What is components-scheduler?

48/100
Trust Score (D)
⚠️ Use Caution

components-scheduler is a npm that Nylas Scheduler (`<nylas-scheduler>`) lets you build event-booking functionality into your application in minutes. Use Nylas Scheduler with your Nylas account or by passing in your own JSON data.. It has a Nerq Trust Score of 48/100 (D). 0 GitHub stars. Published by ozsivanov. Last analyzed October 2026.

Why This Score

Trust & Safety Overview

48
TRUST SCORE
D
GRADE
0
STARS
0
DOWNLOADS

What components-scheduler Does

components-scheduler is a npm in the npm category. Nylas Scheduler (`<nylas-scheduler>`) lets you build event-booking functionality into your application in minutes. Use Nylas Scheduler with your Nylas account or by passing in your own JSON data.. It is published by ozsivanov and has no specified license. With 0 GitHub stars and 0 downloads, it has a small community of users and contributors.

Who Should Use components-scheduler

components-scheduler is recommended only for experimental use. Consider alternatives with higher trust scores for production systems.

Details

Authorozsivanov
Categorynpm
LicenseNot specified
Typenpm
SourceView on GitHub
Security Score0/100
Activity Score0/100

How to Get Started

Check the trust score before installing:

curl nerq.ai/v1/preflight?target=nylas-components-scheduler

Setup guide · Full safety report · Production review · Is it safe?

Frequently Asked Questions

What is components-scheduler used for?
components-scheduler is a npm tool. Nylas Scheduler (`<nylas-scheduler>`) lets you build event-booking functionality into your application in minutes. Use Nylas Scheduler with your Nylas account or by passing in your own JSON data..
Is components-scheduler free?
License: Check project page. components-scheduler has 0 GitHub stars.
Is components-scheduler safe?
components-scheduler has a Nerq Trust Score of 48/100 (D). Evaluate carefully.
What are alternatives to components-scheduler?
Top alternatives: . See full comparison.

Last updated October 2026. Trust scores based on automated analysis of public data.

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