Evidently AI vs ZenML

Which one do AI engines recommend, and how do they differ on price, fit and features?

The short answer

ZenML is the stronger AI pick in MLOps Platforms: it has a visibility score of 6 versus 2.4 for Evidently AI, and ranks ahead in 100% of the answers that name both.

Choose Evidently AI if…

Listed as a monitoring option in vendor-neutral ML stacks
Named alongside Prometheus and Grafana in monitoring setups
Grouped with Arize and WhyLabs as a monitoring tool

Choose ZenML if…

You want the brand AI engines rank higher (6 vs 2.4)
AI answers describe it more positively (55% vs 50% positive)
You need SOC 2 Type II or ISO 27001 coverage
You prefer a larger, established vendor (11–50 employees)

AI visibility side by side

Latest weekly run · Nov 2

Metric	Evidently AI	ZenML
Visibility score	2.4%	6%
Change vs last week	New	New
Rank in MLOps Platforms	#25	#14
Share of voice	0.9%	1.5%
Mentions this run	7	11
Positive in AI answers	50%	55%

The stronger value in each row is marked with a ✓.

Visibility score trend

Weekly runs over the last 60 days

Evidently AI 0pp · ZenML 0pp over 0 weekly runs.

Engine by engine

ZenML leads on 2 of 3 engines

ChatGPT

5.4%

11.7%

AI Mode

6.3%

Perplexity

1.9%

Evidently AIZenML

Head to head in AI answers

2 engine answers name both brands

0Evidently AI ranked higher

2ZenML ranked higher

Prompt	Engine	Evidently AI	ZenML
What are the best MLOps Platforms tools in 2026?	ChatGPT	#16	#9
Best MLOps platform for startups	ChatGPT	#10	#7

Features, pricing & fit

Dimension	Evidently AI	ZenML
Pricing model	—	Flat tiers
Entry price	—	Free; paid from $39 / mo
Free plan	—	Yes
Deployment	The open-source version runs on the customer's own infrastructure; Evidently Cloud runs on managed infrastructure.	Self-hosted open source, or ZenML's cloud. Enterprise runs on-prem or air-gapped in the customer's cloud, with data and compute staying in the customer's VPC.
Integrations	—	66+
Compliance	—	SOC 2 Type II, ISO 27001
Support	—	Community Slack, Email, Dedicated support with SLA on Enterprise, Workshops and architecture reviews on Enterprise
Founded	2020	2021
Headquarters	San Francisco, CA, United States	Munich, Germany
Employees	1–10	11–50
Funding	Seed · $1M raised	Seed extension · $6M raised
Best for	AI and ML teams that want open-source evaluation, testing and monitoring for LLM applications and predictive models.	Data science and ML engineering teams that want pipelines and AI agents run on their own infrastructure, and agent teams that want to find the evals they are missing.