
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

RedisGraph
neo4j
ArangoDB
NetworkX
Wikibase
OrientDB
Titan Database
An embedded transactional graph engine for Python.
Which is more popular?
Based on our record, Generate Data seems to be more popular. 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 | github.com |
| Pricing | — | |
| Listed in |
What each product offers, as listed by its team.


Possible disadvantages
Possible disadvantages
Walkthroughs and reviews on video.
Generate Data Science/Data Analysis Report of your DataSet in 5 Minutes
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How often each product is chosen within a category, 0–100% relative to the other.


Share your experience with using Generate Data and LemonGraph. 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
Tracking LemonGraph since Mar 2021.
When comparing Generate Data and LemonGraph, you can also consider the following products.
A realistic data generator to test your app
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A high-performance graph database implemented as a Redis module.
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Free Data Generator For Developers, Designers & Testers
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Meet Neo4j: The graph database platform powering today's mission-critical enterprise applications, including artificial intelligence, fraud detection and recommendations.
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Data generator that can create a table filled with pseudo-random content.
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A distributed open-source database with a flexible data model for documents, graphs, and key-values.
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