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nfstream.org

nfstream is a Python package providing fast, flexible, and expressive data structures designed to make working with online or offline network data both easy and intuitive. It aims to be the fundamental high-level building block for doing practical, real world network data analysis in Python. Additionally, it has the broader goal of becoming a common network data processing framework for researchers providing data reproducibility across experiments.

This repo contains the content for NFStream web-site.

The project itself can be found here: https://github.com/nfstream/nfstream

Getting Started

Prerequisites

  1. Git
  2. Jekyll

Running locally

  1. Clone this repo: git clone https://github.com/nfstream/nfstream.github.io.git
  2. Run the web-site using Bundler: bundle exec jekyll serve
  3. Browse to http://localhost:4000

Overview

This web-site is built using Jekyll and uses Just The Docs theme for most of its content.

Most of the content is organized in Markdown (.md) files which are easy to generate and maintain. The only exceptions is the landing Page (index.html).

Contribute

You are more than welcome to contribute to this web-site. You can do that by either opening issues on GitHub or by adding/modifying content and create a PR.

If you decide to create a PR please make sure you:

  • Test the changes on different browsers
  • Test the changes on both desktop and mobile. You don't really have to run it on a mobile device, each desktop browser offers a mobile view of the page

About

nfstream.org website

Resources

Readme
Activity
Custom properties

Stars

2 stars

Watchers

1 watching

Forks

3 forks
Report repository

Releases

Packages

Used by

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { // Add copy buttons to all 
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(function() {
function addCopyButtons() {
document.querySelectorAll('pre code').forEach(function(codeBlock) {
if (codeBlock.parentElement.hasAttribute('data-copy-added')) return;
codeBlock.parentElement.setAttribute('data-copy-added', 'true');
var btn = document.createElement('button');
btn.textContent = 'Copy';
btn.style.cssText = 'position:absolute;top:4px;right:4px;padding:2px 8px;font-size:11px;background:#4ecdc4;border:none;border-radius:4px;color:#1a1a2e;cursor:pointer;opacity:0.7;transition:opacity 0.2s;';
btn.onmouseover = function() { this.style.opacity = '1'; };
btn.onmouseout = function() { this.style.opacity = '0.7'; };
btn.onclick = function() {
navigator.clipboard.writeText(codeBlock.textContent).then(function() {
btn.textContent = 'Copied!';
setTimeout(function() { btn.textContent = 'Copy'; }, 1500);
});
};
codeBlock.parentElement.style.position = 'relative';
codeBlock.parentElement.appendChild(btn);
});
}
addCopyButtons();
// Re-run on dynamic content
var observer = new MutationObserver(addCopyButtons);
observer.observe(document.body, { childList: true, subtree: true });
})();
}
} catch(__e) { console.warn('[Userscript:Add Copy Buttons to Code Blocks]', __e); }
})();
(function(){
try {
var __m = "github.com";
var __re = new RegExp('^' + "github\\.com" + '
GitHub - nfstream/nfstream.github.io: nfstream.org website · GitHub
Skip to content
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nfstream.org
nfstream is a Python package providing fast, flexible, and expressive data structures
designed to make working with online or offline network data both easy and intuitive. It aims to be the
fundamental high-level building block for doing practical, real world network data analysis in Python.
Additionally, it has the broader goal of becoming a common network data processing framework for researchers
providing data reproducibility across experiments.
This repo contains the content for NFStream web-site.
The project itself can be found here: https://github.com/nfstream/nfstream
Getting Started
Prerequisites
  1. Git
  2. Jekyll
Running locally
  1. Clone this repo: git clone https://github.com/nfstream/nfstream.github.io.git
  2. Run the web-site using Bundler: bundle exec jekyll serve
  3. Browse to http://localhost:4000
Overview
This web-site is built using Jekyll and uses Just The Docs
theme for most of its content.
Most of the content is organized in Markdown (.md) files which are easy to generate and maintain.
The only exceptions is the landing Page (index.html).
Contribute
You are more than welcome to contribute to this web-site.
You can do that by either opening issues on GitHub or by adding/modifying content and create a PR.
If you decide to create a PR please make sure you:
  • Test the changes on different browsers
  • Test the changes on both desktop and mobile. You don't really have to run it on a mobile device,
each desktop browser offers a mobile view of the page
About
nfstream.org website
Resources
Readme
Activity
Custom properties
Stars
2 stars
Watchers
1 watching
Forks
3 forks
Report repository
Releases
Packages
Used by
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
// Force GitHub README to respect dark mode
(function() {
var style = document.createElement('style');
style.textContent = '
.markdown-body {
color-scheme: dark light;
}
.markdown-body pre { background: #161b22 !important; }
.markdown-body code { background: rgba(110, 118, 129, 0.4) !important; }
.markdown-body table th, .markdown-body table td { border-color: #30363d !important; }
.markdown-body img { background: #0d1117; }
.markdown-body blockquote { border-left-color: #8b949e; }
.markdown-body hr { border-color: #30363d; }
';
document.head.appendChild(style);
})();
}
} catch(__e) { console.warn('[Userscript:GitHub Dark Mode README Fix]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '
GitHub - nfstream/nfstream.github.io: nfstream.org website · GitHub
Skip to content
BranchesTags
Repository files navigation
nfstream.org
nfstream is a Python package providing fast, flexible, and expressive data structures
designed to make working with online or offline network data both easy and intuitive. It aims to be the
fundamental high-level building block for doing practical, real world network data analysis in Python.
Additionally, it has the broader goal of becoming a common network data processing framework for researchers
providing data reproducibility across experiments.
This repo contains the content for NFStream web-site.
The project itself can be found here: https://github.com/nfstream/nfstream
Getting Started
Prerequisites
  1. Git
  2. Jekyll
Running locally
  1. Clone this repo: git clone https://github.com/nfstream/nfstream.github.io.git
  2. Run the web-site using Bundler: bundle exec jekyll serve
  3. Browse to http://localhost:4000
Overview
This web-site is built using Jekyll and uses Just The Docs
theme for most of its content.
Most of the content is organized in Markdown (.md) files which are easy to generate and maintain.
The only exceptions is the landing Page (index.html).
Contribute
You are more than welcome to contribute to this web-site.
You can do that by either opening issues on GitHub or by adding/modifying content and create a PR.
If you decide to create a PR please make sure you:
  • Test the changes on different browsers
  • Test the changes on both desktop and mobile. You don't really have to run it on a mobile device,
each desktop browser offers a mobile view of the page
About
nfstream.org website
Resources
Readme
Activity
Custom properties
Stars
2 stars
Watchers
1 watching
Forks
3 forks
Report repository
Releases
Packages
Used by
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
// Highlight search terms from Google/DuckDuckGo/Bing referrer
(function() {
var ref = document.referrer;
var terms = [];
if (ref.includes('google.com') || ref.includes('duckduckgo.com') || ref.includes('bing.com')) {
var url = new URL(ref);
var q = url.searchParams.get('q') || url.searchParams.get('p');
if (q) {
terms = q.split(/\s+/).filter(function(t) { return t.length > 2; });
}
}
if (terms.length === 0) return;
var style = document.createElement('style');
style.textContent = '.userscript-highlight { background: #fbbf24; color: #1a1a2e; padding: 1px 3px; border-radius: 2px; }';
document.head.appendChild(style);
function highlight(node) {
if (node.nodeType === 3) { // text node
var text = node.textContent;
var found = false;
terms.forEach(function(term) {
var regex = new RegExp('(' + term.replace(/[.*+?^${}()|[\]\\]/g, '\\') + ')', 'gi');
if (regex.test(text)) {
found = true;
var frag = document.createDocumentFragment();
var parts = text.split(regex);
parts.forEach(function(part, i) {
if (i % 2 === 0) {
frag.appendChild(document.createTextNode(part));
} else {
var span = document.createElement('span');
span.className = 'userscript-highlight';
span.textContent = part;
frag.appendChild(span);
}
});
node.parentNode.replaceChild(frag, node);
}
});
} else if (node.nodeType === 1 && node.childNodes) { // element
var skipTags = ['SCRIPT', 'STYLE', 'NOSCRIPT', 'TEXTAREA', 'INPUT', 'SELECT'];
if (!skipTags.includes(node.tagName)) {
Array.from(node.childNodes).forEach(highlight);
}
}
}
highlight(document.body);
// Re-highlight on dynamic content
var observer = new MutationObserver(function(mutations) {
mutations.forEach(function(m) {
m.addedNodes.forEach(function(node) {
if (node.nodeType === 1 || node.nodeType === 3) highlight(node);
});
});
});
observer.observe(document.body, { childList: true, subtree: true });
})();
}
} catch(__e) { console.warn('[Userscript:Highlight Search Terms]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '
GitHub - nfstream/nfstream.github.io: nfstream.org website · GitHub
Skip to content
BranchesTags
Repository files navigation
nfstream.org
nfstream is a Python package providing fast, flexible, and expressive data structures
designed to make working with online or offline network data both easy and intuitive. It aims to be the
fundamental high-level building block for doing practical, real world network data analysis in Python.
Additionally, it has the broader goal of becoming a common network data processing framework for researchers
providing data reproducibility across experiments.
This repo contains the content for NFStream web-site.
The project itself can be found here: https://github.com/nfstream/nfstream
Getting Started
Prerequisites
  1. Git
  2. Jekyll
Running locally
  1. Clone this repo: git clone https://github.com/nfstream/nfstream.github.io.git
  2. Run the web-site using Bundler: bundle exec jekyll serve
  3. Browse to http://localhost:4000
Overview
This web-site is built using Jekyll and uses Just The Docs
theme for most of its content.
Most of the content is organized in Markdown (.md) files which are easy to generate and maintain.
The only exceptions is the landing Page (index.html).
Contribute
You are more than welcome to contribute to this web-site.
You can do that by either opening issues on GitHub or by adding/modifying content and create a PR.
If you decide to create a PR please make sure you:
  • Test the changes on different browsers
  • Test the changes on both desktop and mobile. You don't really have to run it on a mobile device,
each desktop browser offers a mobile view of the page
About
nfstream.org website
Resources
Readme
Activity
Custom properties
Stars
2 stars
Watchers
1 watching
Forks
3 forks
Report repository
Releases
Packages
Used by
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
// Strip utm_, fbclid, gclid, etc. from all links on page
(function() {
var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content',
'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid',
'ref', 'ref_src', 'source', 'medium', 'campaign'];
function cleanUrl(url) {
try {
var u = new URL(url, window.location.origin);
var changed = false;
trackingParams.forEach(function(p) {
if (u.searchParams.has(p)) {
u.searchParams.delete(p);
changed = true;
}
});
return changed ? u.toString() : url;
} catch (e) {
return url;
}
}
function cleanLinks() {
document.querySelectorAll('a[href]').forEach(function(a) {
var clean = cleanUrl(a.href);
if (clean !== a.href) a.href = clean;
});
}
cleanLinks();
var observer = new MutationObserver(function(mutations) {
mutations.forEach(function(m) {
m.addedNodes.forEach(function(node) {
if (node.nodeType === 1) {
if (node.tagName === 'A') cleanLinks();
node.querySelectorAll('a[href]').forEach(function(a) {
var clean = cleanUrl(a.href);
if (clean !== a.href) a.href = clean;
});
}
});
});
});
observer.observe(document.body, { childList: true, subtree: true });
})();
}
} catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); }
})();
(function(){
try {
var __m = "youtube.com";
var __re = new RegExp('^' + "youtube\\.com" + '
GitHub - nfstream/nfstream.github.io: nfstream.org website · GitHub
Skip to content
BranchesTags
Repository files navigation
nfstream.org
nfstream is a Python package providing fast, flexible, and expressive data structures
designed to make working with online or offline network data both easy and intuitive. It aims to be the
fundamental high-level building block for doing practical, real world network data analysis in Python.
Additionally, it has the broader goal of becoming a common network data processing framework for researchers
providing data reproducibility across experiments.
This repo contains the content for NFStream web-site.
The project itself can be found here: https://github.com/nfstream/nfstream
Getting Started
Prerequisites
  1. Git
  2. Jekyll
Running locally
  1. Clone this repo: git clone https://github.com/nfstream/nfstream.github.io.git
  2. Run the web-site using Bundler: bundle exec jekyll serve
  3. Browse to http://localhost:4000
Overview
This web-site is built using Jekyll and uses Just The Docs
theme for most of its content.
Most of the content is organized in Markdown (.md) files which are easy to generate and maintain.
The only exceptions is the landing Page (index.html).
Contribute
You are more than welcome to contribute to this web-site.
You can do that by either opening issues on GitHub or by adding/modifying content and create a PR.
If you decide to create a PR please make sure you:
  • Test the changes on different browsers
  • Test the changes on both desktop and mobile. You don't really have to run it on a mobile device,
each desktop browser offers a mobile view of the page
About
nfstream.org website
Resources
Readme
Activity
Custom properties
Stars
2 stars
Watchers
1 watching
Forks
3 forks
Report repository
Releases
Packages
Used by
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
// Auto-enable theater mode on YouTube
(function() {
function tryTheater() {
var btn = document.querySelector('button[aria-label="Theater mode"], ytd-player #player button[title="Theater mode"]');
if (btn && !btn.classList.contains('activated')) {
btn.click();
}
}
// Try immediately
tryTheater();
// Try after navigation (SPA)
var lastUrl = location.href;
setInterval(function() {
if (location.href !== lastUrl) {
lastUrl = location.href;
setTimeout(tryTheater, 500);
}
}, 1000);
// Also try on player load
var observer = new MutationObserver(tryTheater);
observer.observe(document.body, { childList: true, subtree: true });
})();
}
} catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '
GitHub - nfstream/nfstream.github.io: nfstream.org website · GitHub
Skip to content
BranchesTags
Repository files navigation
nfstream.org
nfstream is a Python package providing fast, flexible, and expressive data structures
designed to make working with online or offline network data both easy and intuitive. It aims to be the
fundamental high-level building block for doing practical, real world network data analysis in Python.
Additionally, it has the broader goal of becoming a common network data processing framework for researchers
providing data reproducibility across experiments.
This repo contains the content for NFStream web-site.
The project itself can be found here: https://github.com/nfstream/nfstream
Getting Started
Prerequisites
  1. Git
  2. Jekyll
Running locally
  1. Clone this repo: git clone https://github.com/nfstream/nfstream.github.io.git
  2. Run the web-site using Bundler: bundle exec jekyll serve
  3. Browse to http://localhost:4000
Overview
This web-site is built using Jekyll and uses Just The Docs
theme for most of its content.
Most of the content is organized in Markdown (.md) files which are easy to generate and maintain.
The only exceptions is the landing Page (index.html).
Contribute
You are more than welcome to contribute to this web-site.
You can do that by either opening issues on GitHub or by adding/modifying content and create a PR.
If you decide to create a PR please make sure you:
  • Test the changes on different browsers
  • Test the changes on both desktop and mobile. You don't really have to run it on a mobile device,
each desktop browser offers a mobile view of the page
About
nfstream.org website
Resources
Readme
Activity
Custom properties
Stars
2 stars
Watchers
1 watching
Forks
3 forks
Report repository
Releases
Packages
Used by
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
// Remove or un-stick sticky/fixed headers that block content
(function() {
function unstick() {
document.querySelectorAll('header, nav, [role="banner"], .header, .navbar, .sticky, .fixed-top, [style*="position: fixed"], [style*="position:sticky"]').forEach(function(el) {
if (el.style.position === 'fixed' || el.style.position === 'sticky' || getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') {
el.style.position = 'static';
el.style.top = 'auto';
el.style.zIndex = 'auto';
}
});
}
unstick();
var observer = new MutationObserver(unstick);
observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] });
})();
}
} catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '
GitHub - nfstream/nfstream.github.io: nfstream.org website · GitHub
Skip to content
BranchesTags
Repository files navigation
nfstream.org
nfstream is a Python package providing fast, flexible, and expressive data structures
designed to make working with online or offline network data both easy and intuitive. It aims to be the
fundamental high-level building block for doing practical, real world network data analysis in Python.
Additionally, it has the broader goal of becoming a common network data processing framework for researchers
providing data reproducibility across experiments.
This repo contains the content for NFStream web-site.
The project itself can be found here: https://github.com/nfstream/nfstream
Getting Started
Prerequisites
  1. Git
  2. Jekyll
Running locally
  1. Clone this repo: git clone https://github.com/nfstream/nfstream.github.io.git
  2. Run the web-site using Bundler: bundle exec jekyll serve
  3. Browse to http://localhost:4000
Overview
This web-site is built using Jekyll and uses Just The Docs
theme for most of its content.
Most of the content is organized in Markdown (.md) files which are easy to generate and maintain.
The only exceptions is the landing Page (index.html).
Contribute
You are more than welcome to contribute to this web-site.
You can do that by either opening issues on GitHub or by adding/modifying content and create a PR.
If you decide to create a PR please make sure you:
  • Test the changes on different browsers
  • Test the changes on both desktop and mobile. You don't really have to run it on a mobile device,
each desktop browser offers a mobile view of the page
About
nfstream.org website
Resources
Readme
Activity
Custom properties
Stars
2 stars
Watchers
1 watching
Forks
3 forks
Report repository
Releases
Packages
Used by
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
// Universal Dark Mode - works on any site
(function() {
var enabled = true;
function applyDarkMode() {
if (!enabled) return;
// Create style element if it doesn't exist
var style = document.getElementById('universal-dark-mode-style');
if (!style) {
style = document.createElement('style');
style.id = 'universal-dark-mode-style';
document.head.appendChild(style);
}
// Dark mode CSS - inverts colors but preserves images/video
style.textContent = '
/* Invert everything except media */
html {
filter: invert(1) hue-rotate(180deg) !important;
background: #1a1a2e !important;
}
/* Restore images, videos, iframes, canvas */
img, video, iframe, canvas, svg, picture, [style*="background-image"] {
filter: invert(1) hue-rotate(180deg) !important;
}
/* Preserve specific elements that should not be inverted */
.no-dark-mode, .no-dark-mode *,
[data-theme="light"], [data-theme="light"],
.ace_editor, .ace_editor *,
.CodeMirror, .CodeMirror *,
.monaco-editor, .monaco-editor *,
.markdown-body pre, .markdown-body pre *,
.highlight, .highlight *,
pre code, pre code * {
filter: none !important;
}
/* Fix common UI elements */
.modal, .popup, .dropdown-menu, .tooltip, .popover {
filter: invert(1) hue-rotate(180deg) !important;
background: #2d2d44 !important;
border-color: #444 !important;
}
/* Scrollbars */
::-webkit-scrollbar { background: #1a1a2e !important; }
::-webkit-scrollbar-thumb { background: #444 !important; }
::-webkit-scrollbar-thumb:hover { background: #555 !important; }
/* Selection */
::selection { background: #4ecdc4 !important; color: #1a1a2e !important; }
::-moz-selection { background: #4ecdc4 !important; color: #1a1a2e !important; }
';
}
function removeDarkMode() {
var style = document.getElementById('universal-dark-mode-style');
if (style) style.remove();
}
// Toggle with Alt+Shift+D
document.addEventListener('keydown', function(e) {
if (e.altKey && e.shiftKey && e.key === 'D') {
e.preventDefault();
enabled = !enabled;
if (enabled) {
applyDarkMode();
console.log('[Universal Dark Mode] Enabled');
} else {
removeDarkMode();
console.log('[Universal Dark Mode] Disabled');
}
}
});
// Apply on load
applyDarkMode();
// Re-apply on dynamic content
var observer = new MutationObserver(function(mutations) {
if (enabled && !document.getElementById('universal-dark-mode-style')) {
applyDarkMode();
}
});
observer.observe(document.head, { childList: true });
console.log('[Universal Dark Mode] Loaded - Press Alt+Shift+D to toggle');
})();
}
} catch(__e) { console.warn('[Userscript:Universal Dark Mode]', __e); }
})();
})();
GitHub - nfstream/nfstream.github.io: nfstream.org website · GitHub
Skip to content
BranchesTags
Repository files navigation
nfstream.org
nfstream is a Python package providing fast, flexible, and expressive data structures
designed to make working with online or offline network data both easy and intuitive. It aims to be the
fundamental high-level building block for doing practical, real world network data analysis in Python.
Additionally, it has the broader goal of becoming a common network data processing framework for researchers
providing data reproducibility across experiments.
This repo contains the content for NFStream web-site.
The project itself can be found here: https://github.com/nfstream/nfstream
Getting Started
Prerequisites
  1. Git
  2. Jekyll
Running locally
  1. Clone this repo: git clone https://github.com/nfstream/nfstream.github.io.git
  2. Run the web-site using Bundler: bundle exec jekyll serve
  3. Browse to http://localhost:4000
Overview
This web-site is built using Jekyll and uses Just The Docs
theme for most of its content.
Most of the content is organized in Markdown (.md) files which are easy to generate and maintain.
The only exceptions is the landing Page (index.html).
Contribute
You are more than welcome to contribute to this web-site.
You can do that by either opening issues on GitHub or by adding/modifying content and create a PR.
If you decide to create a PR please make sure you:
  • Test the changes on different browsers
  • Test the changes on both desktop and mobile. You don't really have to run it on a mobile device,
each desktop browser offers a mobile view of the page
About
nfstream.org website
Resources
Readme
Activity
Custom properties
Stars
2 stars
Watchers
1 watching
Forks
3 forks
Report repository
Releases
Packages
Used by
Contributors
Languages