awesome-n8n-templates logo
awesome-n8n-templates
★ 26.1k
vs
kaggle-skill logo
kaggle-skill
★ 105

awesome-n8n-templates vs kaggle-skill

awesome-n8n-templates: This repository offers a diverse collection of n8n automation templates for streamlining various tasks and workflows. Sourced from the internet, these ready-made solutions facilitate integration with numerous platforms like Gmail, Telegram, Google Drive, and WordPress, often leveraging AI for advanced functionalities.; kaggle-skill: `kaggle-skill` is an agent skill and plugin designed for comprehensive Kaggle competition management, covering tasks from credential setup to submissions and forum engagement. It integrates with various AI agents to automate typical Kaggle workflows, making competition participation more efficient.

01

TL;DR

awesome-n8n-templates logo
awesome-n8n-templatesWorkflow Automation · ★ 26.1k

Automating and enhancing email classification, drafting, and security analysis for better inbox management.

kaggle-skill logo
kaggle-skillWorkflow Automation · ★ 105

Automating a complete Kaggle competition workflow from start to finish.

02

Side-by-Side Comparison

Field
awesome-n8n-templates logoawesome-n8n-templates
kaggle-skill logokaggle-skill
Category
Workflow Automation
Workflow Automation
Stars
★ 26.1k
★ 105
License
NOASSERTION
MIT
Install Command
git clone https://github.com/enescingoz/awesome-n8n-templates.git
git clone https://github.com/shepsci/kaggle-skill.git && cd kaggle-skill && python3 -m pip install "kagglehub>=1.0.0" "kaggle>=2.2.3" "kagglesdk>=0.1.33,<1.0" python-dotenv requests
Updated
1mo ago
1w ago
Open Source
Yes
Yes
Tags
n8n, Automation, AI
Kaggle, Agent Skill, Competition Management
03

Features

awesome-n8n-templates logoawesome-n8n-templates
01Diverse automation templates for various tasks across multiple platforms.
02Extensive AI integration (OpenAI, Gemini, MistralAI, DeepSeek R1) for intelligent workflows.
03Ready-to-use n8n workflows for quick setup and deployment.
04Supports integration with popular services like Gmail, Telegram, Google Drive, and WordPress.
05Streamlines operations such as email management, content creation, and data processing.
kaggle-skill logokaggle-skill
01End-to-end Kaggle competition management
02Automated credential setup and verification
03Competition research and landscape reporting
04Dataset download and notebook execution
05Forums, topics, and solution write-ups interaction
04

Use Cases

awesome-n8n-templates logoawesome-n8n-templates
↳Automating and enhancing email classification, drafting, and security analysis for better inbox management.
↳Building advanced AI-powered chatbots for interactive messaging, customer support, and content generation in platforms like Telegram.
↳Streamlining content creation, document processing, and data management by integrating with Google Drive, Google Sheets, and WordPress.
kaggle-skill logokaggle-skill
↳Automating a complete Kaggle competition workflow from start to finish.
↳Quickly researching competition rules, evaluation metrics, and past solutions.
↳Managing datasets, pushing notebooks to Kernels, and tracking their execution.
↳Searching Kaggle forums for specific topics or recent discussions on ensembling or solutions.
05

Best For

awesome-n8n-templates logoawesome-n8n-templates
Most Popular
kaggle-skill logokaggle-skill
—
FAQ

FAQ

What is the difference between awesome-n8n-templates and kaggle-skill?
Both awesome-n8n-templates and kaggle-skill are in the Workflow Automation category. awesome-n8n-templates has 26.1k stars, while kaggle-skill has 105 stars.
Which is better, awesome-n8n-templates or kaggle-skill?
The best choice depends on your use case. Choose awesome-n8n-templates if Automating and enhancing email classification, drafting, and security analysis for better inbox management., and kaggle-skill if Automating a complete Kaggle competition workflow from start to finish..
Is awesome-n8n-templates free or open source?
Yes, awesome-n8n-templates is open source on GitHub (NOASSERTION).
Is kaggle-skill free or open source?
Yes, kaggle-skill is open source on GitHub (MIT).
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