
Mockaroo
FakerBox
Data Creator
Dummy File Generator
DDL to Data
RandomPhoneNumber.online
Nodeflip
GenerateData.com: free, GNU-licensed, random custom data generator for testing software

Dune Analytics
CoinGecko
Messari
CryptoQuant
Coinglass
TradingView
CoinMarketCap
Blockchain analytics platform to identify rare opportunities

Which is more popular?
Based on our record, Generate Data should be more popular than Nansen. It has been mentioned 14 times since March 2021.
Website, pricing, platforms and company facts side by side.
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| Website | generatedata.com | nansen.ai |
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What each product offers, as listed by its team.


Possible disadvantages
Possible disadvantages
An editorial look at what each product does well and who it suits.


No analysis of Generate Data yet.
Overall verdict
Why this product is good
Recommended for
Nansen is recommended for crypto traders, investors, DeFi enthusiasts, hedge funds, analysts, and anyone looking to gain deeper insights into blockchain activities and trends. Novices might find the platform a bit overwhelming, but it is highly beneficial for those who are serious about leveraging blockchain data for strategic decisions.
Walkthroughs and reviews on video.
Generate Data Science/Data Analysis Report of your DataSet in 5 Minutes
Nansen Review: Should NFT Buyers Use It?
More videos
How often each product is chosen within a category, 0–100% relative to the other.


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


When you're learning SQL or testing queries, having access to realistic mock data is essential. Tools like Mockaroo and GenerateData can quickly create large datasets that you can upload into your database. You can define custom fields... - Source: dev.to / over 1 year ago
Since you will almost certainly need data to work on, I recommend generatedata.com. Source: over 3 years ago
Like this one I just found randomly. https://generatedata.com/. Source: over 3 years ago
The whole design rested on one assumption. The data knocked it down in the first afternoon. This post covers what I assumed, what Nansen's labels showed, and which part of the product turned out to do the real work. - Source: dev.to / 9 days ago
I built Sent Wrong to answer that one question. You paste the address you sent to (and your own, if you like). It runs up to ten calls against Nansen's API and gives you one of four routes, the evidence behind it, and a support ticket... - Source: dev.to / 9 days ago
I built a tool to answer that. You type a ticker, and it asks Nansen's API for every token with that name across chains. Then it checks who actually holds and trades each one: labelled Smart Money, whales, top-PnL wallets, exchange flow,... - Source: dev.to / 9 days ago
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