How do their growth rates compare?

LabEx.io has a month-over-month growth rate of -9.3%; Reppls has -88.4%.

How does pricing compare?

LabEx.io: Freemium. Freemium. A large catalog of labs is free, with no sign-up required for many of them, and the open-source Linux Journey content is always free. Paid plans (with a Pro subscription) unlock the full skill-tree library and premium features. Exact prices are listed on the LabEx pricing page. Reppls: Free Trial, Paid, Contact for Pricing. Reppls offers a free trial and paid plans, with enterprise pricing available on request. Exact tiers and per-interview costs are quoted after a demo, since pricing depends on interview volume, roles and customisation.

What are alternatives to LabEx.io and Reppls?

Other tools in related categories include Muse, Coddy, DataCamp, Cursor, Brilliant.

LabEx.io vs Reppls — Traffic (1.13M vs 433), Pricing & Verdict

Open AI Tools

LabEx.io vs Reppls — Traffic (1.13M vs 433), Pricing & Verdict | Open AI Tools

Side-by-Side Traffic & Specification Matrix

Dimension / Metric	LabEx.io	Reppls
Official Domain	labex.io	reppls.com
Pricing Model	Freemium	Free Trial, Paid, Contact for Pricing
Monthly Visits	1.13M (1,127,110)	433 (433)
MoM Traffic Delta	-115.81K (-9.3%)	-3.3K (-88.4%)
Primary Market & Share	🇮🇳 India (15.3%)	🇮🇳 India (100%)
Direct Visits / mo	496.14K	167
User Rating	4.4	4.1
Supported Platforms	Website	Website

LabEx.io

Learn Linux, DevOps, and cybersecurity by doing — inside real online labs.

Skill trees with guided paths

Choose a structured path — Linux, DevOps, cybersecurity, Python, Docker, Kubernetes and more — and progress lab by lab from fundamentals to advanced topics.

Browser-based hands-on labs

Practice inside real online terminals, pre-configured environments, and cloud virtual machines rather than reading passive tutorials.

Labby AI assistant

An AI chatbot powered by ChatGPT that answers technical questions, explains concepts, and helps debug your code while you learn.

Real-world projects

Apply each skill by building real projects, from containerized apps to automation scripts, that reinforce what you have learned.