N8n Code Python

This helps you write Python in n8n Code nodes, but here's the catch: you should probably use JavaScript instead for 95% of cases. Python in n8n is severely limited. No external libraries at all, so no requests, pandas, or numpy. Just standard library stuff like json, datetime, and re. The main gotcha is webhook data lives under body, not at the root, which trips people up constantly. Return format must be a list of dictionaries with a json key or your workflow breaks. Use Python only when you genuinely need specific standard library functions or you're way more comfortable with Python syntax. Otherwise, stick with JavaScript for full n8n helper functions and better documentation.

skills.sh installs: 215
GitHub stars: 39.4K
last updated: Jun 3, 2026

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Install

$ npx -y skills add sickn33/antigravity-awesome-skills --skill n8n-code-python --agent claude-code

Installs into .claude/skills of the current project.

Files

Python Code Node (Native)

When to Use

Use for bounded Python transformations in an n8n Code node when native nodes or expressions are insufficient. Check the installed n8n version and task runner first.

Runtime contract

n8n 2 removed the legacy Pyodide runtime. Native Python uses _items in all-items mode and _item in per-item mode; legacy _input, _json, _node and _now helpers are unavailable. Self-hosted imports depend on installed runner packages and explicit allowlists. Cloud imports may be unavailable, including standard modules. JavaScript imports are restricted too; switching languages does not provide unrestricted filesystem, networking or package access.

Examples

All-items mode, with no imports:

return [
    {"json": {"id": item["json"].get("id"), "processed": True},
     "pairedItem": {"item": index}}
    for index, item in enumerate(_items)
    if item["json"].get("active")
]

Per-item mode:

return {"json": {**_item["json"], "name_upper": (_item["json"].get("name") or "").upper()}}

SKILL.md on GitHub

Details

Repository: github.com/sickn33/antigravity-awesome-skills
Categories: Automation & Workflows, Python
First seen: Jun 3, 2026