What are the key differences between GitHub Actions and Make (formerly Integromat)?

Compare GitHub Actions and Make (formerly Integromat) side by side on Lunoo to see detailed feature differences, AI scores, and expert analysis.

How are GitHub Actions and Make (formerly Integromat) scored?

GitHub Actions has an AI score of 8.5/10 and Make (formerly Integromat) has an AI score of 8.4/10. Scores are based on category fit, feature coverage, pricing signals, public reception, and recency.

GitHub Actions vs Make (formerly Integromat) 2026 - Compared

GitHub Actions

Make (formerly Integromat)

WINNER GitHub Actions

GitHub Actions edges ahead with a score of 8.5/10 compared to 8.4/10 for Make (formerly Integromat). While both are high...

emoji_events WINNER

GitHub Actions

8.5 Excellent

Cicd Tool Get GitHub Actions open_in_new

Make (formerly Integromat)

8.4 Excellent

API Integration Get Make (formerly Integromat) open_in_new

psychology AI Verdict

GitHub Actions edges ahead with a score of 8.5/10 compared to 8.4/10 for Make (formerly Integromat). While both are highly rated in their respective fields, GitHub Actions demonstrates a slight advantage in our AI ranking criteria. A detailed AI-powered analysis is being prepared for this comparison.

emoji_events Winner: GitHub Actions

verified Confidence: Low

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description Overview

GitHub Actions

GitHub Actions has rapidly become a leading CI/CD platform, deeply integrated with GitHub repositories. Its workflow-as-code approach allows developers to define pipelines directly within their repositories, leveraging a vast marketplace of pre-built actions. It excels in its ease of use for GitHub users and offers robust features for more complex deployments. The platform's scalability and tigh...

Make (formerly Integromat)

Make is highly regarded by power users and developers for its unparalleled visual workflow builder. It operates on a scenario-based model, allowing users to map out complex, multi-step processes with incredible granularity. Its ability to handle data routing, error trapping, and iterative loops within a single visual canvas makes it superior for intricate, multi-system business logic. It excels wh...