Dadroit JSON Viewer
Jayson
ExtendsClass JSON Generator
MockTurtle.net
Fullstack Vue
Mockaroo
DevToys
Create mock and sample JSON using a powerful template syntax

LiveScore
Sport Eden
SofaScore
FotMob
FlashScore
365scores
Onefootball
Pro sports analytics for Football, MMA, MLB, NBA and Tennis — xG, fatigue curves, and matchup tools most sites don't show.

Which is more popular?
Based on our record, JSON Generator seems to be more popular. It has been mentioned 9 times since March 2021.
Website, pricing, platforms and company facts side by side.
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JSO
JSON Generator
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| Website | json-generator.com | phantomstat.com |
| Pricing | — | |
| Platforms | — | |
| Company | — | Startup from France · 1 - 9 employees · 2026 |
| Listed in |
In their own words, as submitted to SaaSHub.

No description of JSON Generator yet.
PhantomStat is a sports analytics platform built for the gap between casual score sites and paywalled pro tools, covering five sports: football, MMA/UFC, MLB, NBA and tennis. Football — free preview pages for 1,230+ teams and 1,960+ players, with modules for Attack vs Defense (xG/shots/goals),...
What each product offers, as listed by its team.

Possible disadvantages
How often each product is chosen within a category, 0–100% relative to the other.

As answered by people managing JSON Generator and PhantomStat.
PhantomStat's answer:
PhantomStat started from a simple gap: casual sports sites stop at the final score and a season average, while the tools that go deeper are built for professionals and priced for them. The goal was to put real per-entity detail — xG and PSxGA for soccer, round-by-round fatigue curves for MMA, matchup splits for MLB, opponent-defense splits for NBA, serve/return breakdowns for tennis — one page away for any fan, on a free account rather than an enterprise contract. The paid Pro tier at $29.99 per month adds the full dashboards, the advanced filters and the historical archive.
PhantomStat's answer:
Sports fans who want more than a final score, and fantasy/simulation players who need the underlying splits rather than a season average. That covers casual fans checking a player's recent form, fantasy managers comparing matchup histograms before setting a lineup, and anyone who follows football, MMA, MLB, NBA or tennis closely enough to want per-round, per-game or per-matchup detail instead of a single headline stat.
PhantomStat's answer:
PhantomStat covers five sports in one platform — football, MMA, MLB, NBA and tennis — with dedicated pages per player, team, fighter and matchup. Instead of just headline numbers, each page surfaces the underlying breakdown: xG and PSxGA for football, per-round fatigue curves for MMA, a Prop Line Explorer with histograms for MLB, form and opponent-defense splits for NBA, and serve/return breakdowns for tennis. A free account unlocks a quota of pages across every sport; a paid Pro tier ($29.99 / €29.99 / £24.99 per month) unlocks advanced filtering and the full historical archive.
PhantomStat's answer:
Most single-sport score sites stop at the headline number, and most deep-analytics tools are priced for professionals. PhantomStat covers five sports in one place (football, MMA, MLB, NBA, tennis) instead of forcing you to juggle a separate tool per sport, and every player, team, fighter and matchup gets its own page rather than a row in a table. A free account unlocks a quota of those pages across every sport; the full dashboards, filters and comparison tools are $29.99 per month. Pages are built for search too — SEO-friendly URLs mean a specific player or matchup is usually one search away.
Share your experience with using JSON Generator and PhantomStat. For example, how are they different and which one is better?
Recommendations tracked on public social media and blogs since March 2021.

JSON Generator: also generates mock data, but for JSON specifically. It's a bit more complex, but it allows for tailor-made results. - Source: dev.to / almost 3 years ago
Is there a generator for all the JSON generators out there? https://json-generator.com/. - Source: Hacker News / about 3 years ago
So I generated a random JSON file and tried parsing it. It doesn’t error, but whenever I do a println(root.Object().Value().String()), I get a panic: wrong type. If I do a println(root.Object().Present()), it prints false. So seems like... Source: over 3 years ago
Tracking PhantomStat since Jul 2026.
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