
Strava
Supersonic Server
Pedometer++
uRace: Gamified run/ride/swim/hike
FitOn
SuratFit
Steps
Turn Your Everyday Activity into a Virtual Adventure!
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?
Website, pricing, platforms and company facts side by side.
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DC
Data Creator
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|---|---|---|
| Website | steptastic.app | ecleti.com |
| Pricing | — | |
| Platforms | — | |
| Company | 1 - 9 employees · 2024 | — |
| Listed in |
In their own words, as submitted to SaaSHub.

Every step, cycle, swim, or workout you do counts toward a Virtual Challenge. Whether you're commuting by bike, walking the dog, or crushing a gym session, your real-world activity powers your virtual journey across the globe - no Apple Watch required! Set Goals & Track Your Progress Stay...
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An editorial look at what each product does well and who it suits.

Overall verdict
Why this product is good
Recommended for
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CMR: Is Step Brothers... Steptastic?
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How often each product is chosen within a category, 0–100% relative to the other.

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When comparing Steptastic and Data Creator, you can also consider the following products.

A realistic data generator to test your app
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Supersonic is a music system that allows you to playback your music with full control given to you. The keys to the castle are yours now. It's just up to you what you chose to do with them.
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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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gmap-pedometer.com is the free, no login required, route planner for runners cyclists and walkers. Measure your distance in miles or km, see elevation graphs, and track calorie burn all one one page.
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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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