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Original research · 2026-06-12

The State of n8n Templates 2026

We pulled 497 free templates from the public n8n.io community library and ran every one through static quality analysis: node types, versions, graph structure, and embedded secrets. 28.2% have at least one detectable issue — before a single node executes.

Key findings

What 497 free templates look like up close

28.2%

ship with at least one detectable issue — before credentials are added or a single node runs

1 in 7

depend on third-party community node packages (14.9%) — they will not run on a fresh n8n install without extra installation

7.2%

use superseded major versions of core nodes (HTTP Request, Set, Code, IF, Switch, Merge…)

5.0%

contain functional nodes that are not connected to the workflow graph at all

2.2%

have a hard structural failure: removed node types, connections to nodes that don't exist, or no trigger

74.0%

of templates in the current library use AI / LangChain nodes — the AI-agent wave is the library now

Issue breakdown

Every issue class, counted

IssueTemplatesShareWhy it matters
Requires community node package7414.9%Won't run out of the box; extra install needed (often unavailable on n8n Cloud)
Outdated core-node major version367.2%Pinned to superseded versions of HTTP Request, Set, Code, IF, Switch, Merge, Sheets, Gmail…
Disconnected functional nodes255.0%Leftover nodes not wired into the graph — dead weight or missing logic
Deprecated node types183.6%Function, Cron, legacy OpenAI, Item Lists, Spreadsheet File — hidden from the editor, unmaintained
Broken connections51.0%Connections reference node names that don't exist in the export
Removed node types30.6%Read/Write Binary File — removed in n8n v1; the workflow cannot run as exported
No trigger node30.6%Cannot be activated or executed as imported
Hardcoded API secret10.2%A live API key embedded in node parameters, published publicly

Categories overlap — a template can require a community package and use deprecated nodes. 71.8% of the sample passed every static check; the median template has 13 functional nodes.

Methodology & limitations

How we measured — and what this can't see

Sample. The first 497 free templates returned by the public n8n.io templates API in default browse order on 2026-06-12 (out of ~10,000 in the library). Paid listings were excluded — their workflow JSON is not public. Browse order favors recent, recommended workflows, so the long tail of the library likely fares worse than this sample.

Checks. Pure static analysis of each exported workflow JSON: removed node types (Read/Write Binary File, Start), deprecated node types (Function, Cron, legacy OpenAI, Item Lists, Spreadsheet File), superseded major versions of ten core nodes, third-party community package dependencies, graph integrity (broken connections, orphan nodes, missing triggers), and credential-shaped literals in parameters. No community workflow was executed, and no author is identified in the findings.

The floor, not the ceiling. Static analysis cannot see the failure classes that dominate real-world n8n breakage: wrong credential scopes, changed API behavior, expression bugs, and logic errors that only surface at runtime. A template can pass every check in this study and still fail on first execution — which is exactly why every template we sell is executed end-to-end on a live n8n instance before it is listed. The static checks above are the weakest gate in that pipeline.

Licensed CC BY 4.0 — cite this page. Re-runs planned as the library grows.

FAQ

About this study

How was the sample selected?
We collected the first 497 free templates returned by the public n8n.io templates API in default browse order on 2026-06-12 (paid listings excluded — their workflow JSON is not public). Browse order favors recent and recommended workflows, so this sample likely understates issues in the long tail of the ~10,000-template library.
Did you execute the community workflows?
No. Every check is static analysis of the exported workflow JSON — node types, type versions, graph structure, and parameter contents. No community workflow was imported into an instance or executed, and no author is named in the findings. The dataset references templates only by their public listing.
Why does static analysis understate the real failure rate?
Static checks catch what is visible in the JSON: removed nodes, broken graphs, missing packages. They cannot catch wrong credentials scopes, expired API behavior, expression bugs, or logic errors — the classes of failure that only appear at runtime. The 28.2% figure is a floor, not a ceiling.
How are the templates in this store different?
Every template we sell passes the inverse of this study's limitation: it is deployed to a live n8n instance, executed end-to-end with real credentials, and verified node by node before listing. The static checks in this study are the weakest gate in our release pipeline.
Can I use this data?
Yes — the full per-template dataset (CSV) and summary (JSON) are downloadable below. Cite this page as the source. We plan to re-run the study as the library grows.