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Some of you read the news about EverythingMe closing down. While more detailed announcement will come later (once more details are clear), I just wanted to reassure you that you shouldn't worry -- this won't affect the future of re:dash. I will keep maintaining re:dash, and might even be able to work more on it.

If you still have concerns, you're welcome to reach out to me directly -- arik@arikfr.com.

Arik.

re:dash is our take on freeing the data within our company in a way that will better fit our culture and usage patterns.

Prior to re:dash, we tried to use traditional BI suites and discovered a set of bloated, technically challenged and slow tools/flows. What we were looking for was a more hacker'ish way to look at data, so we built one.

re:dash was built to allow fast and easy access to billions of records, that we process and collect using Amazon Redshift ("petabyte scale data warehouse" that "speaks" PostgreSQL). Today re:dash has support for querying multiple databases, including: Redshift, Google BigQuery, PostgreSQL, MySQL, Graphite, Presto, Google Spreadsheets, Cloudera Impala, Hive and custom scripts.

re:dash consists of two parts:

  1. Query Editor: think of JS Fiddle for SQL queries. It's your way to share data in the organization in an open way, by sharing both the dataset and the query that generated it. This way everyone can peer review not only the resulting dataset but also the process that generated it. Also it's possible to fork it and generate new datasets and reach new insights.
  2. Dashboards/Visualizations: once you have a dataset, you can create different visualizations out of it, and then combine several visualizations into a single dashboard. Currently it supports charts, pivot table and cohorts.

re:dash is a work in progress and has its rough edges and way to go to fulfill its full potential. The Query Editor part is quite solid, but the visualizations need more work to enrich them and to make them more user friendly.

Demo

Screenshots

You can try out the demo instance: http://demo.redash.io/ (login with any Google account).

Getting Started

Getting help

Reporting Bugs and Contributing Code

  • Want to report a bug or request a feature? Please open an issue.
  • Want to help us build re:dash? Fork the project and make a pull request. We need all the help we can get!

License

See LICENSE file.

About

Open Soure Data Collaboration Platform. Connect to any data source, visualize your data and share it with anyone!

redash.io/

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Readme
License
Activity

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1 watching

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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" + '

Skip to content
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Some of you read the news about EverythingMe closing down. While more detailed announcement will come later (once more details are clear), I just wanted to reassure you that you shouldn't worry -- this won't affect the future of re:dash. I will keep maintaining re:dash, and might even be able to work more on it.
If you still have concerns, you're welcome to reach out to me directly -- arik@arikfr.com.
Arik.
re:dash is our take on freeing the data within our company in a way that will better fit our culture and usage patterns.
Prior to re:dash, we tried to use traditional BI suites and discovered a set of bloated, technically challenged and slow tools/flows. What we were looking for was a more hacker'ish way to look at data, so we built one.
re:dash was built to allow fast and easy access to billions of records, that we process and collect using Amazon Redshift ("petabyte scale data warehouse" that "speaks" PostgreSQL).
Today re:dash has support for querying multiple databases, including: Redshift, Google BigQuery, PostgreSQL, MySQL, Graphite,
Presto, Google Spreadsheets, Cloudera Impala, Hive and custom scripts.
re:dash consists of two parts:
  1. Query Editor: think of JS Fiddle for SQL queries. It's your way to share data in the organization in an open way, by sharing both the dataset and the query that generated it. This way everyone can peer review not only the resulting dataset but also the process that generated it. Also it's possible to fork it and generate new datasets and reach new insights.
  2. Dashboards/Visualizations: once you have a dataset, you can create different visualizations out of it, and then combine several visualizations into a single dashboard. Currently it supports charts, pivot table and cohorts.
re:dash is a work in progress and has its rough edges and way to go to fulfill its full potential. The Query Editor part is quite solid, but the visualizations need more work to enrich them and to make them more user friendly.
Demo
Screenshots
You can try out the demo instance: http://demo.redash.io/ (login with any Google account).
Getting Started
Getting help
Reporting Bugs and Contributing Code
  • Want to report a bug or request a feature? Please open an issue.
  • Want to help us build re:dash? Fork the project and make a pull request. We need all the help we can get!
License
See LICENSE file.
About
Open Soure Data Collaboration Platform. Connect to any data source, visualize your data and share it with anyone!
redash.io/
Resources
Readme
License
Activity
Stars
0 stars
Watchers
1 watching
Forks
0 forks
Report repository
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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('^' + ".*" + '

Skip to content
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Some of you read the news about EverythingMe closing down. While more detailed announcement will come later (once more details are clear), I just wanted to reassure you that you shouldn't worry -- this won't affect the future of re:dash. I will keep maintaining re:dash, and might even be able to work more on it.
If you still have concerns, you're welcome to reach out to me directly -- arik@arikfr.com.
Arik.
re:dash is our take on freeing the data within our company in a way that will better fit our culture and usage patterns.
Prior to re:dash, we tried to use traditional BI suites and discovered a set of bloated, technically challenged and slow tools/flows. What we were looking for was a more hacker'ish way to look at data, so we built one.
re:dash was built to allow fast and easy access to billions of records, that we process and collect using Amazon Redshift ("petabyte scale data warehouse" that "speaks" PostgreSQL).
Today re:dash has support for querying multiple databases, including: Redshift, Google BigQuery, PostgreSQL, MySQL, Graphite,
Presto, Google Spreadsheets, Cloudera Impala, Hive and custom scripts.
re:dash consists of two parts:
  1. Query Editor: think of JS Fiddle for SQL queries. It's your way to share data in the organization in an open way, by sharing both the dataset and the query that generated it. This way everyone can peer review not only the resulting dataset but also the process that generated it. Also it's possible to fork it and generate new datasets and reach new insights.
  2. Dashboards/Visualizations: once you have a dataset, you can create different visualizations out of it, and then combine several visualizations into a single dashboard. Currently it supports charts, pivot table and cohorts.
re:dash is a work in progress and has its rough edges and way to go to fulfill its full potential. The Query Editor part is quite solid, but the visualizations need more work to enrich them and to make them more user friendly.
Demo
Screenshots
You can try out the demo instance: http://demo.redash.io/ (login with any Google account).
Getting Started
Getting help
Reporting Bugs and Contributing Code
  • Want to report a bug or request a feature? Please open an issue.
  • Want to help us build re:dash? Fork the project and make a pull request. We need all the help we can get!
License
See LICENSE file.
About
Open Soure Data Collaboration Platform. Connect to any data source, visualize your data and share it with anyone!
redash.io/
Resources
Readme
License
Activity
Stars
0 stars
Watchers
1 watching
Forks
0 forks
Report repository
Releases
Packages
Contributors
Languages

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

Skip to content
BranchesTags
Repository files navigation
Some of you read the news about EverythingMe closing down. While more detailed announcement will come later (once more details are clear), I just wanted to reassure you that you shouldn't worry -- this won't affect the future of re:dash. I will keep maintaining re:dash, and might even be able to work more on it.
If you still have concerns, you're welcome to reach out to me directly -- arik@arikfr.com.
Arik.
re:dash is our take on freeing the data within our company in a way that will better fit our culture and usage patterns.
Prior to re:dash, we tried to use traditional BI suites and discovered a set of bloated, technically challenged and slow tools/flows. What we were looking for was a more hacker'ish way to look at data, so we built one.
re:dash was built to allow fast and easy access to billions of records, that we process and collect using Amazon Redshift ("petabyte scale data warehouse" that "speaks" PostgreSQL).
Today re:dash has support for querying multiple databases, including: Redshift, Google BigQuery, PostgreSQL, MySQL, Graphite,
Presto, Google Spreadsheets, Cloudera Impala, Hive and custom scripts.
re:dash consists of two parts:
  1. Query Editor: think of JS Fiddle for SQL queries. It's your way to share data in the organization in an open way, by sharing both the dataset and the query that generated it. This way everyone can peer review not only the resulting dataset but also the process that generated it. Also it's possible to fork it and generate new datasets and reach new insights.
  2. Dashboards/Visualizations: once you have a dataset, you can create different visualizations out of it, and then combine several visualizations into a single dashboard. Currently it supports charts, pivot table and cohorts.
re:dash is a work in progress and has its rough edges and way to go to fulfill its full potential. The Query Editor part is quite solid, but the visualizations need more work to enrich them and to make them more user friendly.
Demo
Screenshots
You can try out the demo instance: http://demo.redash.io/ (login with any Google account).
Getting Started
Getting help
Reporting Bugs and Contributing Code
  • Want to report a bug or request a feature? Please open an issue.
  • Want to help us build re:dash? Fork the project and make a pull request. We need all the help we can get!
License
See LICENSE file.
About
Open Soure Data Collaboration Platform. Connect to any data source, visualize your data and share it with anyone!
redash.io/
Resources
Readme
License
Activity
Stars
0 stars
Watchers
1 watching
Forks
0 forks
Report repository
Releases
Packages
Contributors
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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" + '

Skip to content
BranchesTags
Repository files navigation
Some of you read the news about EverythingMe closing down. While more detailed announcement will come later (once more details are clear), I just wanted to reassure you that you shouldn't worry -- this won't affect the future of re:dash. I will keep maintaining re:dash, and might even be able to work more on it.
If you still have concerns, you're welcome to reach out to me directly -- arik@arikfr.com.
Arik.
re:dash is our take on freeing the data within our company in a way that will better fit our culture and usage patterns.
Prior to re:dash, we tried to use traditional BI suites and discovered a set of bloated, technically challenged and slow tools/flows. What we were looking for was a more hacker'ish way to look at data, so we built one.
re:dash was built to allow fast and easy access to billions of records, that we process and collect using Amazon Redshift ("petabyte scale data warehouse" that "speaks" PostgreSQL).
Today re:dash has support for querying multiple databases, including: Redshift, Google BigQuery, PostgreSQL, MySQL, Graphite,
Presto, Google Spreadsheets, Cloudera Impala, Hive and custom scripts.
re:dash consists of two parts:
  1. Query Editor: think of JS Fiddle for SQL queries. It's your way to share data in the organization in an open way, by sharing both the dataset and the query that generated it. This way everyone can peer review not only the resulting dataset but also the process that generated it. Also it's possible to fork it and generate new datasets and reach new insights.
  2. Dashboards/Visualizations: once you have a dataset, you can create different visualizations out of it, and then combine several visualizations into a single dashboard. Currently it supports charts, pivot table and cohorts.
re:dash is a work in progress and has its rough edges and way to go to fulfill its full potential. The Query Editor part is quite solid, but the visualizations need more work to enrich them and to make them more user friendly.
Demo
Screenshots
You can try out the demo instance: http://demo.redash.io/ (login with any Google account).
Getting Started
Getting help
Reporting Bugs and Contributing Code
  • Want to report a bug or request a feature? Please open an issue.
  • Want to help us build re:dash? Fork the project and make a pull request. We need all the help we can get!
License
See LICENSE file.
About
Open Soure Data Collaboration Platform. Connect to any data source, visualize your data and share it with anyone!
redash.io/
Resources
Readme
License
Activity
Stars
0 stars
Watchers
1 watching
Forks
0 forks
Report repository
Releases
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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('^' + ".*" + '

Skip to content
BranchesTags
Repository files navigation
Some of you read the news about EverythingMe closing down. While more detailed announcement will come later (once more details are clear), I just wanted to reassure you that you shouldn't worry -- this won't affect the future of re:dash. I will keep maintaining re:dash, and might even be able to work more on it.
If you still have concerns, you're welcome to reach out to me directly -- arik@arikfr.com.
Arik.
re:dash is our take on freeing the data within our company in a way that will better fit our culture and usage patterns.
Prior to re:dash, we tried to use traditional BI suites and discovered a set of bloated, technically challenged and slow tools/flows. What we were looking for was a more hacker'ish way to look at data, so we built one.
re:dash was built to allow fast and easy access to billions of records, that we process and collect using Amazon Redshift ("petabyte scale data warehouse" that "speaks" PostgreSQL).
Today re:dash has support for querying multiple databases, including: Redshift, Google BigQuery, PostgreSQL, MySQL, Graphite,
Presto, Google Spreadsheets, Cloudera Impala, Hive and custom scripts.
re:dash consists of two parts:
  1. Query Editor: think of JS Fiddle for SQL queries. It's your way to share data in the organization in an open way, by sharing both the dataset and the query that generated it. This way everyone can peer review not only the resulting dataset but also the process that generated it. Also it's possible to fork it and generate new datasets and reach new insights.
  2. Dashboards/Visualizations: once you have a dataset, you can create different visualizations out of it, and then combine several visualizations into a single dashboard. Currently it supports charts, pivot table and cohorts.
re:dash is a work in progress and has its rough edges and way to go to fulfill its full potential. The Query Editor part is quite solid, but the visualizations need more work to enrich them and to make them more user friendly.
Demo
Screenshots
You can try out the demo instance: http://demo.redash.io/ (login with any Google account).
Getting Started
Getting help
Reporting Bugs and Contributing Code
  • Want to report a bug or request a feature? Please open an issue.
  • Want to help us build re:dash? Fork the project and make a pull request. We need all the help we can get!
License
See LICENSE file.
About
Open Soure Data Collaboration Platform. Connect to any data source, visualize your data and share it with anyone!
redash.io/
Resources
Readme
License
Activity
Stars
0 stars
Watchers
1 watching
Forks
0 forks
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
Some of you read the news about EverythingMe closing down. While more detailed announcement will come later (once more details are clear), I just wanted to reassure you that you shouldn't worry -- this won't affect the future of re:dash. I will keep maintaining re:dash, and might even be able to work more on it.
If you still have concerns, you're welcome to reach out to me directly -- arik@arikfr.com.
Arik.
re:dash is our take on freeing the data within our company in a way that will better fit our culture and usage patterns.
Prior to re:dash, we tried to use traditional BI suites and discovered a set of bloated, technically challenged and slow tools/flows. What we were looking for was a more hacker'ish way to look at data, so we built one.
re:dash was built to allow fast and easy access to billions of records, that we process and collect using Amazon Redshift ("petabyte scale data warehouse" that "speaks" PostgreSQL).
Today re:dash has support for querying multiple databases, including: Redshift, Google BigQuery, PostgreSQL, MySQL, Graphite,
Presto, Google Spreadsheets, Cloudera Impala, Hive and custom scripts.
re:dash consists of two parts:
  1. Query Editor: think of JS Fiddle for SQL queries. It's your way to share data in the organization in an open way, by sharing both the dataset and the query that generated it. This way everyone can peer review not only the resulting dataset but also the process that generated it. Also it's possible to fork it and generate new datasets and reach new insights.
  2. Dashboards/Visualizations: once you have a dataset, you can create different visualizations out of it, and then combine several visualizations into a single dashboard. Currently it supports charts, pivot table and cohorts.
re:dash is a work in progress and has its rough edges and way to go to fulfill its full potential. The Query Editor part is quite solid, but the visualizations need more work to enrich them and to make them more user friendly.
Demo
Screenshots
You can try out the demo instance: http://demo.redash.io/ (login with any Google account).
Getting Started
Getting help
Reporting Bugs and Contributing Code
  • Want to report a bug or request a feature? Please open an issue.
  • Want to help us build re:dash? Fork the project and make a pull request. We need all the help we can get!
License
See LICENSE file.
About
Open Soure Data Collaboration Platform. Connect to any data source, visualize your data and share it with anyone!
redash.io/
Resources
Readme
License
Activity
Stars
0 stars
Watchers
1 watching
Forks
0 forks
Report repository
Releases
Packages
Contributors
Languages

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

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Some of you read the news about EverythingMe closing down. While more detailed announcement will come later (once more details are clear), I just wanted to reassure you that you shouldn't worry -- this won't affect the future of re:dash. I will keep maintaining re:dash, and might even be able to work more on it.
If you still have concerns, you're welcome to reach out to me directly -- arik@arikfr.com.
Arik.
re:dash is our take on freeing the data within our company in a way that will better fit our culture and usage patterns.
Prior to re:dash, we tried to use traditional BI suites and discovered a set of bloated, technically challenged and slow tools/flows. What we were looking for was a more hacker'ish way to look at data, so we built one.
re:dash was built to allow fast and easy access to billions of records, that we process and collect using Amazon Redshift ("petabyte scale data warehouse" that "speaks" PostgreSQL).
Today re:dash has support for querying multiple databases, including: Redshift, Google BigQuery, PostgreSQL, MySQL, Graphite,
Presto, Google Spreadsheets, Cloudera Impala, Hive and custom scripts.
re:dash consists of two parts:
  1. Query Editor: think of JS Fiddle for SQL queries. It's your way to share data in the organization in an open way, by sharing both the dataset and the query that generated it. This way everyone can peer review not only the resulting dataset but also the process that generated it. Also it's possible to fork it and generate new datasets and reach new insights.
  2. Dashboards/Visualizations: once you have a dataset, you can create different visualizations out of it, and then combine several visualizations into a single dashboard. Currently it supports charts, pivot table and cohorts.
re:dash is a work in progress and has its rough edges and way to go to fulfill its full potential. The Query Editor part is quite solid, but the visualizations need more work to enrich them and to make them more user friendly.
Demo
Screenshots
You can try out the demo instance: http://demo.redash.io/ (login with any Google account).
Getting Started
Getting help
Reporting Bugs and Contributing Code
  • Want to report a bug or request a feature? Please open an issue.
  • Want to help us build re:dash? Fork the project and make a pull request. We need all the help we can get!
License
See LICENSE file.
About
Open Soure Data Collaboration Platform. Connect to any data source, visualize your data and share it with anyone!
redash.io/
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