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Tinderlytics

Tinderlytics is a script that allows you to analyze Tinder data. It provides a graphical user interface (GUI) that displays various visualizations and calculations based on the provided Tinder data.

Features

  • Find correlations between different variables in the Tinder data.
  • Create histograms to visualize the distribution of swipes over 7-day and 30-day intervals.
  • Calculate and visualize the match rate over 7-day intervals.
  • Calculate the total number of swipes (likes and passes).
  • Browse through different folders to select the desired Tinder data for analysis.

Installation

To use Tinderlytics, follow these steps:

  1. Clone the repository:

    $ git clone https://github.com/Sentexi/Tinderlytics.git

  2. Change into the Tinderlytics directory:

    $ cd Tinderlytics

  3. Install the required dependencies:

    $ pip install -r requirements.txt

  4. Start the script by running main.py:

    $ python main.py

  5. The GUI window for file exploration will appear. Browse through the folders to locate the Tinder data you want to analyze.

  6. Double-click on a folder to open the data exploration GUI window. Use the provided buttons to perform various analysis tasks.

Dependencies

Tinderlytics requires the following dependencies:

  • Python 3.7.0 or higher
  • Matplotlib
  • Pandas
  • Tkinter

These dependencies will be automatically installed during the installation process.

Contributing

Contributions to Tinderlytics are welcome! If you encounter any issues or have suggestions for improvements, please open an issue in the repository. Honestly at this point I'm happy if someone can make anything out of this code.

License

Tinderlytics is licensed under the MIT License. Feel free to use, modify, and distribute this script according to the terms of the license.

About

Tinderlytics is a script that allows you to analyze Tinder data. It provides a graphical user interface (GUI) that displays various visualizations and calculations based on the provided Tinder data.

Topics

tinder

Resources

Readme
Activity

Stars

5 stars

Watchers

1 watching

Forks

1 fork
Report repository

Releases

Packages

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Add copy buttons to all 
 blocks\n(function() {\n function addCopyButtons() {\n document.querySelectorAll('pre code').forEach(function(codeBlock) {\n if (codeBlock.parentElement.hasAttribute('data-copy-added')) return;\n codeBlock.parentElement.setAttribute('data-copy-added', 'true');\n \n var btn = document.createElement('button');\n btn.textContent = 'Copy';\n 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;';\n btn.onmouseover = function() { this.style.opacity = '1'; };\n btn.onmouseout = function() { this.style.opacity = '0.7'; };\n btn.onclick = function() {\n navigator.clipboard.writeText(codeBlock.textContent).then(function() {\n btn.textContent = 'Copied!';\n setTimeout(function() { btn.textContent = 'Copy'; }, 1500);\n });\n };\n codeBlock.parentElement.style.position = 'relative';\n codeBlock.parentElement.appendChild(btn);\n });\n }\n \n addCopyButtons();\n \n // Re-run on dynamic content\n var observer = new MutationObserver(addCopyButtons);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Add Copy Buttons to Code Blocks");
}
} catch(__e) { console.warn('[Userscript:Add Copy Buttons to Code Blocks]', __e); }
})();
(function(){
try {
var __m = "github.com";
var __re = new RegExp('^' + "github\\.com" + '

Skip to content
BranchesTags
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Tinderlytics
Tinderlytics is a script that allows you to analyze Tinder data. It provides a graphical user interface (GUI) that displays various visualizations and calculations based on the provided Tinder data.
Features
  • Find correlations between different variables in the Tinder data.
  • Create histograms to visualize the distribution of swipes over 7-day and 30-day intervals.
  • Calculate and visualize the match rate over 7-day intervals.
  • Calculate the total number of swipes (likes and passes).
  • Browse through different folders to select the desired Tinder data for analysis.
Installation
To use Tinderlytics, follow these steps:
  1. Clone the repository:
    $ git clone https://github.com/Sentexi/Tinderlytics.git
  2. Change into the Tinderlytics directory:
    $ cd Tinderlytics
  3. Install the required dependencies:
    $ pip install -r requirements.txt
  4. Start the script by running main.py:
    $ python main.py
  5. The GUI window for file exploration will appear. Browse through the folders to locate the Tinder data you want to analyze.
  6. Double-click on a folder to open the data exploration GUI window. Use the provided buttons to perform various analysis tasks.
Dependencies
Tinderlytics requires the following dependencies:
  • Python 3.7.0 or higher
  • Matplotlib
  • Pandas
  • Tkinter
These dependencies will be automatically installed during the installation process.
Contributing
Contributions to Tinderlytics are welcome! If you encounter any issues or have suggestions for improvements, please open an issue in the repository. Honestly at this point I'm happy if someone can make anything out of this code.
License
Tinderlytics is licensed under the MIT License. Feel free to use, modify, and distribute this script according to the terms of the license.
About
Tinderlytics is a script that allows you to analyze Tinder data. It provides a graphical user interface (GUI) that displays various visualizations and calculations based on the provided Tinder data.
Topics
tinder
Resources
Readme
Activity
Stars
5 stars
Watchers
1 watching
Forks
1 fork
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");
}
} catch(__e) { console.warn('[Userscript:GitHub Dark Mode README Fix]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

Skip to content
BranchesTags
Repository files navigation
Tinderlytics
Tinderlytics is a script that allows you to analyze Tinder data. It provides a graphical user interface (GUI) that displays various visualizations and calculations based on the provided Tinder data.
Features
  • Find correlations between different variables in the Tinder data.
  • Create histograms to visualize the distribution of swipes over 7-day and 30-day intervals.
  • Calculate and visualize the match rate over 7-day intervals.
  • Calculate the total number of swipes (likes and passes).
  • Browse through different folders to select the desired Tinder data for analysis.
Installation
To use Tinderlytics, follow these steps:
  1. Clone the repository:
    $ git clone https://github.com/Sentexi/Tinderlytics.git
  2. Change into the Tinderlytics directory:
    $ cd Tinderlytics
  3. Install the required dependencies:
    $ pip install -r requirements.txt
  4. Start the script by running main.py:
    $ python main.py
  5. The GUI window for file exploration will appear. Browse through the folders to locate the Tinder data you want to analyze.
  6. Double-click on a folder to open the data exploration GUI window. Use the provided buttons to perform various analysis tasks.
Dependencies
Tinderlytics requires the following dependencies:
  • Python 3.7.0 or higher
  • Matplotlib
  • Pandas
  • Tkinter
These dependencies will be automatically installed during the installation process.
Contributing
Contributions to Tinderlytics are welcome! If you encounter any issues or have suggestions for improvements, please open an issue in the repository. Honestly at this point I'm happy if someone can make anything out of this code.
License
Tinderlytics is licensed under the MIT License. Feel free to use, modify, and distribute this script according to the terms of the license.
About
Tinderlytics is a script that allows you to analyze Tinder data. It provides a graphical user interface (GUI) that displays various visualizations and calculations based on the provided Tinder data.
Topics
tinder
Resources
Readme
Activity
Stars
5 stars
Watchers
1 watching
Forks
1 fork
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
Tinderlytics
Tinderlytics is a script that allows you to analyze Tinder data. It provides a graphical user interface (GUI) that displays various visualizations and calculations based on the provided Tinder data.
Features
  • Find correlations between different variables in the Tinder data.
  • Create histograms to visualize the distribution of swipes over 7-day and 30-day intervals.
  • Calculate and visualize the match rate over 7-day intervals.
  • Calculate the total number of swipes (likes and passes).
  • Browse through different folders to select the desired Tinder data for analysis.
Installation
To use Tinderlytics, follow these steps:
  1. Clone the repository:
    $ git clone https://github.com/Sentexi/Tinderlytics.git
  2. Change into the Tinderlytics directory:
    $ cd Tinderlytics
  3. Install the required dependencies:
    $ pip install -r requirements.txt
  4. Start the script by running main.py:
    $ python main.py
  5. The GUI window for file exploration will appear. Browse through the folders to locate the Tinder data you want to analyze.
  6. Double-click on a folder to open the data exploration GUI window. Use the provided buttons to perform various analysis tasks.
Dependencies
Tinderlytics requires the following dependencies:
  • Python 3.7.0 or higher
  • Matplotlib
  • Pandas
  • Tkinter
These dependencies will be automatically installed during the installation process.
Contributing
Contributions to Tinderlytics are welcome! If you encounter any issues or have suggestions for improvements, please open an issue in the repository. Honestly at this point I'm happy if someone can make anything out of this code.
License
Tinderlytics is licensed under the MIT License. Feel free to use, modify, and distribute this script according to the terms of the license.
About
Tinderlytics is a script that allows you to analyze Tinder data. It provides a graphical user interface (GUI) that displays various visualizations and calculations based on the provided Tinder data.
Topics
tinder
Resources
Readme
Activity
Stars
5 stars
Watchers
1 watching
Forks
1 fork
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
Tinderlytics
Tinderlytics is a script that allows you to analyze Tinder data. It provides a graphical user interface (GUI) that displays various visualizations and calculations based on the provided Tinder data.
Features
  • Find correlations between different variables in the Tinder data.
  • Create histograms to visualize the distribution of swipes over 7-day and 30-day intervals.
  • Calculate and visualize the match rate over 7-day intervals.
  • Calculate the total number of swipes (likes and passes).
  • Browse through different folders to select the desired Tinder data for analysis.
Installation
To use Tinderlytics, follow these steps:
  1. Clone the repository:
    $ git clone https://github.com/Sentexi/Tinderlytics.git
  2. Change into the Tinderlytics directory:
    $ cd Tinderlytics
  3. Install the required dependencies:
    $ pip install -r requirements.txt
  4. Start the script by running main.py:
    $ python main.py
  5. The GUI window for file exploration will appear. Browse through the folders to locate the Tinder data you want to analyze.
  6. Double-click on a folder to open the data exploration GUI window. Use the provided buttons to perform various analysis tasks.
Dependencies
Tinderlytics requires the following dependencies:
  • Python 3.7.0 or higher
  • Matplotlib
  • Pandas
  • Tkinter
These dependencies will be automatically installed during the installation process.
Contributing
Contributions to Tinderlytics are welcome! If you encounter any issues or have suggestions for improvements, please open an issue in the repository. Honestly at this point I'm happy if someone can make anything out of this code.
License
Tinderlytics is licensed under the MIT License. Feel free to use, modify, and distribute this script according to the terms of the license.
About
Tinderlytics is a script that allows you to analyze Tinder data. It provides a graphical user interface (GUI) that displays various visualizations and calculations based on the provided Tinder data.
Topics
tinder
Resources
Readme
Activity
Stars
5 stars
Watchers
1 watching
Forks
1 fork
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");
}
} catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

Skip to content
BranchesTags
Repository files navigation
Tinderlytics
Tinderlytics is a script that allows you to analyze Tinder data. It provides a graphical user interface (GUI) that displays various visualizations and calculations based on the provided Tinder data.
Features
  • Find correlations between different variables in the Tinder data.
  • Create histograms to visualize the distribution of swipes over 7-day and 30-day intervals.
  • Calculate and visualize the match rate over 7-day intervals.
  • Calculate the total number of swipes (likes and passes).
  • Browse through different folders to select the desired Tinder data for analysis.
Installation
To use Tinderlytics, follow these steps:
  1. Clone the repository:
    $ git clone https://github.com/Sentexi/Tinderlytics.git
  2. Change into the Tinderlytics directory:
    $ cd Tinderlytics
  3. Install the required dependencies:
    $ pip install -r requirements.txt
  4. Start the script by running main.py:
    $ python main.py
  5. The GUI window for file exploration will appear. Browse through the folders to locate the Tinder data you want to analyze.
  6. Double-click on a folder to open the data exploration GUI window. Use the provided buttons to perform various analysis tasks.
Dependencies
Tinderlytics requires the following dependencies:
  • Python 3.7.0 or higher
  • Matplotlib
  • Pandas
  • Tkinter
These dependencies will be automatically installed during the installation process.
Contributing
Contributions to Tinderlytics are welcome! If you encounter any issues or have suggestions for improvements, please open an issue in the repository. Honestly at this point I'm happy if someone can make anything out of this code.
License
Tinderlytics is licensed under the MIT License. Feel free to use, modify, and distribute this script according to the terms of the license.
About
Tinderlytics is a script that allows you to analyze Tinder data. It provides a graphical user interface (GUI) that displays various visualizations and calculations based on the provided Tinder data.
Topics
tinder
Resources
Readme
Activity
Stars
5 stars
Watchers
1 watching
Forks
1 fork
Report repository
Releases
Packages
Contributors
Languages

, '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");
}
} catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

Skip to content
BranchesTags
Repository files navigation
Tinderlytics
Tinderlytics is a script that allows you to analyze Tinder data. It provides a graphical user interface (GUI) that displays various visualizations and calculations based on the provided Tinder data.
Features
  • Find correlations between different variables in the Tinder data.
  • Create histograms to visualize the distribution of swipes over 7-day and 30-day intervals.
  • Calculate and visualize the match rate over 7-day intervals.
  • Calculate the total number of swipes (likes and passes).
  • Browse through different folders to select the desired Tinder data for analysis.
Installation
To use Tinderlytics, follow these steps:
  1. Clone the repository:
    $ git clone https://github.com/Sentexi/Tinderlytics.git
  2. Change into the Tinderlytics directory:
    $ cd Tinderlytics
  3. Install the required dependencies:
    $ pip install -r requirements.txt
  4. Start the script by running main.py:
    $ python main.py
  5. The GUI window for file exploration will appear. Browse through the folders to locate the Tinder data you want to analyze.
  6. Double-click on a folder to open the data exploration GUI window. Use the provided buttons to perform various analysis tasks.
Dependencies
Tinderlytics requires the following dependencies:
  • Python 3.7.0 or higher
  • Matplotlib
  • Pandas
  • Tkinter
These dependencies will be automatically installed during the installation process.
Contributing
Contributions to Tinderlytics are welcome! If you encounter any issues or have suggestions for improvements, please open an issue in the repository. Honestly at this point I'm happy if someone can make anything out of this code.
License
Tinderlytics is licensed under the MIT License. Feel free to use, modify, and distribute this script according to the terms of the license.
About
Tinderlytics is a script that allows you to analyze Tinder data. It provides a graphical user interface (GUI) that displays various visualizations and calculations based on the provided Tinder data.
Topics
tinder
Resources
Readme
Activity
Stars
5 stars
Watchers
1 watching
Forks
1 fork
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
Tinderlytics
Tinderlytics is a script that allows you to analyze Tinder data. It provides a graphical user interface (GUI) that displays various visualizations and calculations based on the provided Tinder data.
Features
  • Find correlations between different variables in the Tinder data.
  • Create histograms to visualize the distribution of swipes over 7-day and 30-day intervals.
  • Calculate and visualize the match rate over 7-day intervals.
  • Calculate the total number of swipes (likes and passes).
  • Browse through different folders to select the desired Tinder data for analysis.
Installation
To use Tinderlytics, follow these steps:
  1. Clone the repository:
    $ git clone https://github.com/Sentexi/Tinderlytics.git
  2. Change into the Tinderlytics directory:
    $ cd Tinderlytics
  3. Install the required dependencies:
    $ pip install -r requirements.txt
  4. Start the script by running main.py:
    $ python main.py
  5. The GUI window for file exploration will appear. Browse through the folders to locate the Tinder data you want to analyze.
  6. Double-click on a folder to open the data exploration GUI window. Use the provided buttons to perform various analysis tasks.
Dependencies
Tinderlytics requires the following dependencies:
  • Python 3.7.0 or higher
  • Matplotlib
  • Pandas
  • Tkinter
These dependencies will be automatically installed during the installation process.
Contributing
Contributions to Tinderlytics are welcome! If you encounter any issues or have suggestions for improvements, please open an issue in the repository. Honestly at this point I'm happy if someone can make anything out of this code.
License
Tinderlytics is licensed under the MIT License. Feel free to use, modify, and distribute this script according to the terms of the license.
About
Tinderlytics is a script that allows you to analyze Tinder data. It provides a graphical user interface (GUI) that displays various visualizations and calculations based on the provided Tinder data.
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tinder
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