OpenSOAR vs Shuffle

This page is the editorial comparison: where each product fits, what tradeoff you are actually making, and which kind of team each model serves best. For canonical product docs, use docs.opensoar.app.

Why these two get compared

Teams looking for open-source SOAR usually end up evaluating the same short list. Shuffle gets attention because it offers a visual workflow builder and a broad integration story. OpenSOAR gets attention because it is code-first, Python-native, and simpler to reason about if your team already thinks in software.

So the real question is not “which feature checklist is longer?” It is: do you want your automation layer to feel like a visual product or like code?

The core tradeoff

Question	OpenSOAR	Shuffle
How is automation authored?	Python playbooks	Visual / low-code workflows
What scales better for complex logic?	Code	Visual flows hit a ceiling sooner
Who gets productive fastest?	Python-literate teams	Teams that prefer clicking over coding
How do you test workflows?	Normal Python tooling and CI	More platform-specific workflow testing
What do you own?	Source code, runtime model, playbooks	Workflow definitions inside a visual product model

Where OpenSOAR is stronger

Complex playbooks stay readable longer

Visual builders are appealing at first because simple workflows look obvious on a canvas. But as soon as you need retries, branching, parallel enrichment, custom transforms, or internal APIs, the visual model starts fighting you. OpenSOAR avoids that by starting from code.

from opensoar import playbook, update_current_alert

@playbook(trigger="webhook", conditions={"severity": ["high", "critical"]})
async def investigate_alert(alert):
    vt, abuse = await asyncio.gather(
        lookup_virustotal(alert.get("iocs")),
        lookup_abuseipdb(alert.get("source_ip")),
    )

    if abuse.confidence_score > 80:
        await isolate_host(alert.get("hostname"))
        await notify_slack(channel="#soc-critical", message=alert.get("title"))
    else:
        await update_current_alert(
            status="resolved",
            determination="benign",
            reason="Threat intel came back clean",
        )

If your team wants automation to behave like software, OpenSOAR is the cleaner long-term fit.

Testing and review are normal engineering workflows

OpenSOAR playbooks are just Python modules. That means code review, Git diffs, pytest, and CI are not add-ons or workarounds. They are the natural workflow.

You avoid the low-code ceiling

A lot of teams start with a visual builder because they want velocity, then end up writing code around the edges anyway. OpenSOAR is better for teams that already know that outcome and would rather skip straight to the model that scales.

Where Shuffle may be the better fit

• Your team strongly prefers visual workflow authoring.
• You want a lower-code experience for simple orchestration paths.
• You care more about rapid flow assembly than about software-style ownership of the automation layer.

Who should choose OpenSOAR?

• Security teams with real Python capability
• MSSPs that want reusable code-based automation
• Teams that expect playbooks to become operationally complex
• Teams that want automation changes reviewed like software, not configured like diagrams

What to read next

• Playbooks Overview
• Loading and Syncing Playbooks
• Python Security Playbooks
• Commercial platform comparison

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If your team would rather automate in Python than maintain visual graphs, start with the docs.

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