Apache Airflow vs n8n: Differences cles et quand utiliser chaque outil

Analyse approfondie des différences clés, cas d'usage et signaux de communauté.

Differences cles

Comparez Apache Airflow et n8n selon les fonctionnalites, le prix, les integrations et les metriques de communaute. Apache Airflow / n8n.

Fonctionnalité

n8n

Workflow

Comparez des outils développeur côte à côte avec des métriques réelles.
Platform to programmatically author and schedule workflows
n8n is a fair-code workflow automation platform with native AI capabilities, allowing users to combine visual building with custom code. It supports self-hosting or cloud deployment and offers over 400 integrations.
GitHub Stars
⭐ 45 276
⭐ No data available
Contributors
👥 4 323
👥 No data available
Pricing
✓ Gratuit
Enterprise: Contact sales
✓ Gratuit
Enterprise: Enterprise pricing available on request
Languages
Python
TypeScript
Features
  • Airflow
  • Apache
  • Apache Airflow
  • Automation
  • Dag
  • Visual workflow building
  • Custom code integration
  • Self-hosted or cloud deployment
  • 400+ integrations
  • Native AI capabilities
Integrations
No integrations listed
  • • APIs
  • • Various SaaS platforms
  • • Custom integrations
Momentum Score
94/100 (stable)
6/100 (stable)
Community Health
91/100 (excellent)
6/100 (needs-attention)
Maturity Index
88/100 (mature)
5/100 (experimental)
Innovation Score
88/100 (pioneering)
8/100 (traditional)
Risk Score (higher is safer)
94/100 (minimal)
5/100 (high)
Developer Experience
80/100 (good)
9/100 (poor)
Links

Apache Airflow Strengths

  • ✓ More popular (45 276 étoiles)
  • ✓ Larger community (4 323 contributors)

n8n Strengths

Quand utiliser Apache Airflow vs n8n

Utilisez Apache Airflow quand ses points forts correspondent mieux a votre stack et a votre equipe, et choisissez n8n si son ecosysteme, ses integrations ou son cout sont plus adaptes.

Data source: GitHub API

Dernière mise à jour 5/4/2026