DagsHub vs GitHub

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

The short answer

GitHub is the stronger AI pick in MLOps Platforms: it has a visibility score of 9 versus 3.5 for DagsHub, and ranks ahead in 0% of the answers that name both.

Choose DagsHub if…

Structured annual pricing with yearly billing options on team tiers
Recommended as a starting option for MLOps lifecycle coverage

Choose GitHub if…

You want the brand AI engines rank higher (9 vs 3.5)
You want a lower entry price ($4 vs $119)
You need a self-hosted or on-premises option
You need SOC 1 Type 2 or SOC 2 Type 2 or ISO/IEC 27001 or CSA STAR Level 2 or PCI DSS or FedRAMP Tailored ATO coverage

AI visibility side by side

Latest weekly run · Nov 2

Metric	DagsHub	GitHub
Visibility score	3.5%	9%
Change vs last week	New	New
Rank in MLOps Platforms	#23	#11
Share of voice	0.6%	2%
Mentions this run	4	14
Positive in AI answers	—	48%

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

Visibility score trend

Weekly runs over the last 60 days

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

Engine by engine

GitHub leads on 3 of 3 engines

ChatGPT

3.1%

11.5%

AI Mode

3.1%

5.6%

Perplexity

4.3%

10%

DagsHubGitHub

Head to head in AI answers

1 engine answers name both brands

1DagsHub ranked higher

0GitHub ranked higher

Prompt	Engine	DagsHub	GitHub
Is there a free MLOps platform for small teams?	ChatGPT	#2	#4

Features, pricing & fit

Dimension	DagsHub	GitHub
Pricing model	Per seat	Per seat
Entry price	Free; paid from $119 per seat / mo	Free; paid from $4 per seat / mo
Free plan	Yes	Yes
Deployment	Cloud hosting, with on-premise, VPC, and air-gapped installation on the Enterprise plan.	Cloud service (GitHub.com and GitHub Enterprise Cloud) and self-hosted GitHub Enterprise Server
Compliance	—	SOC 1 Type 2, SOC 2 Type 2, ISO/IEC 27001, CSA STAR Level 2, PCI DSS, FedRAMP Tailored ATO
Support	Community chat and email, Priority support on the Team plan, Enterprise SLA and support	Community support (Free plan), Web-based support (Team plan), Premium support with 24/7 web and phone support and a 30-minute SLA on urgent tickets (Enterprise)
Founded	2019	2008
Headquarters	San Francisco, California, United States	San Francisco, California
Employees	11–50	501–1,000
Funding	Accelerator/incubator deal	Round led by Sequoia Capital · $350M raised
Best for	Data science and AI teams that manage multimodal datasets, experiments, and models, from individuals building small applications to enterprises running high-scale workloads.	Development teams, from individuals to enterprises, that build, review, and ship software on one platform.