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plotly-user

This package is just a proof of concept. I decided in the end to go with https://github.com/ajberkley/cl-matplotlib .

A Common Lisp package for interactive investigation of data sets and fits using 2D and 3D plots. The visual interface is browser based using plotly, but the intent is the user spends most of their time at the Common Lisp REPL working with data and generating plots in the browser as they investigate data.

I do want a significant amount of interactivity from the browser based interface though--- it isn't just going to provide static plots. That's because I am aiming to replace my current workflow which uses Matlab. The interactivity out of the box of plotly isn't even close to what Matlab provides, but I think a minimally acceptable feature set is achievable without too much work. Using CLOG to push most of the interactivity code to the Common Lisp server side is nice because I prefer coding in Common Lisp over Javascript, but it's unlikely I'll completely avoid having to shim things into the Javascript side.

Installing

cd ~/quicklisp/local-projects
git clone https://github.com/ajberkley/plotly-user.git
git clone https://github.com/rabbibotton/clog-plotly.git
git clone https://github.com/rabbibotton/clog.git
git clone https://github.com/fukamachi/lack.git
git clone https://github.com/fukamachi/clack.git
CL-USER> (quicklisp:quickload "PLOTLY-USER")
CL-USER> (in-package "PLOTLY-USER")
PLOTLY-USER> (maybe-start-workbench)
PLOTLY-USER> (demo)

This should result in: Screenshot

Main dependencies

CLOG: This provides the browser based user interface and is a great framework for quick development of such things.

SHASHT: We talk back and forth to the browser through JSON, so need a JSON encoder. This one worked easily.

PLOTLY: The javascript plotly library is the visualization library.

Alexandria: the main collection of lisp niceties.

Intended interactions

It would be good to support the data-frame used by Lisp-Stat. It would be nice to make this package work nicely with Lisp-Stat, which uses Vega for the current plotting which does not handle 3D data sets in a useful way.

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Use plotly in your browser to explore data from a Common Lisp REPL

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, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Add copy buttons to all
 blocks\n(function() {\n function addCopyButtons() {\n document.querySelectorAll('pre code').forEach(function(codeBlock) {\n if (codeBlock.parentElement.hasAttribute('data-copy-added')) return;\n codeBlock.parentElement.setAttribute('data-copy-added', 'true');\n \n var btn = document.createElement('button');\n btn.textContent = 'Copy';\n btn.style.cssText = 'position:absolute;top:4px;right:4px;padding:2px 8px;font-size:11px;background:#4ecdc4;border:none;border-radius:4px;color:#1a1a2e;cursor:pointer;opacity:0.7;transition:opacity 0.2s;';\n btn.onmouseover = function() { this.style.opacity = '1'; };\n btn.onmouseout = function() { this.style.opacity = '0.7'; };\n btn.onclick = function() {\n navigator.clipboard.writeText(codeBlock.textContent).then(function() {\n btn.textContent = 'Copied!';\n setTimeout(function() { btn.textContent = 'Copy'; }, 1500);\n });\n };\n codeBlock.parentElement.style.position = 'relative';\n codeBlock.parentElement.appendChild(btn);\n });\n }\n \n addCopyButtons();\n \n // Re-run on dynamic content\n var observer = new MutationObserver(addCopyButtons);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Add Copy Buttons to Code Blocks");
}
} catch(__e) { console.warn('[Userscript:Add Copy Buttons to Code Blocks]', __e); }
})();
(function(){
try {
var __m = "github.com";
var __re = new RegExp('^' + "github\\.com" + '
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plotly-user

This package is just a proof of concept. I decided in the end to go with https://github.com/ajberkley/cl-matplotlib .

A Common Lisp package for interactive investigation of data sets and fits using 2D and 3D plots. The visual interface is browser based using plotly, but the intent is the user spends most of their time at the Common Lisp REPL working with data and generating plots in the browser as they investigate data.

I do want a significant amount of interactivity from the browser based interface though--- it isn't just going to provide static plots. That's because I am aiming to replace my current workflow which uses Matlab. The interactivity out of the box of plotly isn't even close to what Matlab provides, but I think a minimally acceptable feature set is achievable without too much work. Using CLOG to push most of the interactivity code to the Common Lisp server side is nice because I prefer coding in Common Lisp over Javascript, but it's unlikely I'll completely avoid having to shim things into the Javascript side.

Installing

cd ~/quicklisp/local-projects
git clone https://github.com/ajberkley/plotly-user.git
git clone https://github.com/rabbibotton/clog-plotly.git
git clone https://github.com/rabbibotton/clog.git
git clone https://github.com/fukamachi/lack.git
git clone https://github.com/fukamachi/clack.git
CL-USER> (quicklisp:quickload "PLOTLY-USER")
CL-USER> (in-package "PLOTLY-USER")
PLOTLY-USER> (maybe-start-workbench)
PLOTLY-USER> (demo)

This should result in: Screenshot

Main dependencies

CLOG: This provides the browser based user interface and is a great framework for quick development of such things.

SHASHT: We talk back and forth to the browser through JSON, so need a JSON encoder. This one worked easily.

PLOTLY: The javascript plotly library is the visualization library.

Alexandria: the main collection of lisp niceties.

Intended interactions

It would be good to support the data-frame used by Lisp-Stat. It would be nice to make this package work nicely with Lisp-Stat, which uses Vega for the current plotting which does not handle 3D data sets in a useful way.

About

Use plotly in your browser to explore data from a Common Lisp REPL

Topics

Resources

Stars

9 stars

Watchers

2 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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plotly-user

This package is just a proof of concept. I decided in the end to go with https://github.com/ajberkley/cl-matplotlib .

A Common Lisp package for interactive investigation of data sets and fits using 2D and 3D plots. The visual interface is browser based using plotly, but the intent is the user spends most of their time at the Common Lisp REPL working with data and generating plots in the browser as they investigate data.

I do want a significant amount of interactivity from the browser based interface though--- it isn't just going to provide static plots. That's because I am aiming to replace my current workflow which uses Matlab. The interactivity out of the box of plotly isn't even close to what Matlab provides, but I think a minimally acceptable feature set is achievable without too much work. Using CLOG to push most of the interactivity code to the Common Lisp server side is nice because I prefer coding in Common Lisp over Javascript, but it's unlikely I'll completely avoid having to shim things into the Javascript side.

Installing

cd ~/quicklisp/local-projects
git clone https://github.com/ajberkley/plotly-user.git
git clone https://github.com/rabbibotton/clog-plotly.git
git clone https://github.com/rabbibotton/clog.git
git clone https://github.com/fukamachi/lack.git
git clone https://github.com/fukamachi/clack.git
CL-USER> (quicklisp:quickload "PLOTLY-USER")
CL-USER> (in-package "PLOTLY-USER")
PLOTLY-USER> (maybe-start-workbench)
PLOTLY-USER> (demo)

This should result in: Screenshot

Main dependencies

CLOG: This provides the browser based user interface and is a great framework for quick development of such things.

SHASHT: We talk back and forth to the browser through JSON, so need a JSON encoder. This one worked easily.

PLOTLY: The javascript plotly library is the visualization library.

Alexandria: the main collection of lisp niceties.

Intended interactions

It would be good to support the data-frame used by Lisp-Stat. It would be nice to make this package work nicely with Lisp-Stat, which uses Vega for the current plotting which does not handle 3D data sets in a useful way.

About

Use plotly in your browser to explore data from a Common Lisp REPL

Topics

Resources

Stars

9 stars

Watchers

2 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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plotly-user

This package is just a proof of concept. I decided in the end to go with https://github.com/ajberkley/cl-matplotlib .

A Common Lisp package for interactive investigation of data sets and fits using 2D and 3D plots. The visual interface is browser based using plotly, but the intent is the user spends most of their time at the Common Lisp REPL working with data and generating plots in the browser as they investigate data.

I do want a significant amount of interactivity from the browser based interface though--- it isn't just going to provide static plots. That's because I am aiming to replace my current workflow which uses Matlab. The interactivity out of the box of plotly isn't even close to what Matlab provides, but I think a minimally acceptable feature set is achievable without too much work. Using CLOG to push most of the interactivity code to the Common Lisp server side is nice because I prefer coding in Common Lisp over Javascript, but it's unlikely I'll completely avoid having to shim things into the Javascript side.

Installing

cd ~/quicklisp/local-projects
git clone https://github.com/ajberkley/plotly-user.git
git clone https://github.com/rabbibotton/clog-plotly.git
git clone https://github.com/rabbibotton/clog.git
git clone https://github.com/fukamachi/lack.git
git clone https://github.com/fukamachi/clack.git
CL-USER> (quicklisp:quickload "PLOTLY-USER")
CL-USER> (in-package "PLOTLY-USER")
PLOTLY-USER> (maybe-start-workbench)
PLOTLY-USER> (demo)

This should result in: Screenshot

Main dependencies

CLOG: This provides the browser based user interface and is a great framework for quick development of such things.

SHASHT: We talk back and forth to the browser through JSON, so need a JSON encoder. This one worked easily.

PLOTLY: The javascript plotly library is the visualization library.

Alexandria: the main collection of lisp niceties.

Intended interactions

It would be good to support the data-frame used by Lisp-Stat. It would be nice to make this package work nicely with Lisp-Stat, which uses Vega for the current plotting which does not handle 3D data sets in a useful way.

About

Use plotly in your browser to explore data from a Common Lisp REPL

Topics

Resources

Stars

9 stars

Watchers

2 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" + '
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plotly-user

This package is just a proof of concept. I decided in the end to go with https://github.com/ajberkley/cl-matplotlib .

A Common Lisp package for interactive investigation of data sets and fits using 2D and 3D plots. The visual interface is browser based using plotly, but the intent is the user spends most of their time at the Common Lisp REPL working with data and generating plots in the browser as they investigate data.

I do want a significant amount of interactivity from the browser based interface though--- it isn't just going to provide static plots. That's because I am aiming to replace my current workflow which uses Matlab. The interactivity out of the box of plotly isn't even close to what Matlab provides, but I think a minimally acceptable feature set is achievable without too much work. Using CLOG to push most of the interactivity code to the Common Lisp server side is nice because I prefer coding in Common Lisp over Javascript, but it's unlikely I'll completely avoid having to shim things into the Javascript side.

Installing

cd ~/quicklisp/local-projects
git clone https://github.com/ajberkley/plotly-user.git
git clone https://github.com/rabbibotton/clog-plotly.git
git clone https://github.com/rabbibotton/clog.git
git clone https://github.com/fukamachi/lack.git
git clone https://github.com/fukamachi/clack.git
CL-USER> (quicklisp:quickload "PLOTLY-USER")
CL-USER> (in-package "PLOTLY-USER")
PLOTLY-USER> (maybe-start-workbench)
PLOTLY-USER> (demo)

This should result in: Screenshot

Main dependencies

CLOG: This provides the browser based user interface and is a great framework for quick development of such things.

SHASHT: We talk back and forth to the browser through JSON, so need a JSON encoder. This one worked easily.

PLOTLY: The javascript plotly library is the visualization library.

Alexandria: the main collection of lisp niceties.

Intended interactions

It would be good to support the data-frame used by Lisp-Stat. It would be nice to make this package work nicely with Lisp-Stat, which uses Vega for the current plotting which does not handle 3D data sets in a useful way.

About

Use plotly in your browser to explore data from a Common Lisp REPL

Topics

Resources

Stars

9 stars

Watchers

2 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('^' + ".*" + '
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plotly-user

This package is just a proof of concept. I decided in the end to go with https://github.com/ajberkley/cl-matplotlib .

A Common Lisp package for interactive investigation of data sets and fits using 2D and 3D plots. The visual interface is browser based using plotly, but the intent is the user spends most of their time at the Common Lisp REPL working with data and generating plots in the browser as they investigate data.

I do want a significant amount of interactivity from the browser based interface though--- it isn't just going to provide static plots. That's because I am aiming to replace my current workflow which uses Matlab. The interactivity out of the box of plotly isn't even close to what Matlab provides, but I think a minimally acceptable feature set is achievable without too much work. Using CLOG to push most of the interactivity code to the Common Lisp server side is nice because I prefer coding in Common Lisp over Javascript, but it's unlikely I'll completely avoid having to shim things into the Javascript side.

Installing

cd ~/quicklisp/local-projects
git clone https://github.com/ajberkley/plotly-user.git
git clone https://github.com/rabbibotton/clog-plotly.git
git clone https://github.com/rabbibotton/clog.git
git clone https://github.com/fukamachi/lack.git
git clone https://github.com/fukamachi/clack.git
CL-USER> (quicklisp:quickload "PLOTLY-USER")
CL-USER> (in-package "PLOTLY-USER")
PLOTLY-USER> (maybe-start-workbench)
PLOTLY-USER> (demo)

This should result in: Screenshot

Main dependencies

CLOG: This provides the browser based user interface and is a great framework for quick development of such things.

SHASHT: We talk back and forth to the browser through JSON, so need a JSON encoder. This one worked easily.

PLOTLY: The javascript plotly library is the visualization library.

Alexandria: the main collection of lisp niceties.

Intended interactions

It would be good to support the data-frame used by Lisp-Stat. It would be nice to make this package work nicely with Lisp-Stat, which uses Vega for the current plotting which does not handle 3D data sets in a useful way.

About

Use plotly in your browser to explore data from a Common Lisp REPL

Topics

Resources

Stars

9 stars

Watchers

2 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('^' + ".*" + '
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plotly-user

This package is just a proof of concept. I decided in the end to go with https://github.com/ajberkley/cl-matplotlib .

A Common Lisp package for interactive investigation of data sets and fits using 2D and 3D plots. The visual interface is browser based using plotly, but the intent is the user spends most of their time at the Common Lisp REPL working with data and generating plots in the browser as they investigate data.

I do want a significant amount of interactivity from the browser based interface though--- it isn't just going to provide static plots. That's because I am aiming to replace my current workflow which uses Matlab. The interactivity out of the box of plotly isn't even close to what Matlab provides, but I think a minimally acceptable feature set is achievable without too much work. Using CLOG to push most of the interactivity code to the Common Lisp server side is nice because I prefer coding in Common Lisp over Javascript, but it's unlikely I'll completely avoid having to shim things into the Javascript side.

Installing

cd ~/quicklisp/local-projects
git clone https://github.com/ajberkley/plotly-user.git
git clone https://github.com/rabbibotton/clog-plotly.git
git clone https://github.com/rabbibotton/clog.git
git clone https://github.com/fukamachi/lack.git
git clone https://github.com/fukamachi/clack.git
CL-USER> (quicklisp:quickload "PLOTLY-USER")
CL-USER> (in-package "PLOTLY-USER")
PLOTLY-USER> (maybe-start-workbench)
PLOTLY-USER> (demo)

This should result in: Screenshot

Main dependencies

CLOG: This provides the browser based user interface and is a great framework for quick development of such things.

SHASHT: We talk back and forth to the browser through JSON, so need a JSON encoder. This one worked easily.

PLOTLY: The javascript plotly library is the visualization library.

Alexandria: the main collection of lisp niceties.

Intended interactions

It would be good to support the data-frame used by Lisp-Stat. It would be nice to make this package work nicely with Lisp-Stat, which uses Vega for the current plotting which does not handle 3D data sets in a useful way.

About

Use plotly in your browser to explore data from a Common Lisp REPL

Topics

Resources

Stars

9 stars

Watchers

2 watching

Forks

Releases

Packages

Used by

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

This package is just a proof of concept. I decided in the end to go with https://github.com/ajberkley/cl-matplotlib .

A Common Lisp package for interactive investigation of data sets and fits using 2D and 3D plots. The visual interface is browser based using plotly, but the intent is the user spends most of their time at the Common Lisp REPL working with data and generating plots in the browser as they investigate data.

I do want a significant amount of interactivity from the browser based interface though--- it isn't just going to provide static plots. That's because I am aiming to replace my current workflow which uses Matlab. The interactivity out of the box of plotly isn't even close to what Matlab provides, but I think a minimally acceptable feature set is achievable without too much work. Using CLOG to push most of the interactivity code to the Common Lisp server side is nice because I prefer coding in Common Lisp over Javascript, but it's unlikely I'll completely avoid having to shim things into the Javascript side.

Installing

cd ~/quicklisp/local-projects
git clone https://github.com/ajberkley/plotly-user.git
git clone https://github.com/rabbibotton/clog-plotly.git
git clone https://github.com/rabbibotton/clog.git
git clone https://github.com/fukamachi/lack.git
git clone https://github.com/fukamachi/clack.git
CL-USER> (quicklisp:quickload "PLOTLY-USER")
CL-USER> (in-package "PLOTLY-USER")
PLOTLY-USER> (maybe-start-workbench)
PLOTLY-USER> (demo)

This should result in: Screenshot

Main dependencies

CLOG: This provides the browser based user interface and is a great framework for quick development of such things.

SHASHT: We talk back and forth to the browser through JSON, so need a JSON encoder. This one worked easily.

PLOTLY: The javascript plotly library is the visualization library.

Alexandria: the main collection of lisp niceties.

Intended interactions

It would be good to support the data-frame used by Lisp-Stat. It would be nice to make this package work nicely with Lisp-Stat, which uses Vega for the current plotting which does not handle 3D data sets in a useful way.

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Use plotly in your browser to explore data from a Common Lisp REPL

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