Repository files navigation

table

Golang tool for performing table based filtering operations. Supports CSV, JSON and md tables. This tool works similar to jq. Where you pass a set of filters or queries to mutate the csv data or extract lines that interest you.

There are various output modifiers like:

  • csv: Default csv output.
  • md: Markdown table.
  • json: Json output.
  • pretty: Pretty ASCII table similar to markdown.
  • html: HTML table.

Here is a simple usage of table: Simple example usage

You can select columns to compare to values by using:

  • .<column name>: Or for column names that contain spaces ->."<column name>".
  • $<column index>: Similar to AWK.

Comparing numbers is also supported.

Predefined variables

This project is heavily inspired by AWK (as all things that are good). So here are some predefined variables you can utilize:

  • NF: Number of fields.
  • FNR: Current record/row number (This is zero indexed).
  • NR: Record/Row count.

Install

Install using go install:

go install github.com/soerlemans/table@latest

Diclaimer: This project is not feature complete or production ready, bugs will arise.

Example

Here is an example usage of table:

table '.Department == "Engineering" | head 4 | sort "Username" | md "Username", "First name", "Last name", "Department" ' data/example.csv

Output:

| Username | First name | Last name | Department |
| -------------- | ---------- | --------- | ----------- |
| jenkins46 | Mary | Jenkins | Engineering |
| jenkins9993424 | Bob | Jenkins | Engineering |
| jenkins99999 | VanDame | Jenkins | Engineering |
| jenkins9da33 | Herald | Jenkins | Engineering |

Help

Version: 0.1
Usage: table [--file FILE] [--stdin] [--field-separator FIELD-SEPARATOR] [--csv] [--json] [--excel] [PROGRAMTEXT [INPUTFILES [INPUTFILES ...]]]
Positional arguments:
PROGRAMTEXT Filter to execute.
INPUTFILES Files to source as input.
Options:
--file FILE, -f FILE Path to file containing filters.
--stdin Specifies if the program should read from stdin. [default: false]
--field-separator FIELD-SEPARATOR, -F FIELD-SEPARATOR
Define the field separator.
--csv Define that input is CSV (default).
--json Define that input is JSON.
--excel Define that input is Excel.
--help, -h display this help and exit

About

Golang tool for performing table based filtering operations. Supports CSV, JSON and md tables.

Resources

Stars

2 stars

Watchers

1 watching

Forks

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

Repository files navigation

table

Golang tool for performing table based filtering operations. Supports CSV, JSON and md tables. This tool works similar to jq. Where you pass a set of filters or queries to mutate the csv data or extract lines that interest you.

There are various output modifiers like:

  • csv: Default csv output.
  • md: Markdown table.
  • json: Json output.
  • pretty: Pretty ASCII table similar to markdown.
  • html: HTML table.

Here is a simple usage of table: Simple example usage

You can select columns to compare to values by using:

  • .<column name>: Or for column names that contain spaces ->."<column name>".
  • $<column index>: Similar to AWK.

Comparing numbers is also supported.

Predefined variables

This project is heavily inspired by AWK (as all things that are good). So here are some predefined variables you can utilize:

  • NF: Number of fields.
  • FNR: Current record/row number (This is zero indexed).
  • NR: Record/Row count.

Install

Install using go install:

go install github.com/soerlemans/table@latest

Diclaimer: This project is not feature complete or production ready, bugs will arise.

Example

Here is an example usage of table:

table '.Department == "Engineering" | head 4 | sort "Username" | md "Username", "First name", "Last name", "Department" ' data/example.csv

Output:

| Username | First name | Last name | Department |
| -------------- | ---------- | --------- | ----------- |
| jenkins46 | Mary | Jenkins | Engineering |
| jenkins9993424 | Bob | Jenkins | Engineering |
| jenkins99999 | VanDame | Jenkins | Engineering |
| jenkins9da33 | Herald | Jenkins | Engineering |

Help

Version: 0.1
Usage: table [--file FILE] [--stdin] [--field-separator FIELD-SEPARATOR] [--csv] [--json] [--excel] [PROGRAMTEXT [INPUTFILES [INPUTFILES ...]]]
Positional arguments:
PROGRAMTEXT Filter to execute.
INPUTFILES Files to source as input.
Options:
--file FILE, -f FILE Path to file containing filters.
--stdin Specifies if the program should read from stdin. [default: false]
--field-separator FIELD-SEPARATOR, -F FIELD-SEPARATOR
Define the field separator.
--csv Define that input is CSV (default).
--json Define that input is JSON.
--excel Define that input is Excel.
--help, -h display this help and exit

About

Golang tool for performing table based filtering operations. Supports CSV, JSON and md tables.

Resources

Stars

2 stars

Watchers

1 watching

Forks

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

Repository files navigation

table

Golang tool for performing table based filtering operations. Supports CSV, JSON and md tables. This tool works similar to jq. Where you pass a set of filters or queries to mutate the csv data or extract lines that interest you.

There are various output modifiers like:

  • csv: Default csv output.
  • md: Markdown table.
  • json: Json output.
  • pretty: Pretty ASCII table similar to markdown.
  • html: HTML table.

Here is a simple usage of table: Simple example usage

You can select columns to compare to values by using:

  • .<column name>: Or for column names that contain spaces ->."<column name>".
  • $<column index>: Similar to AWK.

Comparing numbers is also supported.

Predefined variables

This project is heavily inspired by AWK (as all things that are good). So here are some predefined variables you can utilize:

  • NF: Number of fields.
  • FNR: Current record/row number (This is zero indexed).
  • NR: Record/Row count.

Install

Install using go install:

go install github.com/soerlemans/table@latest

Diclaimer: This project is not feature complete or production ready, bugs will arise.

Example

Here is an example usage of table:

table '.Department == "Engineering" | head 4 | sort "Username" | md "Username", "First name", "Last name", "Department" ' data/example.csv

Output:

| Username | First name | Last name | Department |
| -------------- | ---------- | --------- | ----------- |
| jenkins46 | Mary | Jenkins | Engineering |
| jenkins9993424 | Bob | Jenkins | Engineering |
| jenkins99999 | VanDame | Jenkins | Engineering |
| jenkins9da33 | Herald | Jenkins | Engineering |

Help

Version: 0.1
Usage: table [--file FILE] [--stdin] [--field-separator FIELD-SEPARATOR] [--csv] [--json] [--excel] [PROGRAMTEXT [INPUTFILES [INPUTFILES ...]]]
Positional arguments:
PROGRAMTEXT Filter to execute.
INPUTFILES Files to source as input.
Options:
--file FILE, -f FILE Path to file containing filters.
--stdin Specifies if the program should read from stdin. [default: false]
--field-separator FIELD-SEPARATOR, -F FIELD-SEPARATOR
Define the field separator.
--csv Define that input is CSV (default).
--json Define that input is JSON.
--excel Define that input is Excel.
--help, -h display this help and exit

About

Golang tool for performing table based filtering operations. Supports CSV, JSON and md tables.

Resources

Stars

2 stars

Watchers

1 watching

Forks

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

Repository files navigation

table

Golang tool for performing table based filtering operations. Supports CSV, JSON and md tables. This tool works similar to jq. Where you pass a set of filters or queries to mutate the csv data or extract lines that interest you.

There are various output modifiers like:

  • csv: Default csv output.
  • md: Markdown table.
  • json: Json output.
  • pretty: Pretty ASCII table similar to markdown.
  • html: HTML table.

Here is a simple usage of table: Simple example usage

You can select columns to compare to values by using:

  • .<column name>: Or for column names that contain spaces ->."<column name>".
  • $<column index>: Similar to AWK.

Comparing numbers is also supported.

Predefined variables

This project is heavily inspired by AWK (as all things that are good). So here are some predefined variables you can utilize:

  • NF: Number of fields.
  • FNR: Current record/row number (This is zero indexed).
  • NR: Record/Row count.

Install

Install using go install:

go install github.com/soerlemans/table@latest

Diclaimer: This project is not feature complete or production ready, bugs will arise.

Example

Here is an example usage of table:

table '.Department == "Engineering" | head 4 | sort "Username" | md "Username", "First name", "Last name", "Department" ' data/example.csv

Output:

| Username | First name | Last name | Department |
| -------------- | ---------- | --------- | ----------- |
| jenkins46 | Mary | Jenkins | Engineering |
| jenkins9993424 | Bob | Jenkins | Engineering |
| jenkins99999 | VanDame | Jenkins | Engineering |
| jenkins9da33 | Herald | Jenkins | Engineering |

Help

Version: 0.1
Usage: table [--file FILE] [--stdin] [--field-separator FIELD-SEPARATOR] [--csv] [--json] [--excel] [PROGRAMTEXT [INPUTFILES [INPUTFILES ...]]]
Positional arguments:
PROGRAMTEXT Filter to execute.
INPUTFILES Files to source as input.
Options:
--file FILE, -f FILE Path to file containing filters.
--stdin Specifies if the program should read from stdin. [default: false]
--field-separator FIELD-SEPARATOR, -F FIELD-SEPARATOR
Define the field separator.
--csv Define that input is CSV (default).
--json Define that input is JSON.
--excel Define that input is Excel.
--help, -h display this help and exit

About

Golang tool for performing table based filtering operations. Supports CSV, JSON and md tables.

Resources

Stars

2 stars

Watchers

1 watching

Forks

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

Repository files navigation

table

Golang tool for performing table based filtering operations. Supports CSV, JSON and md tables. This tool works similar to jq. Where you pass a set of filters or queries to mutate the csv data or extract lines that interest you.

There are various output modifiers like:

  • csv: Default csv output.
  • md: Markdown table.
  • json: Json output.
  • pretty: Pretty ASCII table similar to markdown.
  • html: HTML table.

Here is a simple usage of table: Simple example usage

You can select columns to compare to values by using:

  • .<column name>: Or for column names that contain spaces ->."<column name>".
  • $<column index>: Similar to AWK.

Comparing numbers is also supported.

Predefined variables

This project is heavily inspired by AWK (as all things that are good). So here are some predefined variables you can utilize:

  • NF: Number of fields.
  • FNR: Current record/row number (This is zero indexed).
  • NR: Record/Row count.

Install

Install using go install:

go install github.com/soerlemans/table@latest

Diclaimer: This project is not feature complete or production ready, bugs will arise.

Example

Here is an example usage of table:

table '.Department == "Engineering" | head 4 | sort "Username" | md "Username", "First name", "Last name", "Department" ' data/example.csv

Output:

| Username | First name | Last name | Department |
| -------------- | ---------- | --------- | ----------- |
| jenkins46 | Mary | Jenkins | Engineering |
| jenkins9993424 | Bob | Jenkins | Engineering |
| jenkins99999 | VanDame | Jenkins | Engineering |
| jenkins9da33 | Herald | Jenkins | Engineering |

Help

Version: 0.1
Usage: table [--file FILE] [--stdin] [--field-separator FIELD-SEPARATOR] [--csv] [--json] [--excel] [PROGRAMTEXT [INPUTFILES [INPUTFILES ...]]]
Positional arguments:
PROGRAMTEXT Filter to execute.
INPUTFILES Files to source as input.
Options:
--file FILE, -f FILE Path to file containing filters.
--stdin Specifies if the program should read from stdin. [default: false]
--field-separator FIELD-SEPARATOR, -F FIELD-SEPARATOR
Define the field separator.
--csv Define that input is CSV (default).
--json Define that input is JSON.
--excel Define that input is Excel.
--help, -h display this help and exit

About

Golang tool for performing table based filtering operations. Supports CSV, JSON and md tables.

Resources

Stars

2 stars

Watchers

1 watching

Forks

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

Repository files navigation

table

Golang tool for performing table based filtering operations. Supports CSV, JSON and md tables. This tool works similar to jq. Where you pass a set of filters or queries to mutate the csv data or extract lines that interest you.

There are various output modifiers like:

  • csv: Default csv output.
  • md: Markdown table.
  • json: Json output.
  • pretty: Pretty ASCII table similar to markdown.
  • html: HTML table.

Here is a simple usage of table: Simple example usage

You can select columns to compare to values by using:

  • .<column name>: Or for column names that contain spaces ->."<column name>".
  • $<column index>: Similar to AWK.

Comparing numbers is also supported.

Predefined variables

This project is heavily inspired by AWK (as all things that are good). So here are some predefined variables you can utilize:

  • NF: Number of fields.
  • FNR: Current record/row number (This is zero indexed).
  • NR: Record/Row count.

Install

Install using go install:

go install github.com/soerlemans/table@latest

Diclaimer: This project is not feature complete or production ready, bugs will arise.

Example

Here is an example usage of table:

table '.Department == "Engineering" | head 4 | sort "Username" | md "Username", "First name", "Last name", "Department" ' data/example.csv

Output:

| Username | First name | Last name | Department |
| -------------- | ---------- | --------- | ----------- |
| jenkins46 | Mary | Jenkins | Engineering |
| jenkins9993424 | Bob | Jenkins | Engineering |
| jenkins99999 | VanDame | Jenkins | Engineering |
| jenkins9da33 | Herald | Jenkins | Engineering |

Help

Version: 0.1
Usage: table [--file FILE] [--stdin] [--field-separator FIELD-SEPARATOR] [--csv] [--json] [--excel] [PROGRAMTEXT [INPUTFILES [INPUTFILES ...]]]
Positional arguments:
PROGRAMTEXT Filter to execute.
INPUTFILES Files to source as input.
Options:
--file FILE, -f FILE Path to file containing filters.
--stdin Specifies if the program should read from stdin. [default: false]
--field-separator FIELD-SEPARATOR, -F FIELD-SEPARATOR
Define the field separator.
--csv Define that input is CSV (default).
--json Define that input is JSON.
--excel Define that input is Excel.
--help, -h display this help and exit

About

Golang tool for performing table based filtering operations. Supports CSV, JSON and md tables.

Resources

Stars

2 stars

Watchers

1 watching

Forks

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

Repository files navigation

table

Golang tool for performing table based filtering operations. Supports CSV, JSON and md tables. This tool works similar to jq. Where you pass a set of filters or queries to mutate the csv data or extract lines that interest you.

There are various output modifiers like:

  • csv: Default csv output.
  • md: Markdown table.
  • json: Json output.
  • pretty: Pretty ASCII table similar to markdown.
  • html: HTML table.

Here is a simple usage of table: Simple example usage

You can select columns to compare to values by using:

  • .<column name>: Or for column names that contain spaces ->."<column name>".
  • $<column index>: Similar to AWK.

Comparing numbers is also supported.

Predefined variables

This project is heavily inspired by AWK (as all things that are good). So here are some predefined variables you can utilize:

  • NF: Number of fields.
  • FNR: Current record/row number (This is zero indexed).
  • NR: Record/Row count.

Install

Install using go install:

go install github.com/soerlemans/table@latest

Diclaimer: This project is not feature complete or production ready, bugs will arise.

Example

Here is an example usage of table:

table '.Department == "Engineering" | head 4 | sort "Username" | md "Username", "First name", "Last name", "Department" ' data/example.csv

Output:

| Username | First name | Last name | Department |
| -------------- | ---------- | --------- | ----------- |
| jenkins46 | Mary | Jenkins | Engineering |
| jenkins9993424 | Bob | Jenkins | Engineering |
| jenkins99999 | VanDame | Jenkins | Engineering |
| jenkins9da33 | Herald | Jenkins | Engineering |

Help

Version: 0.1
Usage: table [--file FILE] [--stdin] [--field-separator FIELD-SEPARATOR] [--csv] [--json] [--excel] [PROGRAMTEXT [INPUTFILES [INPUTFILES ...]]]
Positional arguments:
PROGRAMTEXT Filter to execute.
INPUTFILES Files to source as input.
Options:
--file FILE, -f FILE Path to file containing filters.
--stdin Specifies if the program should read from stdin. [default: false]
--field-separator FIELD-SEPARATOR, -F FIELD-SEPARATOR
Define the field separator.
--csv Define that input is CSV (default).
--json Define that input is JSON.
--excel Define that input is Excel.
--help, -h display this help and exit

About

Golang tool for performing table based filtering operations. Supports CSV, JSON and md tables.

Resources

Stars

2 stars

Watchers

1 watching

Forks

Releases

Packages

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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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table

Golang tool for performing table based filtering operations. Supports CSV, JSON and md tables. This tool works similar to jq. Where you pass a set of filters or queries to mutate the csv data or extract lines that interest you.

There are various output modifiers like:

  • csv: Default csv output.
  • md: Markdown table.
  • json: Json output.
  • pretty: Pretty ASCII table similar to markdown.
  • html: HTML table.

Here is a simple usage of table: Simple example usage

You can select columns to compare to values by using:

  • .<column name>: Or for column names that contain spaces ->."<column name>".
  • $<column index>: Similar to AWK.

Comparing numbers is also supported.

Predefined variables

This project is heavily inspired by AWK (as all things that are good). So here are some predefined variables you can utilize:

  • NF: Number of fields.
  • FNR: Current record/row number (This is zero indexed).
  • NR: Record/Row count.

Install

Install using go install:

go install github.com/soerlemans/table@latest

Diclaimer: This project is not feature complete or production ready, bugs will arise.

Example

Here is an example usage of table:

table '.Department == "Engineering" | head 4 | sort "Username" | md "Username", "First name", "Last name", "Department" ' data/example.csv

Output:

| Username | First name | Last name | Department |
| -------------- | ---------- | --------- | ----------- |
| jenkins46 | Mary | Jenkins | Engineering |
| jenkins9993424 | Bob | Jenkins | Engineering |
| jenkins99999 | VanDame | Jenkins | Engineering |
| jenkins9da33 | Herald | Jenkins | Engineering |

Help

Version: 0.1
Usage: table [--file FILE] [--stdin] [--field-separator FIELD-SEPARATOR] [--csv] [--json] [--excel] [PROGRAMTEXT [INPUTFILES [INPUTFILES ...]]]
Positional arguments:
PROGRAMTEXT Filter to execute.
INPUTFILES Files to source as input.
Options:
--file FILE, -f FILE Path to file containing filters.
--stdin Specifies if the program should read from stdin. [default: false]
--field-separator FIELD-SEPARATOR, -F FIELD-SEPARATOR
Define the field separator.
--csv Define that input is CSV (default).
--json Define that input is JSON.
--excel Define that input is Excel.
--help, -h display this help and exit

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Golang tool for performing table based filtering operations. Supports CSV, JSON and md tables.

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