Comet vs DagsHub

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

The short answer

Comet is the stronger AI pick in MLOps Platforms: it has a visibility score of 13.6 versus 3.5 for DagsHub, and ranks ahead in 67% of the answers that name both.

Choose Comet if…

You want the brand AI engines rank higher (13.6 vs 3.5)
You want a lower entry price ($19 vs $119)
You need a self-hosted or on-premises option
You need SOC 2 or ISO 27001 or ISO 9001 or HIPAA or GDPR coverage

Choose DagsHub if…

Per seat pricing suits your budget better than usage-based
Structured annual pricing with yearly billing options on team tiers
Recommended as a starting option for MLOps lifecycle coverage

AI visibility side by side

Latest weekly run · Nov 2

Metric	Comet	DagsHub
Visibility score	13.6%	3.5%
Change vs last week	New	New
Rank in MLOps Platforms	#10	#23
Share of voice	2.7%	0.6%
Mentions this run	19	4
Positive in AI answers	53%	—

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

Visibility score trend

Weekly runs over the last 60 days

Comet 0pp · DagsHub 0pp over 0 weekly runs.

Engine by engine

Comet leads on 3 of 3 engines

ChatGPT

21.3%

3.1%

AI Mode

4.8%

3.1%

Perplexity

14.8%

4.3%

CometDagsHub

Head to head in AI answers

3 engine answers name both brands

2Comet ranked higher

1DagsHub ranked higher

Prompt	Engine	Comet	DagsHub
Alternatives to the most popular MLOps platform	Perplexity	#4	#5
Is there a free MLOps platform for small teams?	ChatGPT	#6	#2
Which MLOps Platforms tools offer annual discounts?	Perplexity	#2	#3

Features, pricing & fit

Dimension	Comet	DagsHub
Pricing model	Usage-based	Per seat
Entry price	Free; paid from $19 / mo	Free; paid from $119 per seat / mo
Free plan	Yes	Yes
Deployment	Cloud, virtual private cloud, on-premises, or self-hosted open source	Cloud hosting, with on-premise, VPC, and air-gapped installation on the Enterprise plan.
Integrations	60+	—
Compliance	SOC 2, ISO 27001, ISO 9001, HIPAA, GDPR	—
Support	Community (Slack and GitHub), Self-service (Ask AI and Opik MCP Server), Email support, Dedicated support team and SLAs	Community chat and email, Priority support on the Team plan, Enterprise SLA and support
Founded	2017	2019
Headquarters	New York, NY, United States	San Francisco, California, United States
Employees	51–200	11–50
Funding	Series B · $70M raised	Accelerator/incubator deal
Best for	Developers and teams building LLM applications and AI agents who need tracing, testing and evaluation.	Data science and AI teams that manage multimodal datasets, experiments, and models, from individuals building small applications to enterprises running high-scale workloads.