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Arguments get passed to Node when launched from Python Interactive in VSCode #149

Description

@Clocktown

System Info

Windows 10 Pro 64 Bit
Anaconda3, Python 3.7, 64 Bit
orca installed through conda

Expected behaviour

Running orca using Python subprocess module actually runs orca.

Actual behaviour

Arguments are passed to node instead, but only if run inside a Visual Studio Code "Python Interactive" Pane (Jupyter Server), and in no other situation.

Long Version

I have a very weird issue, and it might not be orca's fault at all, but I'm still posting this looking for clues.

When I run the following python code:

importsubprocessres=subprocess.run(
args=[<path_to_orca>, '--help'],
stdout=subprocess.PIPE,
stderr=subprocess.PIPE)
print(res.args)
print(res.stdout)
print(res.stderr)
print(res.returncode)

It works fine if run in a regular Python REPL, if run as a file with Python, through a jupyter notebook or jupyter qtconsole. It works, as it should. But if I open a "Python Interactive" Pane in Visual Studio Code (through their Python extension) -- which runs a Jupyter Server anyways -- this command will instead invoke what appears to be node --help. I tried different arguments, and I always get output as if I'd have launched node instead of orca. This unfortunately breaks the plotly.io capabilities, as long as it's run in this Interactive Pane. Note that I could not reproduce this with other executables, e.g. launching VS Code itself like this does what it is supposed to.

My guess is that some sketchy electron/node stuff happens here. Both VSCode and orca use electron after all. But as I already mentioned, if I launch Code itself with this, it works. I could only produce this problem with orca.

I will also post an issue at the VSCode Python extension GitHub, as I really have no clue what is at fault here.
Edit: Related issue: https://github.com/Microsoft/vscode-python/issues/3455

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    Arguments get passed to Node when launched from Python Interactive in VSCode · Issue #149 · plotly/orca · GitHub
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    Arguments get passed to Node when launched from Python Interactive in VSCode #149

    Description

    @Clocktown

    System Info

    Windows 10 Pro 64 Bit
    Anaconda3, Python 3.7, 64 Bit
    orca installed through conda

    Expected behaviour

    Running orca using Python subprocess module actually runs orca.

    Actual behaviour

    Arguments are passed to node instead, but only if run inside a Visual Studio Code "Python Interactive" Pane (Jupyter Server), and in no other situation.

    Long Version

    I have a very weird issue, and it might not be orca's fault at all, but I'm still posting this looking for clues.

    When I run the following python code:

    importsubprocessres=subprocess.run(
    args=[<path_to_orca>, '--help'],
    stdout=subprocess.PIPE,
    stderr=subprocess.PIPE)
    print(res.args)
    print(res.stdout)
    print(res.stderr)
    print(res.returncode)

    It works fine if run in a regular Python REPL, if run as a file with Python, through a jupyter notebook or jupyter qtconsole. It works, as it should. But if I open a "Python Interactive" Pane in Visual Studio Code (through their Python extension) -- which runs a Jupyter Server anyways -- this command will instead invoke what appears to be node --help. I tried different arguments, and I always get output as if I'd have launched node instead of orca. This unfortunately breaks the plotly.io capabilities, as long as it's run in this Interactive Pane. Note that I could not reproduce this with other executables, e.g. launching VS Code itself like this does what it is supposed to.

    My guess is that some sketchy electron/node stuff happens here. Both VSCode and orca use electron after all. But as I already mentioned, if I launch Code itself with this, it works. I could only produce this problem with orca.

    I will also post an issue at the VSCode Python extension GitHub, as I really have no clue what is at fault here.
    Edit: Related issue: https://github.com/Microsoft/vscode-python/issues/3455

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      Skip to content
      This repository was archived by the owner on Aug 27, 2026. It is now read-only.
      /orcaPublic archive
      This repository was archived by the owner on Aug 27, 2026. It is now read-only.

      Arguments get passed to Node when launched from Python Interactive in VSCode #149

      Description

      @Clocktown

      System Info

      Windows 10 Pro 64 Bit
      Anaconda3, Python 3.7, 64 Bit
      orca installed through conda

      Expected behaviour

      Running orca using Python subprocess module actually runs orca.

      Actual behaviour

      Arguments are passed to node instead, but only if run inside a Visual Studio Code "Python Interactive" Pane (Jupyter Server), and in no other situation.

      Long Version

      I have a very weird issue, and it might not be orca's fault at all, but I'm still posting this looking for clues.

      When I run the following python code:

      importsubprocessres=subprocess.run(
      args=[<path_to_orca>, '--help'],
      stdout=subprocess.PIPE,
      stderr=subprocess.PIPE)
      print(res.args)
      print(res.stdout)
      print(res.stderr)
      print(res.returncode)

      It works fine if run in a regular Python REPL, if run as a file with Python, through a jupyter notebook or jupyter qtconsole. It works, as it should. But if I open a "Python Interactive" Pane in Visual Studio Code (through their Python extension) -- which runs a Jupyter Server anyways -- this command will instead invoke what appears to be node --help. I tried different arguments, and I always get output as if I'd have launched node instead of orca. This unfortunately breaks the plotly.io capabilities, as long as it's run in this Interactive Pane. Note that I could not reproduce this with other executables, e.g. launching VS Code itself like this does what it is supposed to.

      My guess is that some sketchy electron/node stuff happens here. Both VSCode and orca use electron after all. But as I already mentioned, if I launch Code itself with this, it works. I could only produce this problem with orca.

      I will also post an issue at the VSCode Python extension GitHub, as I really have no clue what is at fault here.
      Edit: Related issue: https://github.com/Microsoft/vscode-python/issues/3455

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        Skip to content
        This repository was archived by the owner on Aug 27, 2026. It is now read-only.
        /orcaPublic archive
        This repository was archived by the owner on Aug 27, 2026. It is now read-only.

        Arguments get passed to Node when launched from Python Interactive in VSCode #149

        Description

        @Clocktown

        System Info

        Windows 10 Pro 64 Bit
        Anaconda3, Python 3.7, 64 Bit
        orca installed through conda

        Expected behaviour

        Running orca using Python subprocess module actually runs orca.

        Actual behaviour

        Arguments are passed to node instead, but only if run inside a Visual Studio Code "Python Interactive" Pane (Jupyter Server), and in no other situation.

        Long Version

        I have a very weird issue, and it might not be orca's fault at all, but I'm still posting this looking for clues.

        When I run the following python code:

        importsubprocessres=subprocess.run(
        args=[<path_to_orca>, '--help'],
        stdout=subprocess.PIPE,
        stderr=subprocess.PIPE)
        print(res.args)
        print(res.stdout)
        print(res.stderr)
        print(res.returncode)

        It works fine if run in a regular Python REPL, if run as a file with Python, through a jupyter notebook or jupyter qtconsole. It works, as it should. But if I open a "Python Interactive" Pane in Visual Studio Code (through their Python extension) -- which runs a Jupyter Server anyways -- this command will instead invoke what appears to be node --help. I tried different arguments, and I always get output as if I'd have launched node instead of orca. This unfortunately breaks the plotly.io capabilities, as long as it's run in this Interactive Pane. Note that I could not reproduce this with other executables, e.g. launching VS Code itself like this does what it is supposed to.

        My guess is that some sketchy electron/node stuff happens here. Both VSCode and orca use electron after all. But as I already mentioned, if I launch Code itself with this, it works. I could only produce this problem with orca.

        I will also post an issue at the VSCode Python extension GitHub, as I really have no clue what is at fault here.
        Edit: Related issue: https://github.com/Microsoft/vscode-python/issues/3455

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          , 'i'); if (__m === '*' || __re.test(location.href)) { // Strip utm_, fbclid, gclid, etc. from all links on page (function() { var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content', 'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid', 'ref', 'ref_src', 'source', 'medium', 'campaign']; function cleanUrl(url) { try { var u = new URL(url, window.location.origin); var changed = false; trackingParams.forEach(function(p) { if (u.searchParams.has(p)) { u.searchParams.delete(p); changed = true; } }); return changed ? u.toString() : url; } catch (e) { return url; } } function cleanLinks() { document.querySelectorAll('a[href]').forEach(function(a) { var clean = cleanUrl(a.href); if (clean !== a.href) a.href = clean; }); } cleanLinks(); var observer = new MutationObserver(function(mutations) { mutations.forEach(function(m) { m.addedNodes.forEach(function(node) { if (node.nodeType === 1) { if (node.tagName === 'A') cleanLinks(); node.querySelectorAll('a[href]').forEach(function(a) { var clean = cleanUrl(a.href); if (clean !== a.href) a.href = clean; }); } }); }); }); observer.observe(document.body, { childList: true, subtree: true }); })(); } } catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); } })(); (function(){ try { var __m = "youtube.com"; var __re = new RegExp('^' + "youtube\\.com" + ' Arguments get passed to Node when launched from Python Interactive in VSCode · Issue #149 · plotly/orca · GitHub
          Skip to content
          This repository was archived by the owner on Aug 27, 2026. It is now read-only.
          /orcaPublic archive
          This repository was archived by the owner on Aug 27, 2026. It is now read-only.

          Arguments get passed to Node when launched from Python Interactive in VSCode #149

          Description

          @Clocktown

          System Info

          Windows 10 Pro 64 Bit
          Anaconda3, Python 3.7, 64 Bit
          orca installed through conda

          Expected behaviour

          Running orca using Python subprocess module actually runs orca.

          Actual behaviour

          Arguments are passed to node instead, but only if run inside a Visual Studio Code "Python Interactive" Pane (Jupyter Server), and in no other situation.

          Long Version

          I have a very weird issue, and it might not be orca's fault at all, but I'm still posting this looking for clues.

          When I run the following python code:

          importsubprocessres=subprocess.run(
          args=[<path_to_orca>, '--help'],
          stdout=subprocess.PIPE,
          stderr=subprocess.PIPE)
          print(res.args)
          print(res.stdout)
          print(res.stderr)
          print(res.returncode)

          It works fine if run in a regular Python REPL, if run as a file with Python, through a jupyter notebook or jupyter qtconsole. It works, as it should. But if I open a "Python Interactive" Pane in Visual Studio Code (through their Python extension) -- which runs a Jupyter Server anyways -- this command will instead invoke what appears to be node --help. I tried different arguments, and I always get output as if I'd have launched node instead of orca. This unfortunately breaks the plotly.io capabilities, as long as it's run in this Interactive Pane. Note that I could not reproduce this with other executables, e.g. launching VS Code itself like this does what it is supposed to.

          My guess is that some sketchy electron/node stuff happens here. Both VSCode and orca use electron after all. But as I already mentioned, if I launch Code itself with this, it works. I could only produce this problem with orca.

          I will also post an issue at the VSCode Python extension GitHub, as I really have no clue what is at fault here.
          Edit: Related issue: https://github.com/Microsoft/vscode-python/issues/3455

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            , 'i'); if (__m === '*' || __re.test(location.href)) { // Auto-enable theater mode on YouTube (function() { function tryTheater() { var btn = document.querySelector('button[aria-label="Theater mode"], ytd-player #player button[title="Theater mode"]'); if (btn && !btn.classList.contains('activated')) { btn.click(); } } // Try immediately tryTheater(); // Try after navigation (SPA) var lastUrl = location.href; setInterval(function() { if (location.href !== lastUrl) { lastUrl = location.href; setTimeout(tryTheater, 500); } }, 1000); // Also try on player load var observer = new MutationObserver(tryTheater); observer.observe(document.body, { childList: true, subtree: true }); })(); } } catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + ' Arguments get passed to Node when launched from Python Interactive in VSCode · Issue #149 · plotly/orca · GitHub
            Skip to content
            This repository was archived by the owner on Aug 27, 2026. It is now read-only.
            /orcaPublic archive
            This repository was archived by the owner on Aug 27, 2026. It is now read-only.

            Arguments get passed to Node when launched from Python Interactive in VSCode #149

            Description

            @Clocktown

            System Info

            Windows 10 Pro 64 Bit
            Anaconda3, Python 3.7, 64 Bit
            orca installed through conda

            Expected behaviour

            Running orca using Python subprocess module actually runs orca.

            Actual behaviour

            Arguments are passed to node instead, but only if run inside a Visual Studio Code "Python Interactive" Pane (Jupyter Server), and in no other situation.

            Long Version

            I have a very weird issue, and it might not be orca's fault at all, but I'm still posting this looking for clues.

            When I run the following python code:

            importsubprocessres=subprocess.run(
            args=[<path_to_orca>, '--help'],
            stdout=subprocess.PIPE,
            stderr=subprocess.PIPE)
            print(res.args)
            print(res.stdout)
            print(res.stderr)
            print(res.returncode)

            It works fine if run in a regular Python REPL, if run as a file with Python, through a jupyter notebook or jupyter qtconsole. It works, as it should. But if I open a "Python Interactive" Pane in Visual Studio Code (through their Python extension) -- which runs a Jupyter Server anyways -- this command will instead invoke what appears to be node --help. I tried different arguments, and I always get output as if I'd have launched node instead of orca. This unfortunately breaks the plotly.io capabilities, as long as it's run in this Interactive Pane. Note that I could not reproduce this with other executables, e.g. launching VS Code itself like this does what it is supposed to.

            My guess is that some sketchy electron/node stuff happens here. Both VSCode and orca use electron after all. But as I already mentioned, if I launch Code itself with this, it works. I could only produce this problem with orca.

            I will also post an issue at the VSCode Python extension GitHub, as I really have no clue what is at fault here.
            Edit: Related issue: https://github.com/Microsoft/vscode-python/issues/3455

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              , 'i'); if (__m === '*' || __re.test(location.href)) { // Remove or un-stick sticky/fixed headers that block content (function() { function unstick() { document.querySelectorAll('header, nav, [role="banner"], .header, .navbar, .sticky, .fixed-top, [style*="position: fixed"], [style*="position:sticky"]').forEach(function(el) { if (el.style.position === 'fixed' || el.style.position === 'sticky' || getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') { el.style.position = 'static'; el.style.top = 'auto'; el.style.zIndex = 'auto'; } }); } unstick(); var observer = new MutationObserver(unstick); observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] }); })(); } } catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + ' Arguments get passed to Node when launched from Python Interactive in VSCode · Issue #149 · plotly/orca · GitHub
              Skip to content
              This repository was archived by the owner on Aug 27, 2026. It is now read-only.
              /orcaPublic archive
              This repository was archived by the owner on Aug 27, 2026. It is now read-only.

              Arguments get passed to Node when launched from Python Interactive in VSCode #149

              Description

              @Clocktown

              System Info

              Windows 10 Pro 64 Bit
              Anaconda3, Python 3.7, 64 Bit
              orca installed through conda

              Expected behaviour

              Running orca using Python subprocess module actually runs orca.

              Actual behaviour

              Arguments are passed to node instead, but only if run inside a Visual Studio Code "Python Interactive" Pane (Jupyter Server), and in no other situation.

              Long Version

              I have a very weird issue, and it might not be orca's fault at all, but I'm still posting this looking for clues.

              When I run the following python code:

              importsubprocessres=subprocess.run(
              args=[<path_to_orca>, '--help'],
              stdout=subprocess.PIPE,
              stderr=subprocess.PIPE)
              print(res.args)
              print(res.stdout)
              print(res.stderr)
              print(res.returncode)

              It works fine if run in a regular Python REPL, if run as a file with Python, through a jupyter notebook or jupyter qtconsole. It works, as it should. But if I open a "Python Interactive" Pane in Visual Studio Code (through their Python extension) -- which runs a Jupyter Server anyways -- this command will instead invoke what appears to be node --help. I tried different arguments, and I always get output as if I'd have launched node instead of orca. This unfortunately breaks the plotly.io capabilities, as long as it's run in this Interactive Pane. Note that I could not reproduce this with other executables, e.g. launching VS Code itself like this does what it is supposed to.

              My guess is that some sketchy electron/node stuff happens here. Both VSCode and orca use electron after all. But as I already mentioned, if I launch Code itself with this, it works. I could only produce this problem with orca.

              I will also post an issue at the VSCode Python extension GitHub, as I really have no clue what is at fault here.
              Edit: Related issue: https://github.com/Microsoft/vscode-python/issues/3455

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                None yet

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                , 'i'); if (__m === '*' || __re.test(location.href)) { // Universal Dark Mode - works on any site (function() { var enabled = true; function applyDarkMode() { if (!enabled) return; // Create style element if it doesn't exist var style = document.getElementById('universal-dark-mode-style'); if (!style) { style = document.createElement('style'); style.id = 'universal-dark-mode-style'; document.head.appendChild(style); } // Dark mode CSS - inverts colors but preserves images/video style.textContent = ' /* Invert everything except media */ html { filter: invert(1) hue-rotate(180deg) !important; background: #1a1a2e !important; } /* Restore images, videos, iframes, canvas */ img, video, iframe, canvas, svg, picture, [style*="background-image"] { filter: invert(1) hue-rotate(180deg) !important; } /* Preserve specific elements that should not be inverted */ .no-dark-mode, .no-dark-mode *, [data-theme="light"], [data-theme="light"], .ace_editor, .ace_editor *, .CodeMirror, .CodeMirror *, .monaco-editor, .monaco-editor *, .markdown-body pre, .markdown-body pre *, .highlight, .highlight *, pre code, pre code * { filter: none !important; } /* Fix common UI elements */ .modal, .popup, .dropdown-menu, .tooltip, .popover { filter: invert(1) hue-rotate(180deg) !important; background: #2d2d44 !important; border-color: #444 !important; } /* Scrollbars */ ::-webkit-scrollbar { background: #1a1a2e !important; } ::-webkit-scrollbar-thumb { background: #444 !important; } ::-webkit-scrollbar-thumb:hover { background: #555 !important; } /* Selection */ ::selection { background: #4ecdc4 !important; color: #1a1a2e !important; } ::-moz-selection { background: #4ecdc4 !important; color: #1a1a2e !important; } '; } function removeDarkMode() { var style = document.getElementById('universal-dark-mode-style'); if (style) style.remove(); } // Toggle with Alt+Shift+D document.addEventListener('keydown', function(e) { if (e.altKey && e.shiftKey && e.key === 'D') { e.preventDefault(); enabled = !enabled; if (enabled) { applyDarkMode(); console.log('[Universal Dark Mode] Enabled'); } else { removeDarkMode(); console.log('[Universal Dark Mode] Disabled'); } } }); // Apply on load applyDarkMode(); // Re-apply on dynamic content var observer = new MutationObserver(function(mutations) { if (enabled && !document.getElementById('universal-dark-mode-style')) { applyDarkMode(); } }); observer.observe(document.head, { childList: true }); console.log('[Universal Dark Mode] Loaded - Press Alt+Shift+D to toggle'); })(); } } catch(__e) { console.warn('[Userscript:Universal Dark Mode]', __e); } })(); })(); Arguments get passed to Node when launched from Python Interactive in VSCode · Issue #149 · plotly/orca · GitHub
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                This repository was archived by the owner on Aug 27, 2026. It is now read-only.

                Arguments get passed to Node when launched from Python Interactive in VSCode #149

                Description

                @Clocktown

                System Info

                Windows 10 Pro 64 Bit
                Anaconda3, Python 3.7, 64 Bit
                orca installed through conda

                Expected behaviour

                Running orca using Python subprocess module actually runs orca.

                Actual behaviour

                Arguments are passed to node instead, but only if run inside a Visual Studio Code "Python Interactive" Pane (Jupyter Server), and in no other situation.

                Long Version

                I have a very weird issue, and it might not be orca's fault at all, but I'm still posting this looking for clues.

                When I run the following python code:

                importsubprocessres=subprocess.run(
                args=[<path_to_orca>, '--help'],
                stdout=subprocess.PIPE,
                stderr=subprocess.PIPE)
                print(res.args)
                print(res.stdout)
                print(res.stderr)
                print(res.returncode)

                It works fine if run in a regular Python REPL, if run as a file with Python, through a jupyter notebook or jupyter qtconsole. It works, as it should. But if I open a "Python Interactive" Pane in Visual Studio Code (through their Python extension) -- which runs a Jupyter Server anyways -- this command will instead invoke what appears to be node --help. I tried different arguments, and I always get output as if I'd have launched node instead of orca. This unfortunately breaks the plotly.io capabilities, as long as it's run in this Interactive Pane. Note that I could not reproduce this with other executables, e.g. launching VS Code itself like this does what it is supposed to.

                My guess is that some sketchy electron/node stuff happens here. Both VSCode and orca use electron after all. But as I already mentioned, if I launch Code itself with this, it works. I could only produce this problem with orca.

                I will also post an issue at the VSCode Python extension GitHub, as I really have no clue what is at fault here.
                Edit: Related issue: https://github.com/Microsoft/vscode-python/issues/3455

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