awesome-n8n-templates vs evidently
A neutral, constraint-first comparison - live GitHub stats and typed relationships, not marketing.
| awesome-n8n-templates | evidently | |
|---|---|---|
| Tagline | A large collection of free n8n automation templates | Evidently is an open-source ML and LLM observability framework. |
| Stars | 24k | 7.7k |
| Forks | 6.2k | 874 |
| Open issues | 25 | 285 |
| Language | - | Jupyter Notebook |
| License | Other | Apache-2.0 |
| Last pushed | Jul 6, 2026 | May 2, 2026 |
| Categories | AI Agents, Developer Tools, Data & Retrieval, Inference & Serving | Evaluation & Observability |
awesome-n8n-templates
Repository containing over 280 ready-to-use workflow templates for popular platforms like Gmail, Telegram, Slack, Discord, WhatsApp, Google Drive, Notion, and more. Templates cover AI agents, RAG chatbots, email automation, social media management, DevOps tasks, and document processing.
evidently
Evidently is a Python library for evaluating, testing, and monitoring machine learning (ML) and large language model (LLM) systems from experiments to production. It supports a wide range of evaluation metrics and can be used both offline and in live environments.
Jupyter Notebook