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pyiron Demonstration for Platform Material Digital

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Based on the NFDI4Ing Workflow Benchmark we demonstrate the interoperability of three different pyiron versions, namely:

  • pyiron_base - The classical pyiron workflow framework has been extended for functional programming, by introducing a @job decorator. The pyiron_base package is recommended for projects from the previous funding periods of the Platform Material Digital who are already familiar with the classical pyiron workflow framework.
  • pyiron_workflow - Based on the feedback from the previous funding periods of the Platform Material Digital we introduced pyiron_workflow as functional workflow environment. pyiron_workflow provides a visual programming interface to simplify the use and development of workflows for non technical users.
  • executorlib - executorlib is designed as minimal extension to the Python programming language to introduce workflow capabilities without changing the Python syntax, it is consequently the optimal solution for users already experienced with the Python programming language, as it simply extends the concurrent.futures.Executor interface from the standard library.

Demonstration: Binder

Screenshot:

Workflow

The NFDI4Ing Workflow Benchmark is implemented with each of the workflow frameworks, stored in the Python Workflow Definition and afterwards reloaded with the other two frameworks. This highlights the interoperability of the workflow frameworks developed as part of the pyiron project.

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pyiron demonstration for platform material digital

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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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pyiron Demonstration for Platform Material Digital

PipelineBinder

Based on the NFDI4Ing Workflow Benchmark we demonstrate the interoperability of three different pyiron versions, namely:

  • pyiron_base - The classical pyiron workflow framework has been extended for functional programming, by introducing a @job decorator. The pyiron_base package is recommended for projects from the previous funding periods of the Platform Material Digital who are already familiar with the classical pyiron workflow framework.
  • pyiron_workflow - Based on the feedback from the previous funding periods of the Platform Material Digital we introduced pyiron_workflow as functional workflow environment. pyiron_workflow provides a visual programming interface to simplify the use and development of workflows for non technical users.
  • executorlib - executorlib is designed as minimal extension to the Python programming language to introduce workflow capabilities without changing the Python syntax, it is consequently the optimal solution for users already experienced with the Python programming language, as it simply extends the concurrent.futures.Executor interface from the standard library.

Demonstration: Binder

Screenshot:

Workflow

The NFDI4Ing Workflow Benchmark is implemented with each of the workflow frameworks, stored in the Python Workflow Definition and afterwards reloaded with the other two frameworks. This highlights the interoperability of the workflow frameworks developed as part of the pyiron project.

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pyiron demonstration for platform material digital

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, '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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Repository files navigation

pyiron Demonstration for Platform Material Digital

PipelineBinder

Based on the NFDI4Ing Workflow Benchmark we demonstrate the interoperability of three different pyiron versions, namely:

  • pyiron_base - The classical pyiron workflow framework has been extended for functional programming, by introducing a @job decorator. The pyiron_base package is recommended for projects from the previous funding periods of the Platform Material Digital who are already familiar with the classical pyiron workflow framework.
  • pyiron_workflow - Based on the feedback from the previous funding periods of the Platform Material Digital we introduced pyiron_workflow as functional workflow environment. pyiron_workflow provides a visual programming interface to simplify the use and development of workflows for non technical users.
  • executorlib - executorlib is designed as minimal extension to the Python programming language to introduce workflow capabilities without changing the Python syntax, it is consequently the optimal solution for users already experienced with the Python programming language, as it simply extends the concurrent.futures.Executor interface from the standard library.

Demonstration: Binder

Screenshot:

Workflow

The NFDI4Ing Workflow Benchmark is implemented with each of the workflow frameworks, stored in the Python Workflow Definition and afterwards reloaded with the other two frameworks. This highlights the interoperability of the workflow frameworks developed as part of the pyiron project.

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pyiron demonstration for platform material digital

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, '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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Repository files navigation

pyiron Demonstration for Platform Material Digital

PipelineBinder

Based on the NFDI4Ing Workflow Benchmark we demonstrate the interoperability of three different pyiron versions, namely:

  • pyiron_base - The classical pyiron workflow framework has been extended for functional programming, by introducing a @job decorator. The pyiron_base package is recommended for projects from the previous funding periods of the Platform Material Digital who are already familiar with the classical pyiron workflow framework.
  • pyiron_workflow - Based on the feedback from the previous funding periods of the Platform Material Digital we introduced pyiron_workflow as functional workflow environment. pyiron_workflow provides a visual programming interface to simplify the use and development of workflows for non technical users.
  • executorlib - executorlib is designed as minimal extension to the Python programming language to introduce workflow capabilities without changing the Python syntax, it is consequently the optimal solution for users already experienced with the Python programming language, as it simply extends the concurrent.futures.Executor interface from the standard library.

Demonstration: Binder

Screenshot:

Workflow

The NFDI4Ing Workflow Benchmark is implemented with each of the workflow frameworks, stored in the Python Workflow Definition and afterwards reloaded with the other two frameworks. This highlights the interoperability of the workflow frameworks developed as part of the pyiron project.

About

pyiron demonstration for platform material digital

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, '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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pyiron Demonstration for Platform Material Digital

PipelineBinder

Based on the NFDI4Ing Workflow Benchmark we demonstrate the interoperability of three different pyiron versions, namely:

  • pyiron_base - The classical pyiron workflow framework has been extended for functional programming, by introducing a @job decorator. The pyiron_base package is recommended for projects from the previous funding periods of the Platform Material Digital who are already familiar with the classical pyiron workflow framework.
  • pyiron_workflow - Based on the feedback from the previous funding periods of the Platform Material Digital we introduced pyiron_workflow as functional workflow environment. pyiron_workflow provides a visual programming interface to simplify the use and development of workflows for non technical users.
  • executorlib - executorlib is designed as minimal extension to the Python programming language to introduce workflow capabilities without changing the Python syntax, it is consequently the optimal solution for users already experienced with the Python programming language, as it simply extends the concurrent.futures.Executor interface from the standard library.

Demonstration: Binder

Screenshot:

Workflow

The NFDI4Ing Workflow Benchmark is implemented with each of the workflow frameworks, stored in the Python Workflow Definition and afterwards reloaded with the other two frameworks. This highlights the interoperability of the workflow frameworks developed as part of the pyiron project.

About

pyiron demonstration for platform material digital

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, '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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pyiron Demonstration for Platform Material Digital

PipelineBinder

Based on the NFDI4Ing Workflow Benchmark we demonstrate the interoperability of three different pyiron versions, namely:

  • pyiron_base - The classical pyiron workflow framework has been extended for functional programming, by introducing a @job decorator. The pyiron_base package is recommended for projects from the previous funding periods of the Platform Material Digital who are already familiar with the classical pyiron workflow framework.
  • pyiron_workflow - Based on the feedback from the previous funding periods of the Platform Material Digital we introduced pyiron_workflow as functional workflow environment. pyiron_workflow provides a visual programming interface to simplify the use and development of workflows for non technical users.
  • executorlib - executorlib is designed as minimal extension to the Python programming language to introduce workflow capabilities without changing the Python syntax, it is consequently the optimal solution for users already experienced with the Python programming language, as it simply extends the concurrent.futures.Executor interface from the standard library.

Demonstration: Binder

Screenshot:

Workflow

The NFDI4Ing Workflow Benchmark is implemented with each of the workflow frameworks, stored in the Python Workflow Definition and afterwards reloaded with the other two frameworks. This highlights the interoperability of the workflow frameworks developed as part of the pyiron project.

About

pyiron demonstration for platform material digital

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, '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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pyiron Demonstration for Platform Material Digital

PipelineBinder

Based on the NFDI4Ing Workflow Benchmark we demonstrate the interoperability of three different pyiron versions, namely:

  • pyiron_base - The classical pyiron workflow framework has been extended for functional programming, by introducing a @job decorator. The pyiron_base package is recommended for projects from the previous funding periods of the Platform Material Digital who are already familiar with the classical pyiron workflow framework.
  • pyiron_workflow - Based on the feedback from the previous funding periods of the Platform Material Digital we introduced pyiron_workflow as functional workflow environment. pyiron_workflow provides a visual programming interface to simplify the use and development of workflows for non technical users.
  • executorlib - executorlib is designed as minimal extension to the Python programming language to introduce workflow capabilities without changing the Python syntax, it is consequently the optimal solution for users already experienced with the Python programming language, as it simply extends the concurrent.futures.Executor interface from the standard library.

Demonstration: Binder

Screenshot:

Workflow

The NFDI4Ing Workflow Benchmark is implemented with each of the workflow frameworks, stored in the Python Workflow Definition and afterwards reloaded with the other two frameworks. This highlights the interoperability of the workflow frameworks developed as part of the pyiron project.

About

pyiron demonstration for platform material digital

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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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Repository files navigation

pyiron Demonstration for Platform Material Digital

PipelineBinder

Based on the NFDI4Ing Workflow Benchmark we demonstrate the interoperability of three different pyiron versions, namely:

  • pyiron_base - The classical pyiron workflow framework has been extended for functional programming, by introducing a @job decorator. The pyiron_base package is recommended for projects from the previous funding periods of the Platform Material Digital who are already familiar with the classical pyiron workflow framework.
  • pyiron_workflow - Based on the feedback from the previous funding periods of the Platform Material Digital we introduced pyiron_workflow as functional workflow environment. pyiron_workflow provides a visual programming interface to simplify the use and development of workflows for non technical users.
  • executorlib - executorlib is designed as minimal extension to the Python programming language to introduce workflow capabilities without changing the Python syntax, it is consequently the optimal solution for users already experienced with the Python programming language, as it simply extends the concurrent.futures.Executor interface from the standard library.

Demonstration: Binder

Screenshot:

Workflow

The NFDI4Ing Workflow Benchmark is implemented with each of the workflow frameworks, stored in the Python Workflow Definition and afterwards reloaded with the other two frameworks. This highlights the interoperability of the workflow frameworks developed as part of the pyiron project.

About

pyiron demonstration for platform material digital

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