StackStorm

StackStorm (aka IFTTT for Ops) is event-driven automation for auto-remediation, security responses, troubleshooting, deployments, and more. Includes rules engine, workflow, 160 integration packs with 6000+ actions and ChatOps.

Steady · 58
58/100
Steady

Maintained, but at a slower pace than the leaders in its category.

Maintenance 14/40
Releases 16/25
Community 14/20
Momentum 13/15

Commit activity more than 36% of tracked projects; popularity more than 72%. How this is calculated.

Commits, last 11 months

2025-10: 40 commits 2025-11: 0 commits 2025-12: 1 commits 2026-01: 4 commits 2026-02: 1 commits 2026-03: 0 commits 2026-04: 0 commits 2026-05: 0 commits 2026-06: 0 commits 2026-07: 84 commits 2026-08: 3 commits
2025-10 133 total 2026-08
Stars6.5k
Latest releasev3.9.0 · 12 Jan 2026
Repo updated2 Sept 2026
LicenceApache-2.0
Built withPython

Is StackStorm actively maintained?

Development is ongoing. The repository recorded 133 commits over the same window, and the last three months alone account for 87 of them.

The most recent tagged release, v3.9.0, is about 9 months old.

StackStorm ranks #15 of 32 in Automation, placing it mid-table for maintenance activity.

What StackStorm actually does

StackStorm is an event-driven automation platform designed to handle infrastructure remediation, security responses, and operational workflows. It combines a rules engine, workflow execution, and an extensive collection of integration packs to trigger automated actions. Additionally, it provides ChatOps functionality to interact directly with your systems through chat interfaces.

Best fit: It is a suitable choice for systems administrators and operations teams looking to automate complex, multi-step incident response and deployment tasks triggered by external events.

Worth knowing: Managing and maintaining a large number of integration packs and complex automation rules can introduce a significant operational overhead and learning curve. It also competes directly with widely adopted infrastructure orchestration and CI/CD tools.

Deployment notes

As a Python-based application, it typically requires persistent storage for state management and configuration, along with a separate database backend and a reverse proxy to handle TLS termination securely.


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