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TrollFactory

LicenseGitHub code size in bytesGitHub last commitPyPI version

An amazingly accurate fake personality generator.

About

TrollFactory is a fairly advanced fake personality generator written in Python. It aims to generate as much data about a person as possible. At the moment it only supports Polish personalities, we're finishing US dataset soon.

Installation

TrollFactory is available as a PyPI package: pip3 install TrollFactory

Usage

TrollFactory CLI

The TrollFactory PyPI package also contains TrollFactory CLI. It's currently the most reliable way of using TrollFactory.
To use it, run the trollfactory binary from your terminal emulator.

If ran without any parameters, it will generate a personality with default options (Polish dataset, female gender).

At the moment, you can specify a custom dataset and gender (support for other static properties is coming soon):
trollfactory --gender male --dataset english_us

You can also generate many personalities at once:
trollfactory --amount 10

You can run trollfactory --help to read the full help.

Python library

After installing the TrollFactory Python package, you can use it in your scripts.

importtrollfactory.functionsastftf.generate_personality('polish', 'male')

The generate_personality() function returns a dict with generated data.

TODO

  • non-binary gender
  • finish english_us dataset
  • tests for english_us dataset
  • setting static properties
  • cli arguments help
  • add more test scripts
  • improve CC prop & write test
  • type hints for generated props
  • docstrings
  • split datasets into separate modules

About

An amazingly accurate fake personalities generator.

Resources

Readme
GPL-3.0 license
Activity
Custom properties

Stars

7 stars

Watchers

1 watching

Forks

0 forks
Report repository

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" + '

Skip to content
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TrollFactory
LicenseGitHub code size in bytesGitHub last commitPyPI version
An amazingly accurate fake personality generator.
About
TrollFactory is a fairly advanced fake personality generator written in Python. It aims to generate as much data about a person as possible. At the moment it only supports Polish personalities, we're finishing US dataset soon.
Installation
TrollFactory is available as a PyPI package: pip3 install TrollFactory
Usage
TrollFactory CLI
The TrollFactory PyPI package also contains TrollFactory CLI. It's currently the most reliable way of using TrollFactory.

To use it, run the trollfactory binary from your terminal emulator.
If ran without any parameters, it will generate a personality with default options (Polish dataset, female gender).
At the moment, you can specify a custom dataset and gender (support for other static properties is coming soon):
trollfactory --gender male --dataset english_us
You can also generate many personalities at once:
trollfactory --amount 10
You can run trollfactory --help to read the full help.
Python library
After installing the TrollFactory Python package, you can use it in your scripts.
importtrollfactory.functionsastftf.generate_personality('polish', 'male')
The generate_personality() function returns a dict with generated data.
TODO
  •  non-binary gender
  •  finish english_us dataset
  •  tests for english_us dataset
  •  setting static properties
  •  cli arguments help
  •  add more test scripts
  •  improve CC prop & write test
  •  type hints for generated props
  •  docstrings
  •  split datasets into separate modules
About
An amazingly accurate fake personalities generator.
Resources
Readme
GPL-3.0 license
Activity
Custom properties
Stars
7 stars
Watchers
1 watching
Forks
0 forks
Report repository
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('^' + ".*" + '

Skip to content
BranchesTags
Repository files navigation
TrollFactory
LicenseGitHub code size in bytesGitHub last commitPyPI version
An amazingly accurate fake personality generator.
About
TrollFactory is a fairly advanced fake personality generator written in Python. It aims to generate as much data about a person as possible. At the moment it only supports Polish personalities, we're finishing US dataset soon.
Installation
TrollFactory is available as a PyPI package: pip3 install TrollFactory
Usage
TrollFactory CLI
The TrollFactory PyPI package also contains TrollFactory CLI. It's currently the most reliable way of using TrollFactory.

To use it, run the trollfactory binary from your terminal emulator.
If ran without any parameters, it will generate a personality with default options (Polish dataset, female gender).
At the moment, you can specify a custom dataset and gender (support for other static properties is coming soon):
trollfactory --gender male --dataset english_us
You can also generate many personalities at once:
trollfactory --amount 10
You can run trollfactory --help to read the full help.
Python library
After installing the TrollFactory Python package, you can use it in your scripts.
importtrollfactory.functionsastftf.generate_personality('polish', 'male')
The generate_personality() function returns a dict with generated data.
TODO
  •  non-binary gender
  •  finish english_us dataset
  •  tests for english_us dataset
  •  setting static properties
  •  cli arguments help
  •  add more test scripts
  •  improve CC prop & write test
  •  type hints for generated props
  •  docstrings
  •  split datasets into separate modules
About
An amazingly accurate fake personalities generator.
Resources
Readme
GPL-3.0 license
Activity
Custom properties
Stars
7 stars
Watchers
1 watching
Forks
0 forks
Report repository
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('^' + ".*" + '

Skip to content
BranchesTags
Repository files navigation
TrollFactory
LicenseGitHub code size in bytesGitHub last commitPyPI version
An amazingly accurate fake personality generator.
About
TrollFactory is a fairly advanced fake personality generator written in Python. It aims to generate as much data about a person as possible. At the moment it only supports Polish personalities, we're finishing US dataset soon.
Installation
TrollFactory is available as a PyPI package: pip3 install TrollFactory
Usage
TrollFactory CLI
The TrollFactory PyPI package also contains TrollFactory CLI. It's currently the most reliable way of using TrollFactory.

To use it, run the trollfactory binary from your terminal emulator.
If ran without any parameters, it will generate a personality with default options (Polish dataset, female gender).
At the moment, you can specify a custom dataset and gender (support for other static properties is coming soon):
trollfactory --gender male --dataset english_us
You can also generate many personalities at once:
trollfactory --amount 10
You can run trollfactory --help to read the full help.
Python library
After installing the TrollFactory Python package, you can use it in your scripts.
importtrollfactory.functionsastftf.generate_personality('polish', 'male')
The generate_personality() function returns a dict with generated data.
TODO
  •  non-binary gender
  •  finish english_us dataset
  •  tests for english_us dataset
  •  setting static properties
  •  cli arguments help
  •  add more test scripts
  •  improve CC prop & write test
  •  type hints for generated props
  •  docstrings
  •  split datasets into separate modules
About
An amazingly accurate fake personalities generator.
Resources
Readme
GPL-3.0 license
Activity
Custom properties
Stars
7 stars
Watchers
1 watching
Forks
0 forks
Report repository
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
BranchesTags
Repository files navigation
TrollFactory
LicenseGitHub code size in bytesGitHub last commitPyPI version
An amazingly accurate fake personality generator.
About
TrollFactory is a fairly advanced fake personality generator written in Python. It aims to generate as much data about a person as possible. At the moment it only supports Polish personalities, we're finishing US dataset soon.
Installation
TrollFactory is available as a PyPI package: pip3 install TrollFactory
Usage
TrollFactory CLI
The TrollFactory PyPI package also contains TrollFactory CLI. It's currently the most reliable way of using TrollFactory.

To use it, run the trollfactory binary from your terminal emulator.
If ran without any parameters, it will generate a personality with default options (Polish dataset, female gender).
At the moment, you can specify a custom dataset and gender (support for other static properties is coming soon):
trollfactory --gender male --dataset english_us
You can also generate many personalities at once:
trollfactory --amount 10
You can run trollfactory --help to read the full help.
Python library
After installing the TrollFactory Python package, you can use it in your scripts.
importtrollfactory.functionsastftf.generate_personality('polish', 'male')
The generate_personality() function returns a dict with generated data.
TODO
  •  non-binary gender
  •  finish english_us dataset
  •  tests for english_us dataset
  •  setting static properties
  •  cli arguments help
  •  add more test scripts
  •  improve CC prop & write test
  •  type hints for generated props
  •  docstrings
  •  split datasets into separate modules
About
An amazingly accurate fake personalities generator.
Resources
Readme
GPL-3.0 license
Activity
Custom properties
Stars
7 stars
Watchers
1 watching
Forks
0 forks
Report repository
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
BranchesTags
Repository files navigation
TrollFactory
LicenseGitHub code size in bytesGitHub last commitPyPI version
An amazingly accurate fake personality generator.
About
TrollFactory is a fairly advanced fake personality generator written in Python. It aims to generate as much data about a person as possible. At the moment it only supports Polish personalities, we're finishing US dataset soon.
Installation
TrollFactory is available as a PyPI package: pip3 install TrollFactory
Usage
TrollFactory CLI
The TrollFactory PyPI package also contains TrollFactory CLI. It's currently the most reliable way of using TrollFactory.

To use it, run the trollfactory binary from your terminal emulator.
If ran without any parameters, it will generate a personality with default options (Polish dataset, female gender).
At the moment, you can specify a custom dataset and gender (support for other static properties is coming soon):
trollfactory --gender male --dataset english_us
You can also generate many personalities at once:
trollfactory --amount 10
You can run trollfactory --help to read the full help.
Python library
After installing the TrollFactory Python package, you can use it in your scripts.
importtrollfactory.functionsastftf.generate_personality('polish', 'male')
The generate_personality() function returns a dict with generated data.
TODO
  •  non-binary gender
  •  finish english_us dataset
  •  tests for english_us dataset
  •  setting static properties
  •  cli arguments help
  •  add more test scripts
  •  improve CC prop & write test
  •  type hints for generated props
  •  docstrings
  •  split datasets into separate modules
About
An amazingly accurate fake personalities generator.
Resources
Readme
GPL-3.0 license
Activity
Custom properties
Stars
7 stars
Watchers
1 watching
Forks
0 forks
Report repository
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
BranchesTags
Repository files navigation
TrollFactory
LicenseGitHub code size in bytesGitHub last commitPyPI version
An amazingly accurate fake personality generator.
About
TrollFactory is a fairly advanced fake personality generator written in Python. It aims to generate as much data about a person as possible. At the moment it only supports Polish personalities, we're finishing US dataset soon.
Installation
TrollFactory is available as a PyPI package: pip3 install TrollFactory
Usage
TrollFactory CLI
The TrollFactory PyPI package also contains TrollFactory CLI. It's currently the most reliable way of using TrollFactory.

To use it, run the trollfactory binary from your terminal emulator.
If ran without any parameters, it will generate a personality with default options (Polish dataset, female gender).
At the moment, you can specify a custom dataset and gender (support for other static properties is coming soon):
trollfactory --gender male --dataset english_us
You can also generate many personalities at once:
trollfactory --amount 10
You can run trollfactory --help to read the full help.
Python library
After installing the TrollFactory Python package, you can use it in your scripts.
importtrollfactory.functionsastftf.generate_personality('polish', 'male')
The generate_personality() function returns a dict with generated data.
TODO
  •  non-binary gender
  •  finish english_us dataset
  •  tests for english_us dataset
  •  setting static properties
  •  cli arguments help
  •  add more test scripts
  •  improve CC prop & write test
  •  type hints for generated props
  •  docstrings
  •  split datasets into separate modules
About
An amazingly accurate fake personalities generator.
Resources
Readme
GPL-3.0 license
Activity
Custom properties
Stars
7 stars
Watchers
1 watching
Forks
0 forks
Report repository
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
BranchesTags
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TrollFactory
LicenseGitHub code size in bytesGitHub last commitPyPI version
An amazingly accurate fake personality generator.
About
TrollFactory is a fairly advanced fake personality generator written in Python. It aims to generate as much data about a person as possible. At the moment it only supports Polish personalities, we're finishing US dataset soon.
Installation
TrollFactory is available as a PyPI package: pip3 install TrollFactory
Usage
TrollFactory CLI
The TrollFactory PyPI package also contains TrollFactory CLI. It's currently the most reliable way of using TrollFactory.

To use it, run the trollfactory binary from your terminal emulator.
If ran without any parameters, it will generate a personality with default options (Polish dataset, female gender).
At the moment, you can specify a custom dataset and gender (support for other static properties is coming soon):
trollfactory --gender male --dataset english_us
You can also generate many personalities at once:
trollfactory --amount 10
You can run trollfactory --help to read the full help.
Python library
After installing the TrollFactory Python package, you can use it in your scripts.
importtrollfactory.functionsastftf.generate_personality('polish', 'male')
The generate_personality() function returns a dict with generated data.
TODO
  •  non-binary gender
  •  finish english_us dataset
  •  tests for english_us dataset
  •  setting static properties
  •  cli arguments help
  •  add more test scripts
  •  improve CC prop & write test
  •  type hints for generated props
  •  docstrings
  •  split datasets into separate modules
About
An amazingly accurate fake personalities generator.
Resources
Readme
GPL-3.0 license
Activity
Custom properties
Stars
7 stars
Watchers
1 watching
Forks
0 forks
Report repository
Releases
Packages
Used by
Contributors
Languages