N8n Code Python

by czlonkowski19cd793f4789No license6.3K starsListed Oct 8, 2026Updated Oct 8, 2026Repository updated 3 weeks ago

Write Python in n8n Code nodes (native Python, `language` pythonNative, n8n 2.x). Use when the user explicitly wants Python in a Code node, when migrating old Pyodide/"Python (Beta)" code that used _input/_json/_node/_now, or when a Python Code node fails with NameError, "Security violations detected", "Import of standard library module … is disallowed", "__build_class__ not found", "A 'json' property isn't a dictionary", or "Python runner unavailable". Covers the only two variables (_items/_item), dict-only access, imports blocked by default, the sandbox's denied builtins, accepted return shapes, and how errors interact with onError. JavaScript is the default for Code nodes — native Python has no n8n helpers and, by default, no imports. EXCEPTION — for Python in the AI-agent-callable Custom Code Tool (@n8n/n8n-nodes-langchain.toolCode), use the n8n-code-tool skill instead (input is _query, return must be a string).

AI-generated overview

Guides writing Python inside n8n Code nodes, covering variables, sandbox limits, return shapes and errors.

What it does
Explains how native Python Code nodes work in n8n 2.x, including the only two available variables, dict-only access, blocked imports, denied builtins and accepted return shapes. It also documents how failures interact with onError and provides a migration table from the old Pyodide helpers. It is an instruction-only reference with no scripts.
When to use it
Use when a user explicitly wants Python in an n8n Code node, when migrating legacy Pyodide or Python (Beta) code, or when a Python Code node fails with errors such as NameError, security violations, disallowed imports or a missing Python runner.
Requirements
No scripts or packages; it is documentation only. It assumes an n8n 2.x instance with a Python task runner for the described behavior, and notes that imports depend on self-hosted allowlist configuration.

Python Code Node (native)

Since n8n 2.0 the Code node's Python runs as native Python in a task runner (language: "pythonNative"). The old Pyodide "Python (Beta)" is gone, and with it every n8n helper it had: _input, _json, _node, _now, _today and _jmespath all raise NameError now. Code copied from old templates, forum posts or older docs usually breaks on this.


JavaScript first — stronger than before

Native Python gives you two variables and plain Python, and by default no imports: no json, datetime or re. Everything n8n-specific ($('Node'), $jmespath, Luxon, this.helpers.httpRequest, static data) exists only in JavaScript. Use Python only when the user explicitly asks for it. Even then, first check whether an expression, Edit Fields, or a native node (Crypto, Date & Time, HTML, XML) does the job. See n8n-code-javascript and the transform gatekeeper in n8n-expression-syntax.


Quick start

python
# Run Once for All Items (default mode)return [    {"json": {"name": it["json"]["name"], "revenue": it["json"]["revenue"]}}    for it in _items    if it["json"].get("active")]
python
# Run Once for Each Itemrow = _item["json"]return {"json": {**row, "name_upper": (row.get("name") or "").upper()}}

Node config: {"language": "pythonNative", "mode": "runOnceForAllItems" | "runOnceForEachItem", "pythonCode": "..."} on n8n-nodes-base.code typeVersion 2.


The only inputs: _items and _item

ModeVariableShape
Run Once for All Items_itemslist of plain dicts {"json": {...}, "pairedItem": {...}}
Run Once for Each Item_itemone plain dict {"json": {...}, "pairedItem": {...}}
  • Each variable exists only in its own mode. _items in each-item mode (or _item in all-items mode) raises NameError.
  • Dict access only. it["json"]["name"] or it["json"].get("name"). it.json.name raises AttributeError: 'dict' object has no attribute 'json'.
  • No other nodes. There is no _node / $('Node') equivalent. If you need data from another branch, bring it in with Merge first, or read it in JavaScript.
  • Webhook payloads are under ["body"]: _items[0]["json"].get("body", {}).get("email").
  • Binary data isn't covered here. Read and write binary in JavaScript (see n8n-binary-and-data).
  • pairedItem: returning _items / _item keeps it. When you build new dicts and downstream uses $('Node').item, add "pairedItem": {"item": i} to each returned item. That isn't verified on native Python yet, so test-run before relying on it.
  • Missing keys: prefer .get(key, default). row["missing"] raises KeyError.

Migration table for legacy code:

Legacy (Pyodide)Native
_input.all()_items
_input.first()["json"]_items[0]["json"] (guard if _items)
_input.item / _json_item / _item["json"]
_node["X"]not available: Merge upstream, or use JS
_now, _todaynot available: pass {{ $now.toISO() }} in via Edit Fields, or use JS
_jmespath(data, q)not available: $jmespath in an expression, or a comprehension
item.json.fielditem["json"]["field"]

Imports: blocked by default

Every import (standard library and third-party) is checked against an allowlist before the code runs. The default allowlist is empty, so even import json rejects the whole node:

Security violations detectedLine 1: Import of standard library module 'json' is disallowed. Allowed stdlib modules: none
  • n8n Cloud: no imports at all.
  • Self-hosted: the admin can allowlist modules in the task-runner config (see n8n-self-hosting → TASK_RUNNERS.md). Some instances therefore allow json, datetime and re, and most don't.
  • Default to import-free code. If an import would really help, confirm it first: a one-line test node import json + return [{"json": {"ok": True}}], or ask the user. Never assume.
  • Without imports: parse JSON strings upstream ({{ JSON.parse($json.payload) }} in Edit Fields). Do date math in expressions (Luxon) or JS. ISO-8601 strings still compare and sort correctly as plain strings. Use the Crypto node for hashing.
  • requests, pandas and numpy are never available unless the admin built a custom runner image. Use the HTTP Request node for HTTP.

Sandbox limits (these fail even without imports)

You writeWhat happensUse instead
eval, exec, compile, open, input, type, getattr, setattr, hasattr, vars, dir, globals, locals, object, memoryview, breakpointNameError: name 'type' is not defined (runtime)isinstance(x, dict); key in d / d.get(key)
class Foo: ...__build_class__ not found (runtime)dicts + functions
x.__class__, "{0.__class__}".format(x), __import__("json")Security violations detected (whole node rejected before running)—
global counter inside a functionNameError: name 'counter' is not defined, because your code runs inside a wrapper functionnonlocal counter

Everything else in plain Python works (verified): comprehensions, generators, lambdas, closures, recursion, try/except, f-strings / .format() / %, sorted/min/max/sum/any/all/ enumerate/zip/round, sets, isinstance, print() (output goes to the browser console).


Return shapes (verified)

Observed on n8n 2.38.5. The auto-wrapping and passthrough behaviours below are undocumented and could change in a later release. Re-check with a test run after upgrading n8n.

Run Once for All Items

ReturnResult
[{"json": {...}}, ...]canonical, N items
[{...}, ...] (plain dicts)auto-wrapped under json, N items
{"json": {...}} or a single plain dict1 item
_items (mutated in place)passthrough with your changes
None / no returnerror Cannot read properties of null (reading 'json')

Run Once for Each Item

ReturnResult
{"json": {...}}, a plain dict, or _item1 item
Nonethe item is dropped (a built-in filter)
a listerror A 'json' property isn't a dictionary [item 0]

Value conversion on output: tuple becomes a list, set becomes the string "{1, 2}", and a datetime becomes str(dt) ("2026-09-16 10:18:00.025792", not ISO). Convert explicitly (sorted(s), dt.isoformat()).

Prefer the explicit [{"json": ...}] in all-items mode and {"json": ...} in each-item mode. The auto-wrapping works, but the explicit shape makes the intent obvious to the next reader.


Errors and onError

A plain raise ValueError("bad row") fails the node with that message. When the node has an onError continue mode, the three failure kinds behave differently (verified):

FailurecontinueErrorOutputcontinueRegularOutput
Runtime exception (raise, KeyError, NameError, denied builtin){"error": "<message>"} on the error output (main[1]) ✅{"error": "<message>"} on the main output
Static rejection (Security violations detected: import, dunder)node marked failed, but the input items, unchanged, go out the success output; main[1] stays emptyinput items, unchanged, on the main output
Bad return shape (list in each-item mode, None in all-items mode)same: unchanged input on the success outputsame

The last two are silent-data traps: downstream nodes receive unprocessed input as if the code had run, and the execution still shows success. No error branch catches them. Prevent them (no imports unless confirmed, correct return shape) and confirm with a real test run, checking the Code node's status and output (see n8n-error-handling).

Other messages:

  • Python runner unavailable: Python 3 is missing from this system: the self-hosted instance has no Python task runner (the stock image ships none). It's an infrastructure problem, not a code problem. See n8n-self-hosting → TASK_RUNNERS.md.
  • validate_node / validate_workflow catch a few Python mistakes (import requests, missing return, return None). They do not catch _input/_json, dot access, blocked stdlib imports, dunder access or classes. A test execution is the only reliable check.

Performance

Each Python Code node costs roughly 0.4 s (about 1 s when the runner is cold), noticeably more than a JS Code node or an expression. Process lists in Run Once for All Items mode rather than per item, and don't chain several small Python nodes where one would do.


Checklist

  • The user actually asked for Python. Otherwise JS, an expression, or a native node.
  • Mode matches the variable: _items (all items) / _item (each item).
  • Only dict access. No _input, _json, _node, _now or _jmespath.
  • No import unless confirmed allowlisted on this instance.
  • No classes, type(), getattr/hasattr or dunders. nonlocal instead of global.
  • Return shape fits the mode. Sets and datetimes converted explicitly.
  • Ran a real test execution and inspected the output items (validation alone won't catch the traps above).

Reference

  • COMMON_PATTERNS.md [blocked]: 12 import-free patterns, each verified on a live n8n instance (filter, aggregate, group, dedupe, top N, flatten, validate, drop items, text report, safe nested access, running totals, ISO timestamps).

Related skills

  • n8n-code-javascript: the default for Code nodes, with all n8n helpers.
  • n8n-expression-syntax: $jmespath, Luxon and the transform gatekeeper, often a better fit than any Code node.
  • n8n-code-tool: Python in the AI-agent Custom Code Tool (_query, returns a string).
  • n8n-error-handling: wiring error outputs; the passthrough trap above.
  • n8n-self-hosting: enabling the Python task runner and allowlisting modules.

Source and attribution

Source:czlonkowski/n8n-skillsinskills/n8n-code-pythonat commit19cd793

License: No license

Content belongs to its original authors. SourceWeft indexes it from a public repository.

Report or request removal

More from czlonkowski/n8n-skills

Using N8n Mcp Skills

czlonkowski

Routes n8n workflow tasks to specialist skills and documents the n8n-mcp tool surface.

AI & Agents6.3Kupdated 3 weeks ago

N8n Validation Expert

czlonkowski

Guides interpretation and fixing of n8n workflow validation errors, warnings and false positives.

Software Development6.3Kupdated 3 weeks ago

N8n Subworkflows

czlonkowski

Guides building reusable, composable n8n sub-workflows with typed inputs, clear contracts and correct call modes.

AI & Agents6.3Kupdated 3 weeks ago

N8n Multi Instance

czlonkowski

Use when an n8n-mcp account targets more than one n8n instance — i.e. the `n8n_instances` tool is available, the user mentions multiple n8n instances or environments (prod vs staging, several teams or clients), a workflow / datatable / credential / execution call returns an unexpected NOT_FOUND or reads data you don't recognize, or a credential create/update/delete is refused with an `INSTANCE_AMBIGUOUS` error. Covers choosing and switching which instance this MCP session targets, verifying the target before high-stakes work — credential writes above all — and recovering from misroutes and ambiguous-write fail-closes. Always consult this skill before operating on a specific instance, before any credential create/update/delete on a multi-instance account, or when a call hits the wrong/empty data or an `INSTANCE_AMBIGUOUS` error.

Awaiting classification6.3Kupdated 3 weeks ago

N8n Mcp Tools Expert

czlonkowski

Guides an agent in correctly using n8n-mcp MCP tools to search nodes, validate configs, and manage n8n workflows.

AI & Agents6.3Kupdated 3 weeks ago

N8n Expression Syntax

czlonkowski

Guides writing and debugging n8n expressions, including {{}} syntax, $json/$node variables, and $jmespath queries.

Software Development6.3Kupdated 3 weeks ago