BranchesTags

Latest commit

History

7 Commits

Folders and files

NameName
Last commit message
Last commit date
graphVis
graphVis
seqPrediction
seqPrediction
tables
tables
README.md
README.md
comparePPT.py
comparePPT.py

Repository files navigation

Sample Projects

graph-viz

A quick test of a Viz visualisation library. It's purpose was to establish if displaying document data in graph structures can be used in front end. To run, open index.html in browser.

tables

Experiments on data extraction from PDFs containing tables of numerical data. Using a number of different techniques to clean up the data.

  • analyseTable.py - extract data from a specific area of a specific page
  • findTables.py - find all tables on a specific page
  • extractTableData.py - find tables on all pages and build a list of all of the metrics uses (net revenue, costs, headcont, etc.)

You can run the scripts without any arguments.

comparePPT

Check the diff between two PowerPoint presentations. Returns a list of diffs by page.

seqPrediction

An neural nets experiment in Bitcoin price prediction. To build a model, create Book1.csv with prices in column A. This will create a model trainingData. Once model exists, the script will use lastDay.csv to get data for classification. From that, the precition is made.

About

https://sourceful.co.uk

sourceful.co.uk

Resources

Readme
Activity

Stars

0 stars

Watchers

0 watching

Forks

0 forks
Report repository

Releases

Packages

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
Latest commit
History
7 Commits
Folders and files
NameName
Last commit message
Last commit date
graphVis
graphVis
seqPrediction
seqPrediction
tables
tables
README.md
README.md
comparePPT.py
comparePPT.py
Repository files navigation
Sample Projects
graph-viz
A quick test of a Viz visualisation library. It's purpose was to establish if displaying document data in graph structures can be used in front end. To run, open index.html in browser.
tables
Experiments on data extraction from PDFs containing tables of numerical data. Using a number of different techniques to clean up the data.
  • analyseTable.py - extract data from a specific area of a specific page
  • findTables.py - find all tables on a specific page
  • extractTableData.py - find tables on all pages and build a list of all of the metrics uses (net revenue, costs, headcont, etc.)
You can run the scripts without any arguments.
comparePPT
Check the diff between two PowerPoint presentations. Returns a list of diffs by page.
seqPrediction
An neural nets experiment in Bitcoin price prediction. To build a model, create Book1.csv with prices in column A. This will create a model trainingData. Once model exists, the script will use lastDay.csv to get data for classification. From that, the precition is made.
About
https://sourceful.co.uk
sourceful.co.uk
Resources
Readme
Activity
Stars
0 stars
Watchers
0 watching
Forks
0 forks
Report repository
Releases
Packages
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
Latest commit
History
7 Commits
Folders and files
NameName
Last commit message
Last commit date
graphVis
graphVis
seqPrediction
seqPrediction
tables
tables
README.md
README.md
comparePPT.py
comparePPT.py
Repository files navigation
Sample Projects
graph-viz
A quick test of a Viz visualisation library. It's purpose was to establish if displaying document data in graph structures can be used in front end. To run, open index.html in browser.
tables
Experiments on data extraction from PDFs containing tables of numerical data. Using a number of different techniques to clean up the data.
  • analyseTable.py - extract data from a specific area of a specific page
  • findTables.py - find all tables on a specific page
  • extractTableData.py - find tables on all pages and build a list of all of the metrics uses (net revenue, costs, headcont, etc.)
You can run the scripts without any arguments.
comparePPT
Check the diff between two PowerPoint presentations. Returns a list of diffs by page.
seqPrediction
An neural nets experiment in Bitcoin price prediction. To build a model, create Book1.csv with prices in column A. This will create a model trainingData. Once model exists, the script will use lastDay.csv to get data for classification. From that, the precition is made.
About
https://sourceful.co.uk
sourceful.co.uk
Resources
Readme
Activity
Stars
0 stars
Watchers
0 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
Latest commit
History
7 Commits
Folders and files
NameName
Last commit message
Last commit date
graphVis
graphVis
seqPrediction
seqPrediction
tables
tables
README.md
README.md
comparePPT.py
comparePPT.py
Repository files navigation
Sample Projects
graph-viz
A quick test of a Viz visualisation library. It's purpose was to establish if displaying document data in graph structures can be used in front end. To run, open index.html in browser.
tables
Experiments on data extraction from PDFs containing tables of numerical data. Using a number of different techniques to clean up the data.
  • analyseTable.py - extract data from a specific area of a specific page
  • findTables.py - find all tables on a specific page
  • extractTableData.py - find tables on all pages and build a list of all of the metrics uses (net revenue, costs, headcont, etc.)
You can run the scripts without any arguments.
comparePPT
Check the diff between two PowerPoint presentations. Returns a list of diffs by page.
seqPrediction
An neural nets experiment in Bitcoin price prediction. To build a model, create Book1.csv with prices in column A. This will create a model trainingData. Once model exists, the script will use lastDay.csv to get data for classification. From that, the precition is made.
About
https://sourceful.co.uk
sourceful.co.uk
Resources
Readme
Activity
Stars
0 stars
Watchers
0 watching
Forks
0 forks
Report repository
Releases
Packages
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
Latest commit
History
7 Commits
Folders and files
NameName
Last commit message
Last commit date
graphVis
graphVis
seqPrediction
seqPrediction
tables
tables
README.md
README.md
comparePPT.py
comparePPT.py
Repository files navigation
Sample Projects
graph-viz
A quick test of a Viz visualisation library. It's purpose was to establish if displaying document data in graph structures can be used in front end. To run, open index.html in browser.
tables
Experiments on data extraction from PDFs containing tables of numerical data. Using a number of different techniques to clean up the data.
  • analyseTable.py - extract data from a specific area of a specific page
  • findTables.py - find all tables on a specific page
  • extractTableData.py - find tables on all pages and build a list of all of the metrics uses (net revenue, costs, headcont, etc.)
You can run the scripts without any arguments.
comparePPT
Check the diff between two PowerPoint presentations. Returns a list of diffs by page.
seqPrediction
An neural nets experiment in Bitcoin price prediction. To build a model, create Book1.csv with prices in column A. This will create a model trainingData. Once model exists, the script will use lastDay.csv to get data for classification. From that, the precition is made.
About
https://sourceful.co.uk
sourceful.co.uk
Resources
Readme
Activity
Stars
0 stars
Watchers
0 watching
Forks
0 forks
Report repository
Releases
Packages
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
BranchesTags
Latest commit
History
7 Commits
Folders and files
NameName
Last commit message
Last commit date
graphVis
graphVis
seqPrediction
seqPrediction
tables
tables
README.md
README.md
comparePPT.py
comparePPT.py
Repository files navigation
Sample Projects
graph-viz
A quick test of a Viz visualisation library. It's purpose was to establish if displaying document data in graph structures can be used in front end. To run, open index.html in browser.
tables
Experiments on data extraction from PDFs containing tables of numerical data. Using a number of different techniques to clean up the data.
  • analyseTable.py - extract data from a specific area of a specific page
  • findTables.py - find all tables on a specific page
  • extractTableData.py - find tables on all pages and build a list of all of the metrics uses (net revenue, costs, headcont, etc.)
You can run the scripts without any arguments.
comparePPT
Check the diff between two PowerPoint presentations. Returns a list of diffs by page.
seqPrediction
An neural nets experiment in Bitcoin price prediction. To build a model, create Book1.csv with prices in column A. This will create a model trainingData. Once model exists, the script will use lastDay.csv to get data for classification. From that, the precition is made.
About
https://sourceful.co.uk
sourceful.co.uk
Resources
Readme
Activity
Stars
0 stars
Watchers
0 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
Latest commit
History
7 Commits
Folders and files
NameName
Last commit message
Last commit date
graphVis
graphVis
seqPrediction
seqPrediction
tables
tables
README.md
README.md
comparePPT.py
comparePPT.py
Repository files navigation
Sample Projects
graph-viz
A quick test of a Viz visualisation library. It's purpose was to establish if displaying document data in graph structures can be used in front end. To run, open index.html in browser.
tables
Experiments on data extraction from PDFs containing tables of numerical data. Using a number of different techniques to clean up the data.
  • analyseTable.py - extract data from a specific area of a specific page
  • findTables.py - find all tables on a specific page
  • extractTableData.py - find tables on all pages and build a list of all of the metrics uses (net revenue, costs, headcont, etc.)
You can run the scripts without any arguments.
comparePPT
Check the diff between two PowerPoint presentations. Returns a list of diffs by page.
seqPrediction
An neural nets experiment in Bitcoin price prediction. To build a model, create Book1.csv with prices in column A. This will create a model trainingData. Once model exists, the script will use lastDay.csv to get data for classification. From that, the precition is made.
About
https://sourceful.co.uk
sourceful.co.uk
Resources
Readme
Activity
Stars
0 stars
Watchers
0 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); }
})();
})();

Skip to content
BranchesTags
Latest commit
History
7 Commits
Folders and files
NameName
Last commit message
Last commit date
graphVis
graphVis
seqPrediction
seqPrediction
tables
tables
README.md
README.md
comparePPT.py
comparePPT.py
Repository files navigation
Sample Projects
graph-viz
A quick test of a Viz visualisation library. It's purpose was to establish if displaying document data in graph structures can be used in front end. To run, open index.html in browser.
tables
Experiments on data extraction from PDFs containing tables of numerical data. Using a number of different techniques to clean up the data.
  • analyseTable.py - extract data from a specific area of a specific page
  • findTables.py - find all tables on a specific page
  • extractTableData.py - find tables on all pages and build a list of all of the metrics uses (net revenue, costs, headcont, etc.)
You can run the scripts without any arguments.
comparePPT
Check the diff between two PowerPoint presentations. Returns a list of diffs by page.
seqPrediction
An neural nets experiment in Bitcoin price prediction. To build a model, create Book1.csv with prices in column A. This will create a model trainingData. Once model exists, the script will use lastDay.csv to get data for classification. From that, the precition is made.
About
https://sourceful.co.uk
sourceful.co.uk
Resources
Readme
Activity
Stars
0 stars
Watchers
0 watching
Forks
0 forks
Report repository
Releases
Packages
Contributors
Languages