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Comparison

zenml vs zeno

Verdict

Pick zenml if zenML is a comprehensive AI development platform that supports pipelines, agents, and operations from training to deployment, making it suitable for teams that require a unified solution for their AI lifecycle management; pick zeno if zeno combines Python API with an interactive UI for evaluating ML models across various tasks.

Markdown twin · zenml alternatives · zeno alternatives

GraphCanon updated Sep 28, 2026

9views this month

zenml logo

zenml

zenml-io/zenml

★ 5.6kpushed Sep 18, 2026
vs
zeno logo

zeno

zeno-ml/zeno

★ 214pushed Oct 5, 2023

Trust & integrity

Signalzenmlzeno
Maintenance
Very active (0d since push)
As of Sep 18, 2026 · github_public_v1
Archived (1088d since push)
As of Sep 28, 2026 · github_public_v1
Provenance
Not a fork · Organization account
As of Sep 18, 2026 · github_public_v1
Not a fork · Organization account
As of Sep 28, 2026 · github_public_v1
OSV dependency advisories
No lockfile (source not queried)
As of Sep 18, 2026 · osv@v1
Published findings
As of Jul 11, 2026 · osv@v1
deps.dev advisories
Not queried
deps.dev@v1
Not queried
deps.dev@v1
OpenSSF Scorecard
Not queried
openssf-scorecard@v1
Not queried
openssf-scorecard@v1
zenml trust reportzeno trust reportTrust methodology

Tagline

zenml
One AI Platform from Pipelines to Agents
zeno
AI Data Management & Evaluation Platform

Stars

zenml
5.6k
zeno
214

Forks

zenml
656
zeno
11

Open issues

zenml
167
zeno
45

Language

zenml
Python
zeno
Svelte

Adopt for

zenml
ZenML is a comprehensive AI development platform that supports pipelines, agents, and operations from training to deployment, making it suitable for teams that require a unified solution for their AI lifecycle management
zeno
Zeno combines Python API with an interactive UI for evaluating ML models across various tasks.

Persona

zenml
-
zeno
-

Runtime

zenml
-
zeno
-

License

zenml
Apache-2.0
zeno
MIT

Last pushed

zenml
Sep 18, 2026
zeno
Oct 5, 2023

Categories

zenml
AI Agents, Developer Tools, Inference & Serving, Model Training
zeno
Evaluation & Observability

Trust and health

Maintenance

zenml
Very active (96%)
zeno
Archived (8%)

Days since push

zenml
0d
zeno
1088d

Archived on GitHub

zenml
No
zeno
Yes

Open issues (now)

zenml
167
zeno
45

Stars delta

zenml
+88 (30d)
zeno
0 (30d)

Open issues delta

zenml
+20 (30d)
zeno
0 (30d)

OSV dependency advisories

zenml
No lockfile (source not queried)
zeno
Published findings

Full report

zenml
Trust report
zeno
Trust report

Shared compatibility

  • Python · zenml: Python runtime · zeno: Python runtime

Choose zenml if…

  • zenml is primarily Python; zeno is Svelte.
  • License: zenml is Apache-2.0, zeno is MIT.
  • Pricing: Open-source under the Apache-2.0 license, with potential enterprise features or support available for a fee.
  • Requirements: Min 4 GB RAM; Requires Docker; Installation of ZenML with server capabilities requires additional dependencies.
  • Tags unique to zenml: agentops, automl, deep-learning, genai.
  • Also covers AI Agents, Developer Tools, Inference & Serving, Model Training.
  • zenml ships Docker support for self-hosted deployment.
  • When you need a unified platform that supports both pipelines and agents, allowing for seamless integration from training to deployment

When NOT to use zenml

  • If your project only requires a lightweight pipeline solution without the need for agent management or comprehensive lifecycle operations
  • When you are looking for a platform that focuses solely on a specific aspect of AI development, such as only model training or only deployment, as ZenML offers a broader range of features that might b
GitHubDetails

Choose zeno if…

  • zeno is primarily Svelte; zenml is Python.
  • License: zeno is MIT, zenml is Apache-2.0.
  • Tags unique to zeno: ai, evaluation-framework.
  • Also covers Evaluation & Observability.
  • You need to analyze model performance interactively via a user interface

When NOT to use zeno

  • Your project requires real-time monitoring capabilities not provided by Zeno's evaluation framework
  • If you are looking for a specialized tool tailored only to specific data types, like just images or text without the modular versatility of Zeno
GitHubDetails

Explore

zenml trust report →zeno trust report →AI Agents category →Developer Tools category →Inference & Serving category →Model Training category →Evaluation & Observability category →All comparisonsStack workflowsTrending tools

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: zenml 5.6k · zeno 214 (synced Sep 20, 2026).

Common questions

What is the difference between zenml and zeno?
zenml: One AI Platform from Pipelines to Agents. zeno: AI Data Management & Evaluation Platform. See the comparison table for live GitHub stats and shared categories.
When should I choose zenml over zeno?
Choose zenml over zeno when zenml is primarily Python; zeno is Svelte; License: zenml is Apache-2.0, zeno is MIT; Pricing: Open-source under the Apache-2.0 license, with potential enterprise features or support available for a fee; Requirements: Min 4 GB RAM; Requires Docker; Installation of ZenML with server capabilities requires additional dependencies; Tags unique to zenml: agentops, automl, deep-learning, genai; Also covers AI Agents, Developer Tools, Inference & Serving, Model Training; zenml ships Docker support for self-hosted deployment; When you need a unified platform that supports both pipelines and agents, allowing for seamless integration from training to deployment.
When should I choose zeno over zenml?
Choose zeno over zenml when zeno is primarily Svelte; zenml is Python; License: zeno is MIT, zenml is Apache-2.0; Tags unique to zeno: ai, evaluation-framework; Also covers Evaluation & Observability; You need to analyze model performance interactively via a user interface.
When should I avoid zenml?
If your project only requires a lightweight pipeline solution without the need for agent management or comprehensive lifecycle operations When you are looking for a platform that focuses solely on a specific aspect of AI development, such as only model training or only deployment, as ZenML offers a broader range of features that might b
When should I avoid zeno?
Your project requires real-time monitoring capabilities not provided by Zeno's evaluation framework If you are looking for a specialized tool tailored only to specific data types, like just images or text without the modular versatility of Zeno
Is zenml or zeno more popular on GitHub?
zenml has more GitHub stars (5,582 vs 214). Stars measure visibility, not whether either tool fits your constraints.
Are zenml and zeno open source?
Yes - both are open-source projects on GitHub (zenml: Apache-2.0, zeno: MIT).
Where can I find alternatives to zenml or zeno?
GraphCanon lists graph-backed alternatives at zenml alternatives and zeno alternatives (zenml markdown twin, zeno markdown twin), ranked by typed relationship edges rather than popularity votes.
Is there a machine-readable version of this comparison?
Yes. The markdown twin at this comparison mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
Which is better maintained, zenml or zeno?
zenml: Very active. zeno: Archived. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.
Where are the full trust reports for zenml and zeno?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: zenml trust report; zeno trust report.

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