shouldiuse.io

VERDICT

Should I use Zenml?

One AI Platform from Pipelines to Agents - zenml.io

Depends. Buy it if your ML/LLM team runs real Python pipelines and needs orchestration, reproducibility, and evaluation in one layer. Skip it if you only need experiment tracking — plain MLflow is lighter and less to operate.

Confidence

Medium. Based on ~50 public sources reviewed; exact Pro pricing and numeric review scores were not visible in source snippets.

Ratings

  • Value for money
  • Ease of use
  • Feature depth
  • Support qualityNo support evidence in sources
  • Security posture

Pricing

Free

Open Source

Model+80%
Monthly feesNot disclosed
HardwareNot disclosed
Free tierYes
ProSee pricing page

Best for

  • ML teams standardizing pipelines
  • LLM/agent teams needing evals
  • Multi-cloud Python shops
  • Teams outgrowing notebooks

Not for

  • Solo data scientists doing one-off modeling
  • Teams needing only experiment tracking
  • No-code/BI analysts — this is a code-first framework
  • Anyone unwilling to run and patch self-hosted infra

Gotchas - check before you buy

high

CVE-2024-25723 was a critical server privilege-escalation flaw; patch self-hosted installs promptly.

high

RCE CVE-2025-8406 affected v0.83.1; running current versions matters.

medium

Exact Pro pricing not visible in reviewed sources; startup/academic discounts exist — verify before budgeting.

medium

Stack configs tie pipelines to chosen orchestrators; swapping later means rework.

Pros and cons

Pros

  • Free, extensible open-source core with active community.
  • Documentation widely praised by users.
  • Orchestrator-agnostic — plugs into Airflow, Kubeflow, and other backends.
  • Built-in LLM evaluation guides and tooling.
  • Pro tier is SOC2 and ISO 27001 compliant.

Cons

  • Repeated CVEs since 2024: privilege escalation, RCE, XSS, directory traversal.
  • Managed features gated behind paid Pro tier.
  • Self-hosting the server adds ops burden.
  • Overkill versus plain MLflow for pure experiment tracking.

Sources & method

Analyzed 9/27/2026 - 14 sources - Multiple CVEs in the open-source core (2024–2025); ZenML Pro advertises SOC2 and ISO 27001.

official x5review x5security x4
  • CVE-2024-25723 — Server privilege escalation, Critical flaw in ZenML Server; vendor issued an urgent security update in Feb 2024.
  • CVE-2025-8406 — PathMaterializer RCE, Remote code execution affecting ZenML 0.83.1.
  • CVE-2024-2083 — Directory traversal, Directory traversal vulnerability fixed in later releases.
  • CVE-2024-5062 — Reflected XSS, Reflected cross-site scripting vulnerability in ZenML.

Key stats

  • Value for money: 4/5

    Rating

  • Free

    Starting price

  • 14

    Sources

  • Analyzed

  • Value for money: 4/5. Free core; managed features behind paid Pro
  • Ease of use: 4/5. Docs and orchestration UX praised by users
  • Feature depth: 4/5. Pipelines, evals, deployment, broad integrations
  • Support quality. No support evidence in sources
  • Security posture: 2/5. Multiple CVEs incl. critical escalation and RCE
  • +80% Model dev speed Brevo case study
  • Free Open-source core Managed features sit in paid Pro
  • SOC2 + ISO 27001 Compliance (Pro) Advertised on ZenML Pro pages
  • 6 CVEs in sources 2024–2025, incl. RCE and privilege escalation

Pricing

Open Source

Free

  • Full framework, self-hosted
  • Community support

Pro

See pricing page

  • Managed orchestration in your cloud
  • SOC2 + ISO 27001
  • Startup/academic discounts

Security

Multiple CVEs in the open-source core (2024–2025); ZenML Pro advertises SOC2 and ISO 27001.

  • CVE-2024-25723 — Server privilege escalationCritical flaw in ZenML Server; vendor issued an urgent security update in Feb 2024.11
  • CVE-2025-8406 — PathMaterializer RCERemote code execution affecting ZenML 0.83.1.12
  • CVE-2024-2083 — Directory traversalDirectory traversal vulnerability fixed in later releases.13
  • CVE-2024-5062 — Reflected XSSReflected cross-site scripting vulnerability in ZenML.

Alternatives

Compare Zenml with each alternative.

Companies that use it

Full analysis

Based on ~50 public sources reviewed; exact Pro pricing and numeric review scores were not visible in source snippets.

Strong open-source MLOps orchestration with praised docs — but repeated CVEs since 2024. Only worth it if pipelines are your bottleneck.

Methodology

Based on ~50 public sources reviewed; exact Pro pricing and numeric review scores were not visible in source snippets.

Sources

  1. ZenML on GitHubgithub.com
    official
  2. ZenML Reviews on G2g2.com
    review
  3. ZenML VS Flyte VS Metaflowmlops.community
    review
  4. Kedro+MLFlow vs ZenML — Reddit r/mlopsreddit.com
    review
  5. ZenML: Why you should consider MLOps — Mediummedium.com
    review
  6. ZenML for orchestration — dev.todev.to
    review
  7. ZenML Pricingzenml.io
    official
  8. ZenML Pro — Managed AI orchestrationzenml.io
    official
  9. Brevo case studyzenml.io
    official
  10. JetBrains case studyzenml.io
    official
  11. CVE-2024-25723 critical updatezenml.io
    security
  12. CVE-2025-8406 RCE — Miggomiggo.io
    security
  13. CVE-2024-2083 — Red Hat CVE databaseaccess.redhat.com
    security
  14. ZenML CVE list — OpenCVEapp.opencve.io
    security

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