source', 'medium', 'campaign'];\n \n function cleanUrl(url) {\n try {\n var u = new URL(url, window.location.origin);\n var changed = false;\n trackingParams.forEach(function(p) {\n if (u.searchParams.has(p)) {\n u.searchParams.delete(p);\n changed = true;\n }\n });\n return changed ? u.toString() : url;\n } catch (e) {\n return url;\n }\n }\n \n function cleanLinks() {\n document.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n \n cleanLinks();\n \n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1) {\n if (node.tagName === 'A') cleanLinks();\n node.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Remove Tracking Parameters from Links");
}
} catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); }
})();
(function(){
try {
var __m = "youtube.com";
var __re = new RegExp('^' + "youtube\\.com" + '

Skip to content
BranchesTags
Repository files navigation
hyppo
CircleCICodecovNetlifyPyPI - Python VersionPyPIarXivshieldAll Contributors
hyppo (HYPothesis Testing in PythOn, pronounced "Hippo") is an open-source software package for multivariate hypothesis testing. We decided to develop hyppo for the following reasons:
  • With the increase in the amount of data in many fields, hypothesis testing for high dimensional and nonlinear data is important
  • Libraries in R exist, but their interfaces are inconsistent and most are not available in Python
hyppo intends to be a comprehensive multivariate hypothesis testing package and runs on all major versions of operating systems. It also includes novel tests not found in other packages. It is quick to install and free of charge. If you need to use multivariate hypothesis testing, be sure to give hyppo a try!
Website: https://hyppo.neurodata.io/
Installation
Dependencies
hyppo requires the following:
User installation
The easiest way to install hyppo is using pip
pip install hyppo
To upgrade to a newer release use the --upgrade flag
pip install --upgrade hyppo
The documentation includes more detailed installation instructions.
hyppo is free software; you can redistribute it and/or modify it under the
terms of the license.
Release Notes
See the release notes
for a history of notable changes to hyppo.
Development
We welcome new contributors of all experience levels. The hyppo
community goals are to be helpful, welcoming, and effective. The
contributor guide
has detailed information about contributing code, documentation and tests.
Note: We have recently moved our benchmarks (with relevant figure replication code for our papers) folder to a new repo! We aim to add test development code and paper figure replication code there, and will add relevant tests (with tutorials) to hyppo.
Contributors
Thanks goes to these wonderful people (emoji key):

Sambit Panda
🐛💻📖🤔🚧👀
cshen6
🤔
joshua vogelstein
🔍🧑‍🏫🤔
Satish Palaniappan
💻🤔
Junhao Xiong
💻🤔
Eric Bridgeford
🐛🤔
Ronak D. Mehta
💻🤔

Jaewon Chung
🐛
Jayanta Dey
💻
Bijan Varjavand
💻
Benjamin Pedigo
🐛💻
alyakin314
💻🤔
Vivek Gopalakrishnan
💻
Ronan Perry
🐛💻🤔👀📖

Haoyin Xu
💻📖👀
Hadas Arik
💻
kareef928
💻
Verathagnus
💻
dlee0156
💻
Najmieh Sadat Safarabadi
📖
TacticalFallacy
💻

darsh-patel
💻
zdbzdb123123
💻
This project follows the all-contributors specification.
Contributions of any kind are welcome!
Project History
hyppo is a rebranding of mgcpy, which was founded in Novemember 2018.
mgcpy was designed and written by Satish Palaniappan, Sambit
Panda, Junhao Xiong, Sandhya Ramachandran, and Ronak Mehtra. hyppo
was designed and written by Sambit Panda and first released February 2020.
About
Python package for multivariate hypothesis testing
hyppo.neurodata.io/
Resources
Readme
MIT license
Contributing
Contributing
Activity
Stars
0 stars
Watchers
0 watching
Forks
0 forks
Report repository
Releases
Packages
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Auto-enable theater mode on YouTube\n(function() {\n function tryTheater() {\n var btn = document.querySelector('button[aria-label=\"Theater mode\"], ytd-player #player button[title=\"Theater mode\"]');\n if (btn && !btn.classList.contains('activated')) {\n btn.click();\n }\n }\n \n // Try immediately\n tryTheater();\n \n // Try after navigation (SPA)\n var lastUrl = location.href;\n setInterval(function() {\n if (location.href !== lastUrl) {\n lastUrl = location.href;\n setTimeout(tryTheater, 500);\n }\n }, 1000);\n \n // Also try on player load\n var observer = new MutationObserver(tryTheater);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "YouTube Theater Mode Default");
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})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

Skip to content
BranchesTags
Repository files navigation
hyppo
CircleCICodecovNetlifyPyPI - Python VersionPyPIarXivshieldAll Contributors
hyppo (HYPothesis Testing in PythOn, pronounced "Hippo") is an open-source software package for multivariate hypothesis testing. We decided to develop hyppo for the following reasons:
  • With the increase in the amount of data in many fields, hypothesis testing for high dimensional and nonlinear data is important
  • Libraries in R exist, but their interfaces are inconsistent and most are not available in Python
hyppo intends to be a comprehensive multivariate hypothesis testing package and runs on all major versions of operating systems. It also includes novel tests not found in other packages. It is quick to install and free of charge. If you need to use multivariate hypothesis testing, be sure to give hyppo a try!
Website: https://hyppo.neurodata.io/
Installation
Dependencies
hyppo requires the following:
User installation
The easiest way to install hyppo is using pip
pip install hyppo
To upgrade to a newer release use the --upgrade flag
pip install --upgrade hyppo
The documentation includes more detailed installation instructions.
hyppo is free software; you can redistribute it and/or modify it under the
terms of the license.
Release Notes
See the release notes
for a history of notable changes to hyppo.
Development
We welcome new contributors of all experience levels. The hyppo
community goals are to be helpful, welcoming, and effective. The
contributor guide
has detailed information about contributing code, documentation and tests.
Note: We have recently moved our benchmarks (with relevant figure replication code for our papers) folder to a new repo! We aim to add test development code and paper figure replication code there, and will add relevant tests (with tutorials) to hyppo.
Contributors
Thanks goes to these wonderful people (emoji key):

Sambit Panda
🐛💻📖🤔🚧👀
cshen6
🤔
joshua vogelstein
🔍🧑‍🏫🤔
Satish Palaniappan
💻🤔
Junhao Xiong
💻🤔
Eric Bridgeford
🐛🤔
Ronak D. Mehta
💻🤔

Jaewon Chung
🐛
Jayanta Dey
💻
Bijan Varjavand
💻
Benjamin Pedigo
🐛💻
alyakin314
💻🤔
Vivek Gopalakrishnan
💻
Ronan Perry
🐛💻🤔👀📖

Haoyin Xu
💻📖👀
Hadas Arik
💻
kareef928
💻
Verathagnus
💻
dlee0156
💻
Najmieh Sadat Safarabadi
📖
TacticalFallacy
💻

darsh-patel
💻
zdbzdb123123
💻
This project follows the all-contributors specification.
Contributions of any kind are welcome!
Project History
hyppo is a rebranding of mgcpy, which was founded in Novemember 2018.
mgcpy was designed and written by Satish Palaniappan, Sambit
Panda, Junhao Xiong, Sandhya Ramachandran, and Ronak Mehtra. hyppo
was designed and written by Sambit Panda and first released February 2020.
About
Python package for multivariate hypothesis testing
hyppo.neurodata.io/
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Readme
MIT license
Contributing
Contributing
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, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Remove or un-stick sticky/fixed headers that block content\n(function() {\n function unstick() {\n document.querySelectorAll('header, nav, [role=\"banner\"], .header, .navbar, .sticky, .fixed-top, [style*=\"position: fixed\"], [style*=\"position:sticky\"]').forEach(function(el) {\n if (el.style.position === 'fixed' || el.style.position === 'sticky' || \n getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') {\n el.style.position = 'static';\n el.style.top = 'auto';\n el.style.zIndex = 'auto';\n }\n });\n }\n \n unstick();\n \n var observer = new MutationObserver(unstick);\n observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] });\n})();", "Kill Sticky Headers");
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})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

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hyppo
CircleCICodecovNetlifyPyPI - Python VersionPyPIarXivshieldAll Contributors
hyppo (HYPothesis Testing in PythOn, pronounced "Hippo") is an open-source software package for multivariate hypothesis testing. We decided to develop hyppo for the following reasons:
  • With the increase in the amount of data in many fields, hypothesis testing for high dimensional and nonlinear data is important
  • Libraries in R exist, but their interfaces are inconsistent and most are not available in Python
hyppo intends to be a comprehensive multivariate hypothesis testing package and runs on all major versions of operating systems. It also includes novel tests not found in other packages. It is quick to install and free of charge. If you need to use multivariate hypothesis testing, be sure to give hyppo a try!
Website: https://hyppo.neurodata.io/
Installation
Dependencies
hyppo requires the following:
User installation
The easiest way to install hyppo is using pip
pip install hyppo
To upgrade to a newer release use the --upgrade flag
pip install --upgrade hyppo
The documentation includes more detailed installation instructions.
hyppo is free software; you can redistribute it and/or modify it under the
terms of the license.
Release Notes
See the release notes
for a history of notable changes to hyppo.
Development
We welcome new contributors of all experience levels. The hyppo
community goals are to be helpful, welcoming, and effective. The
contributor guide
has detailed information about contributing code, documentation and tests.
Note: We have recently moved our benchmarks (with relevant figure replication code for our papers) folder to a new repo! We aim to add test development code and paper figure replication code there, and will add relevant tests (with tutorials) to hyppo.
Contributors
Thanks goes to these wonderful people (emoji key):

Sambit Panda
🐛💻📖🤔🚧👀
cshen6
🤔
joshua vogelstein
🔍🧑‍🏫🤔
Satish Palaniappan
💻🤔
Junhao Xiong
💻🤔
Eric Bridgeford
🐛🤔
Ronak D. Mehta
💻🤔

Jaewon Chung
🐛
Jayanta Dey
💻
Bijan Varjavand
💻
Benjamin Pedigo
🐛💻
alyakin314
💻🤔
Vivek Gopalakrishnan
💻
Ronan Perry
🐛💻🤔👀📖

Haoyin Xu
💻📖👀
Hadas Arik
💻
kareef928
💻
Verathagnus
💻
dlee0156
💻
Najmieh Sadat Safarabadi
📖
TacticalFallacy
💻

darsh-patel
💻
zdbzdb123123
💻
This project follows the all-contributors specification.
Contributions of any kind are welcome!
Project History
hyppo is a rebranding of mgcpy, which was founded in Novemember 2018.
mgcpy was designed and written by Satish Palaniappan, Sambit
Panda, Junhao Xiong, Sandhya Ramachandran, and Ronak Mehtra. hyppo
was designed and written by Sambit Panda and first released February 2020.
About
Python package for multivariate hypothesis testing
hyppo.neurodata.io/
Resources
Readme
MIT license
Contributing
Contributing
Activity
Stars
0 stars
Watchers
0 watching
Forks
0 forks
Report repository
Releases
Packages
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Universal Dark Mode - works on any site\n(function() {\n var enabled = true;\n \n function applyDarkMode() {\n if (!enabled) return;\n \n // Create style element if it doesn't exist\n var style = document.getElementById('universal-dark-mode-style');\n if (!style) {\n style = document.createElement('style');\n style.id = 'universal-dark-mode-style';\n document.head.appendChild(style);\n }\n \n // Dark mode CSS - inverts colors but preserves images/video\n style.textContent = '\n /* Invert everything except media */\n html {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #1a1a2e !important;\n }\n \n /* Restore images, videos, iframes, canvas */\n img, video, iframe, canvas, svg, picture, [style*=\"background-image\"] {\n filter: invert(1) hue-rotate(180deg) !important;\n }\n \n /* Preserve specific elements that should not be inverted */\n .no-dark-mode, .no-dark-mode *,\n [data-theme=\"light\"], [data-theme=\"light\"],\n .ace_editor, .ace_editor *,\n .CodeMirror, .CodeMirror *,\n .monaco-editor, .monaco-editor *,\n .markdown-body pre, .markdown-body pre *,\n .highlight, .highlight *,\n pre code, pre code * {\n filter: none !important;\n }\n \n /* Fix common UI elements */\n .modal, .popup, .dropdown-menu, .tooltip, .popover {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #2d2d44 !important;\n border-color: #444 !important;\n }\n \n /* Scrollbars */\n ::-webkit-scrollbar { background: #1a1a2e !important; }\n ::-webkit-scrollbar-thumb { background: #444 !important; }\n ::-webkit-scrollbar-thumb:hover { background: #555 !important; }\n \n /* Selection */\n ::selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ::-moz-selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ';\n }\n \n function removeDarkMode() {\n var style = document.getElementById('universal-dark-mode-style');\n if (style) style.remove();\n }\n \n // Toggle with Alt+Shift+D\n document.addEventListener('keydown', function(e) {\n if (e.altKey && e.shiftKey && e.key === 'D') {\n e.preventDefault();\n enabled = !enabled;\n if (enabled) {\n applyDarkMode();\n console.log('[Universal Dark Mode] Enabled');\n } else {\n removeDarkMode();\n console.log('[Universal Dark Mode] Disabled');\n }\n }\n });\n \n // Apply on load\n applyDarkMode();\n \n // Re-apply on dynamic content\n var observer = new MutationObserver(function(mutations) {\n if (enabled && !document.getElementById('universal-dark-mode-style')) {\n applyDarkMode();\n }\n });\n observer.observe(document.head, { childList: true });\n \n console.log('[Universal Dark Mode] Loaded - Press Alt+Shift+D to toggle');\n})();", "Universal Dark Mode");
}
} catch(__e) { console.warn('[Userscript:Universal Dark Mode]', __e); }
})();
})();

Skip to content
BranchesTags
Repository files navigation
hyppo
CircleCICodecovNetlifyPyPI - Python VersionPyPIarXivshieldAll Contributors
hyppo (HYPothesis Testing in PythOn, pronounced "Hippo") is an open-source software package for multivariate hypothesis testing. We decided to develop hyppo for the following reasons:
  • With the increase in the amount of data in many fields, hypothesis testing for high dimensional and nonlinear data is important
  • Libraries in R exist, but their interfaces are inconsistent and most are not available in Python
hyppo intends to be a comprehensive multivariate hypothesis testing package and runs on all major versions of operating systems. It also includes novel tests not found in other packages. It is quick to install and free of charge. If you need to use multivariate hypothesis testing, be sure to give hyppo a try!
Website: https://hyppo.neurodata.io/
Installation
Dependencies
hyppo requires the following:
User installation
The easiest way to install hyppo is using pip
pip install hyppo
To upgrade to a newer release use the --upgrade flag
pip install --upgrade hyppo
The documentation includes more detailed installation instructions.
hyppo is free software; you can redistribute it and/or modify it under the
terms of the license.
Release Notes
See the release notes
for a history of notable changes to hyppo.
Development
We welcome new contributors of all experience levels. The hyppo
community goals are to be helpful, welcoming, and effective. The
contributor guide
has detailed information about contributing code, documentation and tests.
Note: We have recently moved our benchmarks (with relevant figure replication code for our papers) folder to a new repo! We aim to add test development code and paper figure replication code there, and will add relevant tests (with tutorials) to hyppo.
Contributors
Thanks goes to these wonderful people (emoji key):

Sambit Panda
🐛💻📖🤔🚧👀
cshen6
🤔
joshua vogelstein
🔍🧑‍🏫🤔
Satish Palaniappan
💻🤔
Junhao Xiong
💻🤔
Eric Bridgeford
🐛🤔
Ronak D. Mehta
💻🤔

Jaewon Chung
🐛
Jayanta Dey
💻
Bijan Varjavand
💻
Benjamin Pedigo
🐛💻
alyakin314
💻🤔
Vivek Gopalakrishnan
💻
Ronan Perry
🐛💻🤔👀📖

Haoyin Xu
💻📖👀
Hadas Arik
💻
kareef928
💻
Verathagnus
💻
dlee0156
💻
Najmieh Sadat Safarabadi
📖
TacticalFallacy
💻

darsh-patel
💻
zdbzdb123123
💻
This project follows the all-contributors specification.
Contributions of any kind are welcome!
Project History
hyppo is a rebranding of mgcpy, which was founded in Novemember 2018.
mgcpy was designed and written by Satish Palaniappan, Sambit
Panda, Junhao Xiong, Sandhya Ramachandran, and Ronak Mehtra. hyppo
was designed and written by Sambit Panda and first released February 2020.
About
Python package for multivariate hypothesis testing
hyppo.neurodata.io/
Resources
Readme
MIT license
Contributing
Contributing
Activity
Stars
0 stars
Watchers
0 watching
Forks
0 forks
Report repository
Releases
Packages
Contributors
Languages