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Querybook

Build StatusLicenseSlack

Querybook is a Big Data IDE that allows you to discover, create, and share data analyses, queries, and tables. Check out the full documentation & feature highlights here.

Features

  • 📚 Organize analyses with rich text, queries, and charts
  • ✏️ Compose queries with autocompletion and hovering tooltip
  • 📈 Use scheduling + charting in DataDocs to build dashboards
  • 🙌 Live query collaborations with others
  • 📝 Add additional documentation to your tables
  • 🧮 Get lineage, sample queries, frequent user, search ranking based on past query runs

Getting started

Prerequisite

Please install Docker before trying out Querybook.

Quick setup

Pull this repo and run make. Visit https://localhost:10001 when the build completes.

For more details on installation, click here

Configuration

For infrastructure configuration, click here For general configuration, click here

Supported Integrations

Query Engines

Authentication

  • User/Password
  • OAuth
    • Google Cloud OAuth
    • Okta OAuth
    • GitHub OAuth
    • Auth0 OAuth
  • LDAP

Metastore

Can be used to fetch schema and table information for metadata enrichment.

  • Hive Metastore
  • Sqlalchemy Inspect
  • AWS Glue Data Catalog

Result Storage

Use one of the following to store query results.

  • Database (MySQL, Postgres, etc)
  • S3
  • Google Cloud Storage
  • Local file

Result Export

Upload query results from Querybook to other tools for further analyses.

  • Google Sheets Export
  • Python export

Notification

Get notified upon completion of queries and DataDoc invitations via IM or email.

  • Email
  • Slack

User Interface

Query Editor

Charting

Scheduling

Lineage & Analytics

Contributing Back

See CONTRIBUTING.

About

Querybook is a Big Data Querying UI, combining collocated table metadata and a simple notebook interface.

Resources

Code of conduct

Contributing

Security policy

Stars

0 stars

Watchers

0 watching

Forks

Releases

Packages

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" + '
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Latest commit

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962 Commits

Folders and files

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Querybook

Build StatusLicenseSlack

Querybook is a Big Data IDE that allows you to discover, create, and share data analyses, queries, and tables. Check out the full documentation & feature highlights here.

Features

  • 📚 Organize analyses with rich text, queries, and charts
  • ✏️ Compose queries with autocompletion and hovering tooltip
  • 📈 Use scheduling + charting in DataDocs to build dashboards
  • 🙌 Live query collaborations with others
  • 📝 Add additional documentation to your tables
  • 🧮 Get lineage, sample queries, frequent user, search ranking based on past query runs

Getting started

Prerequisite

Please install Docker before trying out Querybook.

Quick setup

Pull this repo and run make. Visit https://localhost:10001 when the build completes.

For more details on installation, click here

Configuration

For infrastructure configuration, click here For general configuration, click here

Supported Integrations

Query Engines

Authentication

  • User/Password
  • OAuth
    • Google Cloud OAuth
    • Okta OAuth
    • GitHub OAuth
    • Auth0 OAuth
  • LDAP

Metastore

Can be used to fetch schema and table information for metadata enrichment.

  • Hive Metastore
  • Sqlalchemy Inspect
  • AWS Glue Data Catalog

Result Storage

Use one of the following to store query results.

  • Database (MySQL, Postgres, etc)
  • S3
  • Google Cloud Storage
  • Local file

Result Export

Upload query results from Querybook to other tools for further analyses.

  • Google Sheets Export
  • Python export

Notification

Get notified upon completion of queries and DataDoc invitations via IM or email.

  • Email
  • Slack

User Interface

Query Editor

Charting

Scheduling

Lineage & Analytics

Contributing Back

See CONTRIBUTING.

About

Querybook is a Big Data Querying UI, combining collocated table metadata and a simple notebook interface.

Resources

Code of conduct

Contributing

Security policy

Stars

0 stars

Watchers

0 watching

Forks

Releases

Packages

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('^' + ".*" + '
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This repository was archived by the owner on Jul 14, 2026. It is now read-only.

Latest commit

History

962 Commits

Folders and files

NameName
Last commit message
Last commit date

Repository files navigation

Querybook

Build StatusLicenseSlack

Querybook is a Big Data IDE that allows you to discover, create, and share data analyses, queries, and tables. Check out the full documentation & feature highlights here.

Features

  • 📚 Organize analyses with rich text, queries, and charts
  • ✏️ Compose queries with autocompletion and hovering tooltip
  • 📈 Use scheduling + charting in DataDocs to build dashboards
  • 🙌 Live query collaborations with others
  • 📝 Add additional documentation to your tables
  • 🧮 Get lineage, sample queries, frequent user, search ranking based on past query runs

Getting started

Prerequisite

Please install Docker before trying out Querybook.

Quick setup

Pull this repo and run make. Visit https://localhost:10001 when the build completes.

For more details on installation, click here

Configuration

For infrastructure configuration, click here For general configuration, click here

Supported Integrations

Query Engines

Authentication

  • User/Password
  • OAuth
    • Google Cloud OAuth
    • Okta OAuth
    • GitHub OAuth
    • Auth0 OAuth
  • LDAP

Metastore

Can be used to fetch schema and table information for metadata enrichment.

  • Hive Metastore
  • Sqlalchemy Inspect
  • AWS Glue Data Catalog

Result Storage

Use one of the following to store query results.

  • Database (MySQL, Postgres, etc)
  • S3
  • Google Cloud Storage
  • Local file

Result Export

Upload query results from Querybook to other tools for further analyses.

  • Google Sheets Export
  • Python export

Notification

Get notified upon completion of queries and DataDoc invitations via IM or email.

  • Email
  • Slack

User Interface

Query Editor

Charting

Scheduling

Lineage & Analytics

Contributing Back

See CONTRIBUTING.

About

Querybook is a Big Data Querying UI, combining collocated table metadata and a simple notebook interface.

Resources

Code of conduct

Contributing

Security policy

Stars

0 stars

Watchers

0 watching

Forks

Releases

Packages

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('^' + ".*" + '
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This repository was archived by the owner on Jul 14, 2026. It is now read-only.

Latest commit

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962 Commits

Folders and files

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Querybook

Build StatusLicenseSlack

Querybook is a Big Data IDE that allows you to discover, create, and share data analyses, queries, and tables. Check out the full documentation & feature highlights here.

Features

  • 📚 Organize analyses with rich text, queries, and charts
  • ✏️ Compose queries with autocompletion and hovering tooltip
  • 📈 Use scheduling + charting in DataDocs to build dashboards
  • 🙌 Live query collaborations with others
  • 📝 Add additional documentation to your tables
  • 🧮 Get lineage, sample queries, frequent user, search ranking based on past query runs

Getting started

Prerequisite

Please install Docker before trying out Querybook.

Quick setup

Pull this repo and run make. Visit https://localhost:10001 when the build completes.

For more details on installation, click here

Configuration

For infrastructure configuration, click here For general configuration, click here

Supported Integrations

Query Engines

Authentication

  • User/Password
  • OAuth
    • Google Cloud OAuth
    • Okta OAuth
    • GitHub OAuth
    • Auth0 OAuth
  • LDAP

Metastore

Can be used to fetch schema and table information for metadata enrichment.

  • Hive Metastore
  • Sqlalchemy Inspect
  • AWS Glue Data Catalog

Result Storage

Use one of the following to store query results.

  • Database (MySQL, Postgres, etc)
  • S3
  • Google Cloud Storage
  • Local file

Result Export

Upload query results from Querybook to other tools for further analyses.

  • Google Sheets Export
  • Python export

Notification

Get notified upon completion of queries and DataDoc invitations via IM or email.

  • Email
  • Slack

User Interface

Query Editor

Charting

Scheduling

Lineage & Analytics

Contributing Back

See CONTRIBUTING.

About

Querybook is a Big Data Querying UI, combining collocated table metadata and a simple notebook interface.

Resources

Code of conduct

Contributing

Security policy

Stars

0 stars

Watchers

0 watching

Forks

Releases

Packages

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
This repository was archived by the owner on Jul 14, 2026. It is now read-only.

Latest commit

History

962 Commits

Folders and files

NameName
Last commit message
Last commit date

Repository files navigation

Querybook

Build StatusLicenseSlack

Querybook is a Big Data IDE that allows you to discover, create, and share data analyses, queries, and tables. Check out the full documentation & feature highlights here.

Features

  • 📚 Organize analyses with rich text, queries, and charts
  • ✏️ Compose queries with autocompletion and hovering tooltip
  • 📈 Use scheduling + charting in DataDocs to build dashboards
  • 🙌 Live query collaborations with others
  • 📝 Add additional documentation to your tables
  • 🧮 Get lineage, sample queries, frequent user, search ranking based on past query runs

Getting started

Prerequisite

Please install Docker before trying out Querybook.

Quick setup

Pull this repo and run make. Visit https://localhost:10001 when the build completes.

For more details on installation, click here

Configuration

For infrastructure configuration, click here For general configuration, click here

Supported Integrations

Query Engines

Authentication

  • User/Password
  • OAuth
    • Google Cloud OAuth
    • Okta OAuth
    • GitHub OAuth
    • Auth0 OAuth
  • LDAP

Metastore

Can be used to fetch schema and table information for metadata enrichment.

  • Hive Metastore
  • Sqlalchemy Inspect
  • AWS Glue Data Catalog

Result Storage

Use one of the following to store query results.

  • Database (MySQL, Postgres, etc)
  • S3
  • Google Cloud Storage
  • Local file

Result Export

Upload query results from Querybook to other tools for further analyses.

  • Google Sheets Export
  • Python export

Notification

Get notified upon completion of queries and DataDoc invitations via IM or email.

  • Email
  • Slack

User Interface

Query Editor

Charting

Scheduling

Lineage & Analytics

Contributing Back

See CONTRIBUTING.

About

Querybook is a Big Data Querying UI, combining collocated table metadata and a simple notebook interface.

Resources

Code of conduct

Contributing

Security policy

Stars

0 stars

Watchers

0 watching

Forks

Releases

Packages

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('^' + ".*" + '
Skip to content
This repository was archived by the owner on Jul 14, 2026. It is now read-only.

Latest commit

History

962 Commits

Folders and files

NameName
Last commit message
Last commit date

Repository files navigation

Querybook

Build StatusLicenseSlack

Querybook is a Big Data IDE that allows you to discover, create, and share data analyses, queries, and tables. Check out the full documentation & feature highlights here.

Features

  • 📚 Organize analyses with rich text, queries, and charts
  • ✏️ Compose queries with autocompletion and hovering tooltip
  • 📈 Use scheduling + charting in DataDocs to build dashboards
  • 🙌 Live query collaborations with others
  • 📝 Add additional documentation to your tables
  • 🧮 Get lineage, sample queries, frequent user, search ranking based on past query runs

Getting started

Prerequisite

Please install Docker before trying out Querybook.

Quick setup

Pull this repo and run make. Visit https://localhost:10001 when the build completes.

For more details on installation, click here

Configuration

For infrastructure configuration, click here For general configuration, click here

Supported Integrations

Query Engines

Authentication

  • User/Password
  • OAuth
    • Google Cloud OAuth
    • Okta OAuth
    • GitHub OAuth
    • Auth0 OAuth
  • LDAP

Metastore

Can be used to fetch schema and table information for metadata enrichment.

  • Hive Metastore
  • Sqlalchemy Inspect
  • AWS Glue Data Catalog

Result Storage

Use one of the following to store query results.

  • Database (MySQL, Postgres, etc)
  • S3
  • Google Cloud Storage
  • Local file

Result Export

Upload query results from Querybook to other tools for further analyses.

  • Google Sheets Export
  • Python export

Notification

Get notified upon completion of queries and DataDoc invitations via IM or email.

  • Email
  • Slack

User Interface

Query Editor

Charting

Scheduling

Lineage & Analytics

Contributing Back

See CONTRIBUTING.

About

Querybook is a Big Data Querying UI, combining collocated table metadata and a simple notebook interface.

Resources

Code of conduct

Contributing

Security policy

Stars

0 stars

Watchers

0 watching

Forks

Releases

Packages

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
This repository was archived by the owner on Jul 14, 2026. It is now read-only.

Latest commit

History

962 Commits

Folders and files

NameName
Last commit message
Last commit date

Repository files navigation

Querybook

Build StatusLicenseSlack

Querybook is a Big Data IDE that allows you to discover, create, and share data analyses, queries, and tables. Check out the full documentation & feature highlights here.

Features

  • 📚 Organize analyses with rich text, queries, and charts
  • ✏️ Compose queries with autocompletion and hovering tooltip
  • 📈 Use scheduling + charting in DataDocs to build dashboards
  • 🙌 Live query collaborations with others
  • 📝 Add additional documentation to your tables
  • 🧮 Get lineage, sample queries, frequent user, search ranking based on past query runs

Getting started

Prerequisite

Please install Docker before trying out Querybook.

Quick setup

Pull this repo and run make. Visit https://localhost:10001 when the build completes.

For more details on installation, click here

Configuration

For infrastructure configuration, click here For general configuration, click here

Supported Integrations

Query Engines

Authentication

  • User/Password
  • OAuth
    • Google Cloud OAuth
    • Okta OAuth
    • GitHub OAuth
    • Auth0 OAuth
  • LDAP

Metastore

Can be used to fetch schema and table information for metadata enrichment.

  • Hive Metastore
  • Sqlalchemy Inspect
  • AWS Glue Data Catalog

Result Storage

Use one of the following to store query results.

  • Database (MySQL, Postgres, etc)
  • S3
  • Google Cloud Storage
  • Local file

Result Export

Upload query results from Querybook to other tools for further analyses.

  • Google Sheets Export
  • Python export

Notification

Get notified upon completion of queries and DataDoc invitations via IM or email.

  • Email
  • Slack

User Interface

Query Editor

Charting

Scheduling

Lineage & Analytics

Contributing Back

See CONTRIBUTING.

About

Querybook is a Big Data Querying UI, combining collocated table metadata and a simple notebook interface.

Resources

Code of conduct

Contributing

Security policy

Stars

0 stars

Watchers

0 watching

Forks

Releases

Packages

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
This repository was archived by the owner on Jul 14, 2026. It is now read-only.

Latest commit

History

962 Commits

Folders and files

NameName
Last commit message
Last commit date

Repository files navigation

Querybook

Build StatusLicenseSlack

Querybook is a Big Data IDE that allows you to discover, create, and share data analyses, queries, and tables. Check out the full documentation & feature highlights here.

Features

  • 📚 Organize analyses with rich text, queries, and charts
  • ✏️ Compose queries with autocompletion and hovering tooltip
  • 📈 Use scheduling + charting in DataDocs to build dashboards
  • 🙌 Live query collaborations with others
  • 📝 Add additional documentation to your tables
  • 🧮 Get lineage, sample queries, frequent user, search ranking based on past query runs

Getting started

Prerequisite

Please install Docker before trying out Querybook.

Quick setup

Pull this repo and run make. Visit https://localhost:10001 when the build completes.

For more details on installation, click here

Configuration

For infrastructure configuration, click here For general configuration, click here

Supported Integrations

Query Engines

Authentication

  • User/Password
  • OAuth
    • Google Cloud OAuth
    • Okta OAuth
    • GitHub OAuth
    • Auth0 OAuth
  • LDAP

Metastore

Can be used to fetch schema and table information for metadata enrichment.

  • Hive Metastore
  • Sqlalchemy Inspect
  • AWS Glue Data Catalog

Result Storage

Use one of the following to store query results.

  • Database (MySQL, Postgres, etc)
  • S3
  • Google Cloud Storage
  • Local file

Result Export

Upload query results from Querybook to other tools for further analyses.

  • Google Sheets Export
  • Python export

Notification

Get notified upon completion of queries and DataDoc invitations via IM or email.

  • Email
  • Slack

User Interface

Query Editor

Charting

Scheduling

Lineage & Analytics

Contributing Back

See CONTRIBUTING.

About

Querybook is a Big Data Querying UI, combining collocated table metadata and a simple notebook interface.

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Contributing

Security policy

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