How do their growth rates compare?

LabEx.io has a month-over-month growth rate of -9.3%; TechScreen has +101.7%.

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. TechScreen: Freemium. TechScreen offers a free trial that does not charge a card, after which you pick a subscription plan. The company states every plan includes the full app, there are no hidden fees and no $1,000-plus tiers, and you can change or cancel at any time. Check the official pricing page for current amounts.

What are alternatives to LabEx.io and TechScreen?

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

LabEx.io vs TechScreen — Traffic (1.13M vs 28.97K), Pricing & Verdict

Open AI Tools

LabEx.io vs TechScreen — Traffic (1.13M vs 28.97K), Pricing & Verdict | Open AI Tools

Side-by-Side Traffic & Specification Matrix

Dimension / Metric	LabEx.io	TechScreen
Official Domain	labex.io	techscreen.app
Pricing Model	Freemium	Freemium
Monthly Visits	1.13M (1,127,110)	28.97K (28,970)
MoM Traffic Delta	-115.81K (-9.3%)	+14.61K (+101.7%)
Primary Market & Share	🇮🇳 India (15.3%)	🇺🇸 United States (86.1%)
Direct Visits / mo	496.14K	4.76K
User Rating	4.4	3.8
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.