---
title: "awesome-n8n-templates vs go-streams"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/enescingoz-awesome-n8n-templates-vs-reugn-go-streams"
tools: ["enescingoz-awesome-n8n-templates", "reugn-go-streams"]
---

# awesome-n8n-templates vs go-streams

*GraphCanon updated Jul 15, 2026*

## Verdict

Pick awesome-n8n-templates when license: awesome-n8n-templates is Other, go-streams is MIT; pick go-streams when license: go-streams is MIT, 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. [go-streams](https://pkg.go.dev/github.com/reugn/go-streams) has 2.2k stars, 174 forks, and 11 open issues, last pushed Jan 14, 2026. Figures are from public GitHub metadata via [awesome-n8n-templates's repository](https://github.com/enescingoz/awesome-n8n-templates) and [go-streams's repository](https://github.com/reugn/go-streams).

| | [awesome-n8n-templates](/tools/enescingoz-awesome-n8n-templates.md) | [go-streams](/tools/reugn-go-streams.md) |
| --- | --- | --- |
| Tagline | Repository containing over 280 free automation templates for n8n, supporting a variety of services including chatbots and DevOps. | A lightweight stream processing library for Go |
| Stars | 23,810 | 2,174 |
| Forks | 6,240 | 174 |
| Open issues | 25 | 11 |
| Language | - | Go |
| 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 | MIT |
| 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) | [go-streams](/tools/reugn-go-streams.md) |
| --- | --- | --- |
| Maintenance | Very active (96%) | Slowing (36%) |
| Days since push | 5d | 181d |
| Open issues (now) | 25 | 11 |
| Full report | [trust report](/tools/enescingoz-awesome-n8n-templates/trust.md) | [trust report](/tools/reugn-go-streams/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, go-streams is MIT.
- 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: automation-templates, n8n-template, no-code-automation, self-hosted.
- 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 go-streams if…

- License: go-streams is MIT, awesome-n8n-templates is Other.
- Tags unique to go-streams: aerospike, data-pipeline, data-stream, etl.
- Leaner open-issue backlog (11).

## 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 go-streams

- Last GitHub push was 182 days ago (slowing maintenance, Jan 14, 2026). Validate activity before betting a new project on go-streams.
- 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 go-streams?

awesome-n8n-templates: Repository containing over 280 free automation templates for n8n, supporting a variety of services including chatbots and DevOps.. go-streams: A lightweight stream processing library for Go. See the comparison table for live GitHub stats and shared categories.

### When should I choose awesome-n8n-templates over go-streams?

Choose awesome-n8n-templates over go-streams when License: awesome-n8n-templates is Other, go-streams is MIT; 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: automation-templates, n8n-template, no-code-automation, self-hosted; 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 go-streams over awesome-n8n-templates?

Choose go-streams over awesome-n8n-templates when License: go-streams is MIT, awesome-n8n-templates is Other; Tags unique to go-streams: aerospike, data-pipeline, data-stream, etl; Leaner open-issue backlog (11).

### 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 go-streams?

Last GitHub push was 182 days ago (slowing maintenance, Jan 14, 2026). Validate activity before betting a new project on go-streams. 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 go-streams more popular on GitHub?

awesome-n8n-templates has more GitHub stars (23,810 vs 2,174). Stars measure visibility, not whether either tool fits your constraints.

### Are awesome-n8n-templates and go-streams open source?

Yes - both are open-source projects on GitHub (awesome-n8n-templates: Other, go-streams: MIT).

### Where can I find alternatives to awesome-n8n-templates or go-streams?

GraphCanon lists graph-backed alternatives at [awesome-n8n-templates alternatives](/tools/enescingoz-awesome-n8n-templates/alternatives) and [go-streams alternatives](/tools/reugn-go-streams/alternatives) ([awesome-n8n-templates markdown twin](/tools/enescingoz-awesome-n8n-templates/alternatives.md), [go-streams markdown twin](/tools/reugn-go-streams/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-reugn-go-streams.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 go-streams?

awesome-n8n-templates: Very active. go-streams: 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 go-streams?

GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [awesome-n8n-templates trust report](/tools/enescingoz-awesome-n8n-templates/trust); [go-streams trust report](/tools/reugn-go-streams/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/_
