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Moodbased

Moodbased is an application that utilizes the Spotify API to help users get a deeper understanding of the mood of their selected playlist. With its user-friendly interface, Moodbased provides three main features to its users:

Generates a bar graph that breaks down all the songs in the playlist based on their key and scale. This feature helps users gain insight into the tonality and musical characteristics of the playlist.

Breaks down the moods of each song in the selected playlist and presents them in a visually appealing donut chart, complete with emojis depicting different moods such as sadness, anger, happiness, euphoria, and more.

Identifies the top five saddest and happiest songs in the entire playlist (based on valence), giving users a quick and easy way to identify the most emotional songs in their playlist.

Example of the Moodbased dashboard

Prerequisites

To use this app, you will need to have a premium Spotify account and obtain a client ID and client secret from the Spotify Developer Dashboard.

Installation

1. Clone this repository to your local machine:
2. Navigate to the directory where you cloned the repository:
3. Install the required dependencies in frontend and backend:
4. Create a .env file and add your Spotify client ID and client secret to it:
CLIENT_SECRET=XXXX
CLIENT_ID=XXXX
PORT=XXXX
5. Add the callback url for your app on the Spotify dashboard.
If you are using a Mac with an M1 chip and get the following error after running `npm install` in backend:
Error: Cannot find module 'node-bin-darwin-arm64/package.json
Simply run the following to fix it:
$ nvm uninstall 18
$ arch -x86_64 zsh
$ nvm install 18
$ nvm alias default 18

Disclaimer

This app is for educational purposes only and is not affiliated with Spotify. Use at your own risk.

About

No description, website, or topics provided.

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Readme
Activity

Stars

0 stars

Watchers

1 watching

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0 forks
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, '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" + '

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Moodbased
Moodbased is an application that utilizes the Spotify API to help users get a deeper understanding of the mood of their selected playlist. With its user-friendly interface, Moodbased provides three main features to its users:
Generates a bar graph that breaks down all the songs in the playlist based on their key and scale. This feature helps users gain insight into the tonality and musical characteristics of the playlist.
Breaks down the moods of each song in the selected playlist and presents them in a visually appealing donut chart, complete with emojis depicting different moods such as sadness, anger, happiness, euphoria, and more.
Identifies the top five saddest and happiest songs in the entire playlist (based on valence), giving users a quick and easy way to identify the most emotional songs in their playlist.
Example of the Moodbased dashboard
Prerequisites
To use this app, you will need to have a premium Spotify account and obtain a client ID and client secret from the Spotify Developer Dashboard.
Installation
1. Clone this repository to your local machine:
2. Navigate to the directory where you cloned the repository:
3. Install the required dependencies in frontend and backend:
4. Create a .env file and add your Spotify client ID and client secret to it:
CLIENT_SECRET=XXXX
CLIENT_ID=XXXX
PORT=XXXX
5. Add the callback url for your app on the Spotify dashboard.
If you are using a Mac with an M1 chip and get the following error after running `npm install` in backend:
Error: Cannot find module 'node-bin-darwin-arm64/package.json
Simply run the following to fix it:
$ nvm uninstall 18
$ arch -x86_64 zsh
$ nvm install 18
$ nvm alias default 18

Disclaimer
This app is for educational purposes only and is not affiliated with Spotify. Use at your own risk.
About
No description, website, or topics provided.
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1 watching
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, '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('^' + ".*" + '

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Moodbased
Moodbased is an application that utilizes the Spotify API to help users get a deeper understanding of the mood of their selected playlist. With its user-friendly interface, Moodbased provides three main features to its users:
Generates a bar graph that breaks down all the songs in the playlist based on their key and scale. This feature helps users gain insight into the tonality and musical characteristics of the playlist.
Breaks down the moods of each song in the selected playlist and presents them in a visually appealing donut chart, complete with emojis depicting different moods such as sadness, anger, happiness, euphoria, and more.
Identifies the top five saddest and happiest songs in the entire playlist (based on valence), giving users a quick and easy way to identify the most emotional songs in their playlist.
Example of the Moodbased dashboard
Prerequisites
To use this app, you will need to have a premium Spotify account and obtain a client ID and client secret from the Spotify Developer Dashboard.
Installation
1. Clone this repository to your local machine:
2. Navigate to the directory where you cloned the repository:
3. Install the required dependencies in frontend and backend:
4. Create a .env file and add your Spotify client ID and client secret to it:
CLIENT_SECRET=XXXX
CLIENT_ID=XXXX
PORT=XXXX
5. Add the callback url for your app on the Spotify dashboard.
If you are using a Mac with an M1 chip and get the following error after running `npm install` in backend:
Error: Cannot find module 'node-bin-darwin-arm64/package.json
Simply run the following to fix it:
$ nvm uninstall 18
$ arch -x86_64 zsh
$ nvm install 18
$ nvm alias default 18

Disclaimer
This app is for educational purposes only and is not affiliated with Spotify. Use at your own risk.
About
No description, website, or topics provided.
Resources
Readme
Activity
Stars
0 stars
Watchers
1 watching
Forks
0 forks
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Used by
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, '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('^' + ".*" + '

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Moodbased
Moodbased is an application that utilizes the Spotify API to help users get a deeper understanding of the mood of their selected playlist. With its user-friendly interface, Moodbased provides three main features to its users:
Generates a bar graph that breaks down all the songs in the playlist based on their key and scale. This feature helps users gain insight into the tonality and musical characteristics of the playlist.
Breaks down the moods of each song in the selected playlist and presents them in a visually appealing donut chart, complete with emojis depicting different moods such as sadness, anger, happiness, euphoria, and more.
Identifies the top five saddest and happiest songs in the entire playlist (based on valence), giving users a quick and easy way to identify the most emotional songs in their playlist.
Example of the Moodbased dashboard
Prerequisites
To use this app, you will need to have a premium Spotify account and obtain a client ID and client secret from the Spotify Developer Dashboard.
Installation
1. Clone this repository to your local machine:
2. Navigate to the directory where you cloned the repository:
3. Install the required dependencies in frontend and backend:
4. Create a .env file and add your Spotify client ID and client secret to it:
CLIENT_SECRET=XXXX
CLIENT_ID=XXXX
PORT=XXXX
5. Add the callback url for your app on the Spotify dashboard.
If you are using a Mac with an M1 chip and get the following error after running `npm install` in backend:
Error: Cannot find module 'node-bin-darwin-arm64/package.json
Simply run the following to fix it:
$ nvm uninstall 18
$ arch -x86_64 zsh
$ nvm install 18
$ nvm alias default 18

Disclaimer
This app is for educational purposes only and is not affiliated with Spotify. Use at your own risk.
About
No description, website, or topics provided.
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1 watching
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0 forks
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, '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" + '

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Repository files navigation
Moodbased
Moodbased is an application that utilizes the Spotify API to help users get a deeper understanding of the mood of their selected playlist. With its user-friendly interface, Moodbased provides three main features to its users:
Generates a bar graph that breaks down all the songs in the playlist based on their key and scale. This feature helps users gain insight into the tonality and musical characteristics of the playlist.
Breaks down the moods of each song in the selected playlist and presents them in a visually appealing donut chart, complete with emojis depicting different moods such as sadness, anger, happiness, euphoria, and more.
Identifies the top five saddest and happiest songs in the entire playlist (based on valence), giving users a quick and easy way to identify the most emotional songs in their playlist.
Example of the Moodbased dashboard
Prerequisites
To use this app, you will need to have a premium Spotify account and obtain a client ID and client secret from the Spotify Developer Dashboard.
Installation
1. Clone this repository to your local machine:
2. Navigate to the directory where you cloned the repository:
3. Install the required dependencies in frontend and backend:
4. Create a .env file and add your Spotify client ID and client secret to it:
CLIENT_SECRET=XXXX
CLIENT_ID=XXXX
PORT=XXXX
5. Add the callback url for your app on the Spotify dashboard.
If you are using a Mac with an M1 chip and get the following error after running `npm install` in backend:
Error: Cannot find module 'node-bin-darwin-arm64/package.json
Simply run the following to fix it:
$ nvm uninstall 18
$ arch -x86_64 zsh
$ nvm install 18
$ nvm alias default 18

Disclaimer
This app is for educational purposes only and is not affiliated with Spotify. Use at your own risk.
About
No description, website, or topics provided.
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Readme
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Stars
0 stars
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1 watching
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0 forks
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, '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('^' + ".*" + '

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Moodbased
Moodbased is an application that utilizes the Spotify API to help users get a deeper understanding of the mood of their selected playlist. With its user-friendly interface, Moodbased provides three main features to its users:
Generates a bar graph that breaks down all the songs in the playlist based on their key and scale. This feature helps users gain insight into the tonality and musical characteristics of the playlist.
Breaks down the moods of each song in the selected playlist and presents them in a visually appealing donut chart, complete with emojis depicting different moods such as sadness, anger, happiness, euphoria, and more.
Identifies the top five saddest and happiest songs in the entire playlist (based on valence), giving users a quick and easy way to identify the most emotional songs in their playlist.
Example of the Moodbased dashboard
Prerequisites
To use this app, you will need to have a premium Spotify account and obtain a client ID and client secret from the Spotify Developer Dashboard.
Installation
1. Clone this repository to your local machine:
2. Navigate to the directory where you cloned the repository:
3. Install the required dependencies in frontend and backend:
4. Create a .env file and add your Spotify client ID and client secret to it:
CLIENT_SECRET=XXXX
CLIENT_ID=XXXX
PORT=XXXX
5. Add the callback url for your app on the Spotify dashboard.
If you are using a Mac with an M1 chip and get the following error after running `npm install` in backend:
Error: Cannot find module 'node-bin-darwin-arm64/package.json
Simply run the following to fix it:
$ nvm uninstall 18
$ arch -x86_64 zsh
$ nvm install 18
$ nvm alias default 18

Disclaimer
This app is for educational purposes only and is not affiliated with Spotify. Use at your own risk.
About
No description, website, or topics provided.
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Readme
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0 stars
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1 watching
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0 forks
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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");
}
} catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

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README.md
Repository files navigation
Moodbased
Moodbased is an application that utilizes the Spotify API to help users get a deeper understanding of the mood of their selected playlist. With its user-friendly interface, Moodbased provides three main features to its users:
Generates a bar graph that breaks down all the songs in the playlist based on their key and scale. This feature helps users gain insight into the tonality and musical characteristics of the playlist.
Breaks down the moods of each song in the selected playlist and presents them in a visually appealing donut chart, complete with emojis depicting different moods such as sadness, anger, happiness, euphoria, and more.
Identifies the top five saddest and happiest songs in the entire playlist (based on valence), giving users a quick and easy way to identify the most emotional songs in their playlist.
Example of the Moodbased dashboard
Prerequisites
To use this app, you will need to have a premium Spotify account and obtain a client ID and client secret from the Spotify Developer Dashboard.
Installation
1. Clone this repository to your local machine:
2. Navigate to the directory where you cloned the repository:
3. Install the required dependencies in frontend and backend:
4. Create a .env file and add your Spotify client ID and client secret to it:
CLIENT_SECRET=XXXX
CLIENT_ID=XXXX
PORT=XXXX
5. Add the callback url for your app on the Spotify dashboard.
If you are using a Mac with an M1 chip and get the following error after running `npm install` in backend:
Error: Cannot find module 'node-bin-darwin-arm64/package.json
Simply run the following to fix it:
$ nvm uninstall 18
$ arch -x86_64 zsh
$ nvm install 18
$ nvm alias default 18

Disclaimer
This app is for educational purposes only and is not affiliated with Spotify. Use at your own risk.
About
No description, website, or topics provided.
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1 watching
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, '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); }
})();
})();

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Moodbased
Moodbased is an application that utilizes the Spotify API to help users get a deeper understanding of the mood of their selected playlist. With its user-friendly interface, Moodbased provides three main features to its users:
Generates a bar graph that breaks down all the songs in the playlist based on their key and scale. This feature helps users gain insight into the tonality and musical characteristics of the playlist.
Breaks down the moods of each song in the selected playlist and presents them in a visually appealing donut chart, complete with emojis depicting different moods such as sadness, anger, happiness, euphoria, and more.
Identifies the top five saddest and happiest songs in the entire playlist (based on valence), giving users a quick and easy way to identify the most emotional songs in their playlist.
Example of the Moodbased dashboard
Prerequisites
To use this app, you will need to have a premium Spotify account and obtain a client ID and client secret from the Spotify Developer Dashboard.
Installation
1. Clone this repository to your local machine:
2. Navigate to the directory where you cloned the repository:
3. Install the required dependencies in frontend and backend:
4. Create a .env file and add your Spotify client ID and client secret to it:
CLIENT_SECRET=XXXX
CLIENT_ID=XXXX
PORT=XXXX
5. Add the callback url for your app on the Spotify dashboard.
If you are using a Mac with an M1 chip and get the following error after running `npm install` in backend:
Error: Cannot find module 'node-bin-darwin-arm64/package.json
Simply run the following to fix it:
$ nvm uninstall 18
$ arch -x86_64 zsh
$ nvm install 18
$ nvm alias default 18

Disclaimer
This app is for educational purposes only and is not affiliated with Spotify. Use at your own risk.
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