
DISQUS
giscus
Cusdis
ReplyBox
talkatv
HashOver
Remark42
A lightweight comments widget built on GitHub issues.
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, utterances seems to be more popular. It has been mentioned 53 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 | utteranc.es | ecleti.com |
| Pricing | — | |
| Listed in |
What each product offers, as listed by its team.

Possible disadvantages
No features have been listed yet.
An editorial look at what each product does well and who it suits.

Overall verdict
Why this product is good
Recommended for
No analysis of Data Creator yet.
Walkthroughs and reviews on video.
SEMANTICS-7: Utterances, Sentences & Propositions
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How often each product is chosen within a category, 0–100% relative to the other.

Share your experience with using utterances 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.

Utterances: **The primary inspiration for giscus. It uses **GitHub Issues instead of Discussions to store comments. It is extremely lightweight but does not support threaded replies as natively as giscus. - Source: dev.to / 7 months ago
Title: [TIL][Jekyll] Removing Disqus and switching to utteranc to use github issue as article comments Published: false Date: 2021-05-14 00:00:00 UTC Tags: Canonical_url:... - Source: dev.to / over 5 years ago
'use client'; Import { useEffect, useRef } from 'react'; Const Comments = ({ issueTerm }) => { const commentsSection = useRef(null); useEffect(() => { const script = document.createElement('script'); script.src =... - Source: dev.to / over 2 years ago
Tracking Data Creator since Mar 2021.
When comparing utterances and Data Creator, you can also consider the following products.

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A realistic data generator to test your app
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A comments system powered by GitHub Discussions. Let visitors leave comments and reactions on your website via GitHub!
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Random Data Monster is a comprehensive suite of advanced random data generation that features generating secure passwords, names, numbers and more than 30+ Google Sheets custom functions to generate random data.
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Open-source, lightweight comment system for your website
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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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