ClearML vs Metaflow

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

The short answer

ClearML is the stronger AI pick in MLOps Platforms: it has a visibility score of 20.6 versus 0.6 for Metaflow, and ranks ahead in 100% of the answers that name both.

Choose ClearML if…

You want the brand AI engines rank higher (20.6 vs 0.6)
AI answers describe it more positively (43% vs 0% positive)
You need a self-hosted or on-premises option
open-source flexibility

Choose Metaflow if…

No clear advantage in the published data.

AI visibility side by side

Latest weekly run · Nov 2

Metric	ClearML	Metaflow
Visibility score	20.6%	0.6%
Change vs last week	New	New
Rank in MLOps Platforms	#8	#45
Share of voice	4.5%	0.3%
Mentions this run	30	2
Positive in AI answers	43%	0%

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

Visibility score trend

Weekly runs over the last 60 days

ClearML 0pp · Metaflow 0pp over 0 weekly runs.

Engine by engine

ClearML leads on 3 of 3 engines

ChatGPT

22.2%

0.9%

AI Mode

14.3%

Perplexity

25.2%

0.9%

ClearMLMetaflow

Head to head in AI answers

1 engine answers name both brands

1ClearML ranked higher

0Metaflow ranked higher

Prompt	Engine	ClearML	Metaflow
Alternatives to the most popular MLOps platform	Perplexity	#3	#14

Features, pricing & fit

Dimension	ClearML	Metaflow
Pricing model	Per seat	—
Entry price	Free; paid from $15 per seat / mo	—
Free plan	Yes	—
Deployment	Hosted servers, self-hosted, or a managed service in a VPC, on-premises (including air-gapped) or hybrid.	Runs on the customer's own AWS, Azure, or Google Cloud account, or on an on-premise Kubernetes cluster. The Outerbounds Platform is a managed service that runs in the customer's AWS account.
Support	Dedicated Slack channel (Scale), Standard SLA (Scale), White-glove support with custom SLA (Enterprise), Professional services (Enterprise)	—
Founded	2016	2019
Headquarters	Tel Aviv, Israel	548 Market Street, San Francisco
Employees	11–50	11–50
Funding	Series B (reported for parent Allegro AI, unverified, led by New Enterprise Associates) · $16M raised	Early-stage VC round · $24M raised
Best for	Individuals, researchers and small teams on the free plan, growing AI teams on Pro, and enterprises running GPU clusters for multiple large projects.	ML/AI engineers and data scientists who build real-life ML, AI, and data science projects and need to move from laptop to production.