How do their growth rates compare?

Apps 365 has a month-over-month growth rate of -1%; LabEx.io has -9.3%.

How does pricing compare?

Apps 365: Contact for Pricing. Custom / contact-for-pricing. Apps 365 sells through its sales team and partner network rather than publishing per-seat rates; a free demo is the standard entry point. 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.

What are alternatives to Apps 365 and LabEx.io?

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

Apps 365 vs LabEx.io — Traffic (54.13K vs 1.13M), Pricing & Verdict

Open AI Tools

Apps 365 vs LabEx.io — Traffic (54.13K vs 1.13M), Pricing & Verdict | Open AI Tools

Side-by-Side Traffic & Specification Matrix

Dimension / Metric	Apps 365	LabEx.io
Official Domain	apps365.com	labex.io
Pricing Model	Contact for Pricing	Freemium
Monthly Visits	54.13K (54,129)	1.13M (1,127,110)
MoM Traffic Delta	-555 (-1%)	-115.81K (-9.3%)
Primary Market & Share	🇺🇸 United States (22.9%)	🇮🇳 India (15.3%)
Direct Visits / mo	22.11K	496.14K
User Rating	4	4.4
Supported Platforms	Website	Website

Apps 365

Microsoft 365 business and HR apps, now with AI agents

HR and people operations modules

HR365 brings HRMS, recruitment, onboarding, employee directory, performance, LMS, timesheet, and time-off management into SharePoint and Teams.

IT and service desk apps

IT Helpdesk 365 and Asset 365 provide ticketing, incident handling, and hardware or software asset tracking on the Microsoft stack.

Business workflow apps

CLM 365 contract management, Task 365, Expense 365, and Revenue 365 handle approvals, assignments, and commercial processes.

Prebuilt AI agents

Agents for meeting intelligence, HR service, interview intelligence, knowledgebase Q&A, root cause analysis, and bug pattern learning run on your existing M365 data.

Strengths & Pros

+Broad catalogue covering HR, IT, and business operations from one vendor
+Runs natively inside SharePoint, Teams, and PowerApps, minimising user retraining
+New AI agent layer reuses data already stored in Microsoft 365
+Demonstrated global footprint with thousands of deployments