
ExpressJS
Koa.js
Backbone.js
Meteor
Sails.js
Famous Engine
AngularJS
Wow your users. Build incredible real-time applications in record time.
Mockaroo
Random Data Monster
Universal Data Generator
Dummy File Generator
DUMMY DATABASE
RANDOM.ORG
Wheel of Names
Data generator that can create a table filled with pseudo-random content.

Which is more popular?
Based on our record, FeathersJS seems to be more popular. It has been mentioned 39 times since March 2021.
Website, pricing, platforms and company facts side by side.
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DC
Data Creator
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| Website | feathersjs.com | ecleti.com |
| Pricing | — | |
| Listed in |
What each product offers, as listed by its team.

Possible disadvantages
No features have been listed yet.
Walkthroughs and reviews on video.
OSS 2019: FeathersJS with David Lueke
More videos
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How often each product is chosen within a category, 0–100% relative to the other.

Share your experience with using FeathersJS and Data Creator. For example, how are they different and which one is better?
Recommendations tracked on public social media and blogs since March 2021.

This is just using sqlite under the hood and none of this will scale. Why build your own query builder as well when you could just hook in one of the many ORMs in the NPM ecosystem and add support for 50+ other databases. This also isn't... - Source: Hacker News / over 2 years ago
For backend this might help https://feathersjs.com. I’m not affiliated with them, just a happy user. - Source: Hacker News / over 2 years ago
Feathers.js is a web framework built on top of Express which provides a simple way to develop a scalable and reliable application. Feathers.js supports many databases and works with any frontend technology including iOS, Android, and... - Source: dev.to / almost 3 years ago
Tracking Data Creator since Mar 2021.
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Give your JS App some Backbone with Models, Views, Collections, and Events
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Generate realistic Salesforce test data with proper relationships and record types in minutes! Direct upload to sandboxes—no CSV wrangling, no production data risks.
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