--- title: "awesome-n8n-templates vs fondant" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/enescingoz-awesome-n8n-templates-vs-ml6team-fondant" tools: ["enescingoz-awesome-n8n-templates", "ml6team-fondant"] --- # awesome-n8n-templates vs fondant *GraphCanon updated Jul 11, 2026* ## Verdict Pick awesome-n8n-templates when license: awesome-n8n-templates is Other, fondant is Apache-2.0; pick fondant when license: fondant is Apache-2.0, awesome-n8n-templates is Other. [awesome-n8n-templates](https://n8n.partnerlinks.io/h1pwwf5m4toe) reports 24k GitHub stars, 6.2k forks, and 25 open issues, last pushed Jul 6, 2026. [fondant](https://fondant.ai/en/stable/) has 358 stars, 29 forks, and 57 open issues, last pushed Feb 20, 2026. Figures are from public GitHub metadata via [awesome-n8n-templates's repository](https://github.com/enescingoz/awesome-n8n-templates) and [fondant's repository](https://github.com/ml6team/fondant). | | [awesome-n8n-templates](/tools/enescingoz-awesome-n8n-templates.md) | [fondant](/tools/ml6team-fondant.md) | | --- | --- | --- | | Tagline | Repository containing over 280 free automation templates for n8n, supporting a variety of services including chatbots and DevOps. | Production-ready data processing made easy and shareable | | Stars | 23,810 | 358 | | Forks | 6,240 | 29 | | Open issues | 25 | 57 | | Language | - | Python | | Adopt for | awesome-n8n-templates is aimed at users who are looking to rapidly deploy a wide variety of pre-built automation workflows using the n8n platform, spanning services like email, social media, AI agents, and DevOps. | - | | Persona | - | - | | Runtime | - | - | | License | Other | Apache-2.0 | | Categories | AI Agents, Data & Retrieval | Data & Retrieval | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [awesome-n8n-templates](/tools/enescingoz-awesome-n8n-templates.md) | [fondant](/tools/ml6team-fondant.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Slowing (36%) | | Days since push | 5d | 141d | | Open issues (now) | 25 | 57 | | Owner type | User | Organization | | Full report | [trust report](/tools/enescingoz-awesome-n8n-templates/trust.md) | [trust report](/tools/ml6team-fondant/trust.md) | ## Decision facts: awesome-n8n-templates - **Pricing:** freemium - The repository offers free access to over 280 ready-to-use workflow templates which can be used within the n8n platform, a tool that is both free and open-source. Note that any paid subscriptions or付费 - **Requirements:** * Requires an active account on n8n to import and utilize templates. - **Adopt for:** awesome-n8n-templates is aimed at users who are looking to rapidly deploy a wide variety of pre-built automation workflows using the n8n platform, spanning services like email, social media, AI agents, and DevOps. ## Choose when ### Choose awesome-n8n-templates if… - License: awesome-n8n-templates is Other, fondant is Apache-2.0. - Pricing: The repository offers free access to over 280 ready-to-use workflow templates which can be used within the n8n platform, a tool that is both free and open-source. Note that any paid subscriptions or付费. - Requirements: * Requires an active account on n8n to import and utilize templates.. - Tags unique to awesome-n8n-templates: n8n-template, no-code-automation, self-hosted, automation-templates. - Also covers AI Agents. - * When you're leveraging n8n specifically and need ready-to-use automated workflows for various platforms such as Gmail, Telegram, Slack, etc. ### Choose fondant if… - License: fondant is Apache-2.0, awesome-n8n-templates is Other. - Tags unique to fondant: fine-tuning, machine-learning, python, pipeline. ## When NOT to use awesome-n8n-templates - * When your automation needs are highly specialized and none of the existing over 280 provided templates match those requirements, necessitating custom development. - * If you're not using n8n for your automation processes, opting instead for other platforms that do not support these specific .json template files. ## When NOT to use fondant - Last GitHub push was 142 days ago (slowing maintenance, Feb 20, 2026). Validate activity before betting a new project on fondant. - Data & Retrieval: Skip a heavy ingestion framework when your corpus is small and static; a script plus the embedding API is enough. ## Common questions ### What is the difference between awesome-n8n-templates and fondant? awesome-n8n-templates: Repository containing over 280 free automation templates for n8n, supporting a variety of services including chatbots and DevOps.. fondant: Production-ready data processing made easy and shareable. See the comparison table for live GitHub stats and shared categories. ### When should I choose awesome-n8n-templates over fondant? Choose awesome-n8n-templates over fondant when License: awesome-n8n-templates is Other, fondant is Apache-2.0; Pricing: The repository offers free access to over 280 ready-to-use workflow templates which can be used within the n8n platform, a tool that is both free and open-source. Note that any paid subscriptions or付费; Requirements: * Requires an active account on n8n to import and utilize templates.; Tags unique to awesome-n8n-templates: n8n-template, no-code-automation, self-hosted, automation-templates; Also covers AI Agents; * When you're leveraging n8n specifically and need ready-to-use automated workflows for various platforms such as Gmail, Telegram, Slack, etc. ### When should I choose fondant over awesome-n8n-templates? Choose fondant over awesome-n8n-templates when License: fondant is Apache-2.0, awesome-n8n-templates is Other; Tags unique to fondant: fine-tuning, machine-learning, python, pipeline. ### When should I avoid awesome-n8n-templates? * When your automation needs are highly specialized and none of the existing over 280 provided templates match those requirements, necessitating custom development. * If you're not using n8n for your automation processes, opting instead for other platforms that do not support these specific .json template files. ### When should I avoid fondant? Last GitHub push was 142 days ago (slowing maintenance, Feb 20, 2026). Validate activity before betting a new project on fondant. Data & Retrieval: Skip a heavy ingestion framework when your corpus is small and static; a script plus the embedding API is enough. ### Is awesome-n8n-templates or fondant more popular on GitHub? awesome-n8n-templates has more GitHub stars (23,810 vs 358). Stars measure visibility, not whether either tool fits your constraints. ### Are awesome-n8n-templates and fondant open source? Yes - both are open-source projects on GitHub (awesome-n8n-templates: Other, fondant: Apache-2.0). ### Where can I find alternatives to awesome-n8n-templates or fondant? GraphCanon lists graph-backed alternatives at [awesome-n8n-templates alternatives](/tools/enescingoz-awesome-n8n-templates/alternatives) and [fondant alternatives](/tools/ml6team-fondant/alternatives) ([awesome-n8n-templates markdown twin](/tools/enescingoz-awesome-n8n-templates/alternatives.md), [fondant markdown twin](/tools/ml6team-fondant/alternatives.md)), ranked by typed relationship edges rather than popularity votes. ### Is there a machine-readable version of this comparison? Yes. The markdown twin at [this comparison](/compare/enescingoz-awesome-n8n-templates-vs-ml6team-fondant.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, awesome-n8n-templates or fondant? awesome-n8n-templates: Very active. fondant: Slowing. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance. ### Where are the full trust reports for awesome-n8n-templates and fondant? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [awesome-n8n-templates trust report](/tools/enescingoz-awesome-n8n-templates/trust); [fondant trust report](/tools/ml6team-fondant/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=enescingoz-awesome-n8n-templates`](/api/graphcanon/graph?tool=enescingoz-awesome-n8n-templates) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_