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Sortify

CILatest releaseDownloads.NET 8Platform: WindowsLicense: AGPL v3

Sortify reads your Spotify streaming history and turns it into statistics you can explore. It shows your top tracks, artists and albums, how your listening changed over time and year by year, and how it breaks down by hour of the day and day of the week. It ships as a single portable .exe so there is no installation.

Features

  • Top tracks, artists and albums, ranked by listening time, play count, or the first time you played them.
  • Charts throughout the app: bar charts for top tracks, artists and albums, a donut showing each artist's share of your listening, a line chart of listening over time (daily, weekly or monthly), a day-of-week vs. hour-of-day heatmap, and breakdowns by hour and by day of the week.
  • A Years tab with a per-year rollup: listening time, plays, unique artists and tracks, and your top artist and track for every year.
  • A Podcasts tab covering podcasts and audiobooks: total time and plays, how many shows and episodes, top shows and top episodes, and sortable tables for both.
  • Insights: longest and current listening streaks, your biggest day, listening sessions (count, average and longest), weekday vs. weekend split, favorite time of day, skip rate, most skipped tracks, a chart of new artists discovered per month, and a donut of why plays ended (finished, skipped, and so on).
  • Playback context, also in Insights: your shuffle rate, how much you listened offline, and donuts breaking listening down by device (desktop, mobile, web player, speaker, car) and by country.
  • Sortable tables. Click any column header to reorder by that field; right-click a row to copy it or exclude that track/artist.
  • Double-click any track, artist or album row to open a detail view: listening time, plays, active days, first and last listen, a monthly chart, an hour-of-day profile, its tracks and albums, and a button that opens it in Spotify.
  • Filters that update every chart and table as you change them:
    • Minimum play duration. The default is five seconds, which drops skips.
    • Whether podcasts and audiobooks count toward your track, artist and album statistics. Off by default, since a few long shows will otherwise outrank your music. The Podcasts tab shows them either way.
    • Date range.
    • Search by track, artist or album name.
    • An exclude list for specific artists or tracks.
    • Time of day and day of week. Time ranges may cross midnight, for example 22:00 to 02:00.
  • Load data your way: pick individual JSON files (Ctrl+O), point at the extracted export folder (Open Folder, Ctrl+Shift+O), or just drag & drop the files or the whole folder onto the window.
  • Reads both the extended streaming history (Streaming_History_Audio_*.json) and the older account-data export (StreamingHistory*.json).
  • Reopens the folder you used last time when it starts, and caches the parsed history so an unchanged export loads instantly instead of being re-read.
  • Export to TXT (with a summary section), or export tracks, artists, albums and years to CSV.

Get Started

  1. Request your extended streaming history from Spotify. When it arrives, download and extract the ZIP.
  2. Download the latest Sortify.exe from the releases page and run it.
  3. Click Open Folder and pick the extracted folder (or click Run Analysis to choose individual JSON files, or drag & drop them onto the window).
  4. Browse the Overview, Tracks, Artists, Albums, Years, Podcasts, Trends and Insights tabs, adjust the filters on the left, and export your results if you want a copy.

Analysis is quick unless your history is unusually large.

Building from Source

You need the .NET 8 SDK.

dotnet run --project Sortify/Sortify.csproj
dotnet publish Sortify/Sortify.csproj -c Release -r win-x64

The published Sortify.exe lands in Sortify/bin/Release/net8.0-windows/win-x64/publish/.

To run the test suite:

dotnet test

Disclaimer

  • Sortify is not affiliated with Spotify.
  • Everything runs locally on your machine. The only files it writes outside your exports are a settings file and a cache of your parsed history, both in %LOCALAPPDATA%\Sortify; deleting that folder resets both.
  • Please review the code before you download and run it.

License

Released under the GNU AGPLv3 license.

About

A Windows desktop app that turns your Spotify extended streaming history into interactive stats, top tracks & artists, listening trends, and time-of-day breakdowns

Topics

csharpdata-analysisdata-visualizationdesktop-appdotnetlistening-historymusic-analyticsnet8offlinespotifyspotify-statsstreaming-historywpf

Resources

Readme
AGPL-3.0 license

Contributing

Contributing
Activity

Stars

2 stars

Watchers

1 watching

Forks

0 forks
Report repository

Releases

Used by

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
Repository files navigation
Sortify
CILatest releaseDownloads.NET 8Platform: WindowsLicense: AGPL v3
Sortify reads your Spotify streaming history and turns it into statistics you can explore. It shows your top tracks, artists and albums, how your listening changed over time and year by year, and how it breaks down by hour of the day and day of the week. It ships as a single portable .exe so there is no installation.
Features
  • Top tracks, artists and albums, ranked by listening time, play count, or the first time you played them.
  • Charts throughout the app: bar charts for top tracks, artists and albums, a donut showing each artist's share of your listening, a line chart of listening over time (daily, weekly or monthly), a day-of-week vs. hour-of-day heatmap, and breakdowns by hour and by day of the week.
  • A Years tab with a per-year rollup: listening time, plays, unique artists and tracks, and your top artist and track for every year.
  • A Podcasts tab covering podcasts and audiobooks: total time and plays, how many shows and episodes, top shows and top episodes, and sortable tables for both.
  • Insights: longest and current listening streaks, your biggest day, listening sessions (count, average and longest), weekday vs. weekend split, favorite time of day, skip rate, most skipped tracks, a chart of new artists discovered per month, and a donut of why plays ended (finished, skipped, and so on).
  • Playback context, also in Insights: your shuffle rate, how much you listened offline, and donuts breaking listening down by device (desktop, mobile, web player, speaker, car) and by country.
  • Sortable tables. Click any column header to reorder by that field; right-click a row to copy it or exclude that track/artist.
  • Double-click any track, artist or album row to open a detail view: listening time, plays, active days, first and last listen, a monthly chart, an hour-of-day profile, its tracks and albums, and a button that opens it in Spotify.
  • Filters that update every chart and table as you change them:

    • Minimum play duration. The default is five seconds, which drops skips.
    • Whether podcasts and audiobooks count toward your track, artist and album statistics. Off by default, since a few long shows will otherwise outrank your music. The Podcasts tab shows them either way.
    • Date range.
    • Search by track, artist or album name.
    • An exclude list for specific artists or tracks.
    • Time of day and day of week. Time ranges may cross midnight, for example 22:00 to 02:00.
  • Load data your way: pick individual JSON files (Ctrl+O), point at the extracted export folder (Open Folder, Ctrl+Shift+O), or just drag & drop the files or the whole folder onto the window.
  • Reads both the extended streaming history (Streaming_History_Audio_*.json) and the older account-data export (StreamingHistory*.json).
  • Reopens the folder you used last time when it starts, and caches the parsed history so an unchanged export loads instantly instead of being re-read.
  • Export to TXT (with a summary section), or export tracks, artists, albums and years to CSV.
Get Started
  1. Request your extended streaming history from Spotify. When it arrives, download and extract the ZIP.
  2. Download the latest Sortify.exe from the releases page and run it.
  3. Click Open Folder and pick the extracted folder (or click Run Analysis to choose individual JSON files, or drag & drop them onto the window).
  4. Browse the Overview, Tracks, Artists, Albums, Years, Podcasts, Trends and Insights tabs, adjust the filters on the left, and export your results if you want a copy.
Analysis is quick unless your history is unusually large.
Building from Source
You need the .NET 8 SDK.
dotnet run --project Sortify/Sortify.csproj
dotnet publish Sortify/Sortify.csproj -c Release -r win-x64
The published Sortify.exe lands in Sortify/bin/Release/net8.0-windows/win-x64/publish/.
To run the test suite:
dotnet test
Disclaimer
  • Sortify is not affiliated with Spotify.
  • Everything runs locally on your machine. The only files it writes outside your exports are a settings file and a cache of your parsed history, both in %LOCALAPPDATA%\Sortify; deleting that folder resets both.
  • Please review the code before you download and run it.
License
Released under the GNU AGPLv3 license.
About
A Windows desktop app that turns your Spotify extended streaming history into interactive stats, top tracks & artists, listening trends, and time-of-day breakdowns
Topics
csharpdata-analysisdata-visualizationdesktop-appdotnetlistening-historymusic-analyticsnet8offlinespotifyspotify-statsstreaming-historywpf
Resources
Readme
AGPL-3.0 license
Contributing
Contributing
Activity
Stars
2 stars
Watchers
1 watching
Forks
0 forks
Report repository
Releases
Used by
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
Sortify
CILatest releaseDownloads.NET 8Platform: WindowsLicense: AGPL v3
Sortify reads your Spotify streaming history and turns it into statistics you can explore. It shows your top tracks, artists and albums, how your listening changed over time and year by year, and how it breaks down by hour of the day and day of the week. It ships as a single portable .exe so there is no installation.
Features
  • Top tracks, artists and albums, ranked by listening time, play count, or the first time you played them.
  • Charts throughout the app: bar charts for top tracks, artists and albums, a donut showing each artist's share of your listening, a line chart of listening over time (daily, weekly or monthly), a day-of-week vs. hour-of-day heatmap, and breakdowns by hour and by day of the week.
  • A Years tab with a per-year rollup: listening time, plays, unique artists and tracks, and your top artist and track for every year.
  • A Podcasts tab covering podcasts and audiobooks: total time and plays, how many shows and episodes, top shows and top episodes, and sortable tables for both.
  • Insights: longest and current listening streaks, your biggest day, listening sessions (count, average and longest), weekday vs. weekend split, favorite time of day, skip rate, most skipped tracks, a chart of new artists discovered per month, and a donut of why plays ended (finished, skipped, and so on).
  • Playback context, also in Insights: your shuffle rate, how much you listened offline, and donuts breaking listening down by device (desktop, mobile, web player, speaker, car) and by country.
  • Sortable tables. Click any column header to reorder by that field; right-click a row to copy it or exclude that track/artist.
  • Double-click any track, artist or album row to open a detail view: listening time, plays, active days, first and last listen, a monthly chart, an hour-of-day profile, its tracks and albums, and a button that opens it in Spotify.
  • Filters that update every chart and table as you change them:

    • Minimum play duration. The default is five seconds, which drops skips.
    • Whether podcasts and audiobooks count toward your track, artist and album statistics. Off by default, since a few long shows will otherwise outrank your music. The Podcasts tab shows them either way.
    • Date range.
    • Search by track, artist or album name.
    • An exclude list for specific artists or tracks.
    • Time of day and day of week. Time ranges may cross midnight, for example 22:00 to 02:00.
  • Load data your way: pick individual JSON files (Ctrl+O), point at the extracted export folder (Open Folder, Ctrl+Shift+O), or just drag & drop the files or the whole folder onto the window.
  • Reads both the extended streaming history (Streaming_History_Audio_*.json) and the older account-data export (StreamingHistory*.json).
  • Reopens the folder you used last time when it starts, and caches the parsed history so an unchanged export loads instantly instead of being re-read.
  • Export to TXT (with a summary section), or export tracks, artists, albums and years to CSV.
Get Started
  1. Request your extended streaming history from Spotify. When it arrives, download and extract the ZIP.
  2. Download the latest Sortify.exe from the releases page and run it.
  3. Click Open Folder and pick the extracted folder (or click Run Analysis to choose individual JSON files, or drag & drop them onto the window).
  4. Browse the Overview, Tracks, Artists, Albums, Years, Podcasts, Trends and Insights tabs, adjust the filters on the left, and export your results if you want a copy.
Analysis is quick unless your history is unusually large.
Building from Source
You need the .NET 8 SDK.
dotnet run --project Sortify/Sortify.csproj
dotnet publish Sortify/Sortify.csproj -c Release -r win-x64
The published Sortify.exe lands in Sortify/bin/Release/net8.0-windows/win-x64/publish/.
To run the test suite:
dotnet test
Disclaimer
  • Sortify is not affiliated with Spotify.
  • Everything runs locally on your machine. The only files it writes outside your exports are a settings file and a cache of your parsed history, both in %LOCALAPPDATA%\Sortify; deleting that folder resets both.
  • Please review the code before you download and run it.
License
Released under the GNU AGPLv3 license.
About
A Windows desktop app that turns your Spotify extended streaming history into interactive stats, top tracks & artists, listening trends, and time-of-day breakdowns
Topics
csharpdata-analysisdata-visualizationdesktop-appdotnetlistening-historymusic-analyticsnet8offlinespotifyspotify-statsstreaming-historywpf
Resources
Readme
AGPL-3.0 license
Contributing
Contributing
Activity
Stars
2 stars
Watchers
1 watching
Forks
0 forks
Report repository
Releases
Used by
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
Sortify
CILatest releaseDownloads.NET 8Platform: WindowsLicense: AGPL v3
Sortify reads your Spotify streaming history and turns it into statistics you can explore. It shows your top tracks, artists and albums, how your listening changed over time and year by year, and how it breaks down by hour of the day and day of the week. It ships as a single portable .exe so there is no installation.
Features
  • Top tracks, artists and albums, ranked by listening time, play count, or the first time you played them.
  • Charts throughout the app: bar charts for top tracks, artists and albums, a donut showing each artist's share of your listening, a line chart of listening over time (daily, weekly or monthly), a day-of-week vs. hour-of-day heatmap, and breakdowns by hour and by day of the week.
  • A Years tab with a per-year rollup: listening time, plays, unique artists and tracks, and your top artist and track for every year.
  • A Podcasts tab covering podcasts and audiobooks: total time and plays, how many shows and episodes, top shows and top episodes, and sortable tables for both.
  • Insights: longest and current listening streaks, your biggest day, listening sessions (count, average and longest), weekday vs. weekend split, favorite time of day, skip rate, most skipped tracks, a chart of new artists discovered per month, and a donut of why plays ended (finished, skipped, and so on).
  • Playback context, also in Insights: your shuffle rate, how much you listened offline, and donuts breaking listening down by device (desktop, mobile, web player, speaker, car) and by country.
  • Sortable tables. Click any column header to reorder by that field; right-click a row to copy it or exclude that track/artist.
  • Double-click any track, artist or album row to open a detail view: listening time, plays, active days, first and last listen, a monthly chart, an hour-of-day profile, its tracks and albums, and a button that opens it in Spotify.
  • Filters that update every chart and table as you change them:

    • Minimum play duration. The default is five seconds, which drops skips.
    • Whether podcasts and audiobooks count toward your track, artist and album statistics. Off by default, since a few long shows will otherwise outrank your music. The Podcasts tab shows them either way.
    • Date range.
    • Search by track, artist or album name.
    • An exclude list for specific artists or tracks.
    • Time of day and day of week. Time ranges may cross midnight, for example 22:00 to 02:00.
  • Load data your way: pick individual JSON files (Ctrl+O), point at the extracted export folder (Open Folder, Ctrl+Shift+O), or just drag & drop the files or the whole folder onto the window.
  • Reads both the extended streaming history (Streaming_History_Audio_*.json) and the older account-data export (StreamingHistory*.json).
  • Reopens the folder you used last time when it starts, and caches the parsed history so an unchanged export loads instantly instead of being re-read.
  • Export to TXT (with a summary section), or export tracks, artists, albums and years to CSV.
Get Started
  1. Request your extended streaming history from Spotify. When it arrives, download and extract the ZIP.
  2. Download the latest Sortify.exe from the releases page and run it.
  3. Click Open Folder and pick the extracted folder (or click Run Analysis to choose individual JSON files, or drag & drop them onto the window).
  4. Browse the Overview, Tracks, Artists, Albums, Years, Podcasts, Trends and Insights tabs, adjust the filters on the left, and export your results if you want a copy.
Analysis is quick unless your history is unusually large.
Building from Source
You need the .NET 8 SDK.
dotnet run --project Sortify/Sortify.csproj
dotnet publish Sortify/Sortify.csproj -c Release -r win-x64
The published Sortify.exe lands in Sortify/bin/Release/net8.0-windows/win-x64/publish/.
To run the test suite:
dotnet test
Disclaimer
  • Sortify is not affiliated with Spotify.
  • Everything runs locally on your machine. The only files it writes outside your exports are a settings file and a cache of your parsed history, both in %LOCALAPPDATA%\Sortify; deleting that folder resets both.
  • Please review the code before you download and run it.
License
Released under the GNU AGPLv3 license.
About
A Windows desktop app that turns your Spotify extended streaming history into interactive stats, top tracks & artists, listening trends, and time-of-day breakdowns
Topics
csharpdata-analysisdata-visualizationdesktop-appdotnetlistening-historymusic-analyticsnet8offlinespotifyspotify-statsstreaming-historywpf
Resources
Readme
AGPL-3.0 license
Contributing
Contributing
Activity
Stars
2 stars
Watchers
1 watching
Forks
0 forks
Report repository
Releases
Used by
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
Sortify
CILatest releaseDownloads.NET 8Platform: WindowsLicense: AGPL v3
Sortify reads your Spotify streaming history and turns it into statistics you can explore. It shows your top tracks, artists and albums, how your listening changed over time and year by year, and how it breaks down by hour of the day and day of the week. It ships as a single portable .exe so there is no installation.
Features
  • Top tracks, artists and albums, ranked by listening time, play count, or the first time you played them.
  • Charts throughout the app: bar charts for top tracks, artists and albums, a donut showing each artist's share of your listening, a line chart of listening over time (daily, weekly or monthly), a day-of-week vs. hour-of-day heatmap, and breakdowns by hour and by day of the week.
  • A Years tab with a per-year rollup: listening time, plays, unique artists and tracks, and your top artist and track for every year.
  • A Podcasts tab covering podcasts and audiobooks: total time and plays, how many shows and episodes, top shows and top episodes, and sortable tables for both.
  • Insights: longest and current listening streaks, your biggest day, listening sessions (count, average and longest), weekday vs. weekend split, favorite time of day, skip rate, most skipped tracks, a chart of new artists discovered per month, and a donut of why plays ended (finished, skipped, and so on).
  • Playback context, also in Insights: your shuffle rate, how much you listened offline, and donuts breaking listening down by device (desktop, mobile, web player, speaker, car) and by country.
  • Sortable tables. Click any column header to reorder by that field; right-click a row to copy it or exclude that track/artist.
  • Double-click any track, artist or album row to open a detail view: listening time, plays, active days, first and last listen, a monthly chart, an hour-of-day profile, its tracks and albums, and a button that opens it in Spotify.
  • Filters that update every chart and table as you change them:

    • Minimum play duration. The default is five seconds, which drops skips.
    • Whether podcasts and audiobooks count toward your track, artist and album statistics. Off by default, since a few long shows will otherwise outrank your music. The Podcasts tab shows them either way.
    • Date range.
    • Search by track, artist or album name.
    • An exclude list for specific artists or tracks.
    • Time of day and day of week. Time ranges may cross midnight, for example 22:00 to 02:00.
  • Load data your way: pick individual JSON files (Ctrl+O), point at the extracted export folder (Open Folder, Ctrl+Shift+O), or just drag & drop the files or the whole folder onto the window.
  • Reads both the extended streaming history (Streaming_History_Audio_*.json) and the older account-data export (StreamingHistory*.json).
  • Reopens the folder you used last time when it starts, and caches the parsed history so an unchanged export loads instantly instead of being re-read.
  • Export to TXT (with a summary section), or export tracks, artists, albums and years to CSV.
Get Started
  1. Request your extended streaming history from Spotify. When it arrives, download and extract the ZIP.
  2. Download the latest Sortify.exe from the releases page and run it.
  3. Click Open Folder and pick the extracted folder (or click Run Analysis to choose individual JSON files, or drag & drop them onto the window).
  4. Browse the Overview, Tracks, Artists, Albums, Years, Podcasts, Trends and Insights tabs, adjust the filters on the left, and export your results if you want a copy.
Analysis is quick unless your history is unusually large.
Building from Source
You need the .NET 8 SDK.
dotnet run --project Sortify/Sortify.csproj
dotnet publish Sortify/Sortify.csproj -c Release -r win-x64
The published Sortify.exe lands in Sortify/bin/Release/net8.0-windows/win-x64/publish/.
To run the test suite:
dotnet test
Disclaimer
  • Sortify is not affiliated with Spotify.
  • Everything runs locally on your machine. The only files it writes outside your exports are a settings file and a cache of your parsed history, both in %LOCALAPPDATA%\Sortify; deleting that folder resets both.
  • Please review the code before you download and run it.
License
Released under the GNU AGPLv3 license.
About
A Windows desktop app that turns your Spotify extended streaming history into interactive stats, top tracks & artists, listening trends, and time-of-day breakdowns
Topics
csharpdata-analysisdata-visualizationdesktop-appdotnetlistening-historymusic-analyticsnet8offlinespotifyspotify-statsstreaming-historywpf
Resources
Readme
AGPL-3.0 license
Contributing
Contributing
Activity
Stars
2 stars
Watchers
1 watching
Forks
0 forks
Report repository
Releases
Used by
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('^' + ".*" + '

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Sortify
CILatest releaseDownloads.NET 8Platform: WindowsLicense: AGPL v3
Sortify reads your Spotify streaming history and turns it into statistics you can explore. It shows your top tracks, artists and albums, how your listening changed over time and year by year, and how it breaks down by hour of the day and day of the week. It ships as a single portable .exe so there is no installation.
Features
  • Top tracks, artists and albums, ranked by listening time, play count, or the first time you played them.
  • Charts throughout the app: bar charts for top tracks, artists and albums, a donut showing each artist's share of your listening, a line chart of listening over time (daily, weekly or monthly), a day-of-week vs. hour-of-day heatmap, and breakdowns by hour and by day of the week.
  • A Years tab with a per-year rollup: listening time, plays, unique artists and tracks, and your top artist and track for every year.
  • A Podcasts tab covering podcasts and audiobooks: total time and plays, how many shows and episodes, top shows and top episodes, and sortable tables for both.
  • Insights: longest and current listening streaks, your biggest day, listening sessions (count, average and longest), weekday vs. weekend split, favorite time of day, skip rate, most skipped tracks, a chart of new artists discovered per month, and a donut of why plays ended (finished, skipped, and so on).
  • Playback context, also in Insights: your shuffle rate, how much you listened offline, and donuts breaking listening down by device (desktop, mobile, web player, speaker, car) and by country.
  • Sortable tables. Click any column header to reorder by that field; right-click a row to copy it or exclude that track/artist.
  • Double-click any track, artist or album row to open a detail view: listening time, plays, active days, first and last listen, a monthly chart, an hour-of-day profile, its tracks and albums, and a button that opens it in Spotify.
  • Filters that update every chart and table as you change them:

    • Minimum play duration. The default is five seconds, which drops skips.
    • Whether podcasts and audiobooks count toward your track, artist and album statistics. Off by default, since a few long shows will otherwise outrank your music. The Podcasts tab shows them either way.
    • Date range.
    • Search by track, artist or album name.
    • An exclude list for specific artists or tracks.
    • Time of day and day of week. Time ranges may cross midnight, for example 22:00 to 02:00.
  • Load data your way: pick individual JSON files (Ctrl+O), point at the extracted export folder (Open Folder, Ctrl+Shift+O), or just drag & drop the files or the whole folder onto the window.
  • Reads both the extended streaming history (Streaming_History_Audio_*.json) and the older account-data export (StreamingHistory*.json).
  • Reopens the folder you used last time when it starts, and caches the parsed history so an unchanged export loads instantly instead of being re-read.
  • Export to TXT (with a summary section), or export tracks, artists, albums and years to CSV.
Get Started
  1. Request your extended streaming history from Spotify. When it arrives, download and extract the ZIP.
  2. Download the latest Sortify.exe from the releases page and run it.
  3. Click Open Folder and pick the extracted folder (or click Run Analysis to choose individual JSON files, or drag & drop them onto the window).
  4. Browse the Overview, Tracks, Artists, Albums, Years, Podcasts, Trends and Insights tabs, adjust the filters on the left, and export your results if you want a copy.
Analysis is quick unless your history is unusually large.
Building from Source
You need the .NET 8 SDK.
dotnet run --project Sortify/Sortify.csproj
dotnet publish Sortify/Sortify.csproj -c Release -r win-x64
The published Sortify.exe lands in Sortify/bin/Release/net8.0-windows/win-x64/publish/.
To run the test suite:
dotnet test
Disclaimer
  • Sortify is not affiliated with Spotify.
  • Everything runs locally on your machine. The only files it writes outside your exports are a settings file and a cache of your parsed history, both in %LOCALAPPDATA%\Sortify; deleting that folder resets both.
  • Please review the code before you download and run it.
License
Released under the GNU AGPLv3 license.
About
A Windows desktop app that turns your Spotify extended streaming history into interactive stats, top tracks & artists, listening trends, and time-of-day breakdowns
Topics
csharpdata-analysisdata-visualizationdesktop-appdotnetlistening-historymusic-analyticsnet8offlinespotifyspotify-statsstreaming-historywpf
Resources
Readme
AGPL-3.0 license
Contributing
Contributing
Activity
Stars
2 stars
Watchers
1 watching
Forks
0 forks
Report repository
Releases
Used by
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
Sortify
CILatest releaseDownloads.NET 8Platform: WindowsLicense: AGPL v3
Sortify reads your Spotify streaming history and turns it into statistics you can explore. It shows your top tracks, artists and albums, how your listening changed over time and year by year, and how it breaks down by hour of the day and day of the week. It ships as a single portable .exe so there is no installation.
Features
  • Top tracks, artists and albums, ranked by listening time, play count, or the first time you played them.
  • Charts throughout the app: bar charts for top tracks, artists and albums, a donut showing each artist's share of your listening, a line chart of listening over time (daily, weekly or monthly), a day-of-week vs. hour-of-day heatmap, and breakdowns by hour and by day of the week.
  • A Years tab with a per-year rollup: listening time, plays, unique artists and tracks, and your top artist and track for every year.
  • A Podcasts tab covering podcasts and audiobooks: total time and plays, how many shows and episodes, top shows and top episodes, and sortable tables for both.
  • Insights: longest and current listening streaks, your biggest day, listening sessions (count, average and longest), weekday vs. weekend split, favorite time of day, skip rate, most skipped tracks, a chart of new artists discovered per month, and a donut of why plays ended (finished, skipped, and so on).
  • Playback context, also in Insights: your shuffle rate, how much you listened offline, and donuts breaking listening down by device (desktop, mobile, web player, speaker, car) and by country.
  • Sortable tables. Click any column header to reorder by that field; right-click a row to copy it or exclude that track/artist.
  • Double-click any track, artist or album row to open a detail view: listening time, plays, active days, first and last listen, a monthly chart, an hour-of-day profile, its tracks and albums, and a button that opens it in Spotify.
  • Filters that update every chart and table as you change them:

    • Minimum play duration. The default is five seconds, which drops skips.
    • Whether podcasts and audiobooks count toward your track, artist and album statistics. Off by default, since a few long shows will otherwise outrank your music. The Podcasts tab shows them either way.
    • Date range.
    • Search by track, artist or album name.
    • An exclude list for specific artists or tracks.
    • Time of day and day of week. Time ranges may cross midnight, for example 22:00 to 02:00.
  • Load data your way: pick individual JSON files (Ctrl+O), point at the extracted export folder (Open Folder, Ctrl+Shift+O), or just drag & drop the files or the whole folder onto the window.
  • Reads both the extended streaming history (Streaming_History_Audio_*.json) and the older account-data export (StreamingHistory*.json).
  • Reopens the folder you used last time when it starts, and caches the parsed history so an unchanged export loads instantly instead of being re-read.
  • Export to TXT (with a summary section), or export tracks, artists, albums and years to CSV.
Get Started
  1. Request your extended streaming history from Spotify. When it arrives, download and extract the ZIP.
  2. Download the latest Sortify.exe from the releases page and run it.
  3. Click Open Folder and pick the extracted folder (or click Run Analysis to choose individual JSON files, or drag & drop them onto the window).
  4. Browse the Overview, Tracks, Artists, Albums, Years, Podcasts, Trends and Insights tabs, adjust the filters on the left, and export your results if you want a copy.
Analysis is quick unless your history is unusually large.
Building from Source
You need the .NET 8 SDK.
dotnet run --project Sortify/Sortify.csproj
dotnet publish Sortify/Sortify.csproj -c Release -r win-x64
The published Sortify.exe lands in Sortify/bin/Release/net8.0-windows/win-x64/publish/.
To run the test suite:
dotnet test
Disclaimer
  • Sortify is not affiliated with Spotify.
  • Everything runs locally on your machine. The only files it writes outside your exports are a settings file and a cache of your parsed history, both in %LOCALAPPDATA%\Sortify; deleting that folder resets both.
  • Please review the code before you download and run it.
License
Released under the GNU AGPLv3 license.
About
A Windows desktop app that turns your Spotify extended streaming history into interactive stats, top tracks & artists, listening trends, and time-of-day breakdowns
Topics
csharpdata-analysisdata-visualizationdesktop-appdotnetlistening-historymusic-analyticsnet8offlinespotifyspotify-statsstreaming-historywpf
Resources
Readme
AGPL-3.0 license
Contributing
Contributing
Activity
Stars
2 stars
Watchers
1 watching
Forks
0 forks
Report repository
Releases
Used by
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
Sortify
CILatest releaseDownloads.NET 8Platform: WindowsLicense: AGPL v3
Sortify reads your Spotify streaming history and turns it into statistics you can explore. It shows your top tracks, artists and albums, how your listening changed over time and year by year, and how it breaks down by hour of the day and day of the week. It ships as a single portable .exe so there is no installation.
Features
  • Top tracks, artists and albums, ranked by listening time, play count, or the first time you played them.
  • Charts throughout the app: bar charts for top tracks, artists and albums, a donut showing each artist's share of your listening, a line chart of listening over time (daily, weekly or monthly), a day-of-week vs. hour-of-day heatmap, and breakdowns by hour and by day of the week.
  • A Years tab with a per-year rollup: listening time, plays, unique artists and tracks, and your top artist and track for every year.
  • A Podcasts tab covering podcasts and audiobooks: total time and plays, how many shows and episodes, top shows and top episodes, and sortable tables for both.
  • Insights: longest and current listening streaks, your biggest day, listening sessions (count, average and longest), weekday vs. weekend split, favorite time of day, skip rate, most skipped tracks, a chart of new artists discovered per month, and a donut of why plays ended (finished, skipped, and so on).
  • Playback context, also in Insights: your shuffle rate, how much you listened offline, and donuts breaking listening down by device (desktop, mobile, web player, speaker, car) and by country.
  • Sortable tables. Click any column header to reorder by that field; right-click a row to copy it or exclude that track/artist.
  • Double-click any track, artist or album row to open a detail view: listening time, plays, active days, first and last listen, a monthly chart, an hour-of-day profile, its tracks and albums, and a button that opens it in Spotify.
  • Filters that update every chart and table as you change them:

    • Minimum play duration. The default is five seconds, which drops skips.
    • Whether podcasts and audiobooks count toward your track, artist and album statistics. Off by default, since a few long shows will otherwise outrank your music. The Podcasts tab shows them either way.
    • Date range.
    • Search by track, artist or album name.
    • An exclude list for specific artists or tracks.
    • Time of day and day of week. Time ranges may cross midnight, for example 22:00 to 02:00.
  • Load data your way: pick individual JSON files (Ctrl+O), point at the extracted export folder (Open Folder, Ctrl+Shift+O), or just drag & drop the files or the whole folder onto the window.
  • Reads both the extended streaming history (Streaming_History_Audio_*.json) and the older account-data export (StreamingHistory*.json).
  • Reopens the folder you used last time when it starts, and caches the parsed history so an unchanged export loads instantly instead of being re-read.
  • Export to TXT (with a summary section), or export tracks, artists, albums and years to CSV.
Get Started
  1. Request your extended streaming history from Spotify. When it arrives, download and extract the ZIP.
  2. Download the latest Sortify.exe from the releases page and run it.
  3. Click Open Folder and pick the extracted folder (or click Run Analysis to choose individual JSON files, or drag & drop them onto the window).
  4. Browse the Overview, Tracks, Artists, Albums, Years, Podcasts, Trends and Insights tabs, adjust the filters on the left, and export your results if you want a copy.
Analysis is quick unless your history is unusually large.
Building from Source
You need the .NET 8 SDK.
dotnet run --project Sortify/Sortify.csproj
dotnet publish Sortify/Sortify.csproj -c Release -r win-x64
The published Sortify.exe lands in Sortify/bin/Release/net8.0-windows/win-x64/publish/.
To run the test suite:
dotnet test
Disclaimer
  • Sortify is not affiliated with Spotify.
  • Everything runs locally on your machine. The only files it writes outside your exports are a settings file and a cache of your parsed history, both in %LOCALAPPDATA%\Sortify; deleting that folder resets both.
  • Please review the code before you download and run it.
License
Released under the GNU AGPLv3 license.
About
A Windows desktop app that turns your Spotify extended streaming history into interactive stats, top tracks & artists, listening trends, and time-of-day breakdowns
Topics
csharpdata-analysisdata-visualizationdesktop-appdotnetlistening-historymusic-analyticsnet8offlinespotifyspotify-statsstreaming-historywpf
Resources
Readme
AGPL-3.0 license
Contributing
Contributing
Activity
Stars
2 stars
Watchers
1 watching
Forks
0 forks
Report repository
Releases
Used by
Contributors
Languages