
figshare
GitHub
arXiv
Substack
Medium
Arxiv Sanity Preserver
Google Scholar
Open Science Framework provides project management with collaborators, and project sharing with the public.

Mockaroo
DataConstruct
Data Creator
Datamade
Random Data
Generate and manage synthetic datasets easily with DUMMY DATABASE

Which is more popular?
Based on our record, Open Science Framework seems to be more popular. It has been mentioned 38 times since March 2021.
Website, pricing, platforms and company facts side by side.
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| Website | osf.io | dummydatabase.com |
| Pricing | — | |
| Platforms | — | |
| Company | — | Startup from Serbia · 1 - 9 employees · 2024 |
| Listed in |
In their own words, as submitted to SaaSHub.


No description of Open Science Framework yet.
Dummy Database is built to solve a simple, yet annoying problem — generating realistic test datasets quickly, without writing scripts or juggling Excel files. It’s designed for: - Developers needing dummy databases for prototyping & testing. - Analysts and BI specialists preparing demo...
What each product offers, as listed by its team.


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


No analysis of Open Science Framework yet.
Overall verdict
Why this product is good
Recommended for
Walkthroughs and reviews on video.
What is the Open Science Framework all about?
More videos
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How often each product is chosen within a category, 0–100% relative to the other.


As answered by people managing Open Science Framework and DUMMY DATABASE.
DUMMY DATABASE's answer:
A free, all-in-one data generation platform that builds everything from simple tables to full relational databases with advanced controls, unique event sequences, ERD visualization, built-in SQL querying, and multiple export formats — no limits, no paywalls.
DUMMY DATABASE's answer:
Unlike other data generators, DUMMY DATABASE gives you full relational database creation, unique event simulations, advanced control over every field, built-in SQL querying, and generous free limits — so you can go from idea to test-ready data without restrictions, subscriptions, or hidden fees
DUMMY DATABASE's answer:
DUMMY DATABASE's answer:
Began as a project for myself to be able to have custom datasets for testing purpose I've decided that it could be useful for wider audience and finalized it as a full-stack web project
DUMMY DATABASE's answer:
Python, Flask, HTML, CSS, Bootstrap, Redis, PostgreSQL, JavaScript
Share your experience with using Open Science Framework and DUMMY DATABASE. For example, how are they different and which one is better?
Recommendations tracked on public social media and blogs since March 2021.


Last night I happened to listen to an episode[1] on EconTalk where the author of the post (Adam Mastroianni, a psychologist) was a guest. Definitely worth a listen. Adam also supports "open science framework" (https://osf.io/) and... - Source: Hacker News / over 2 years ago
Here are a few options to consider. First, Google Scholar. If you're logged into Google it will make a handful of recommendations on its front page. I've not really paid attention to how good the recommendations are. It says they're... - Source: Hacker News / about 3 years ago
It's customary to use OSF (https://osf.io/) on papers this "groundbreaking," as it encourages scientists to validate and replicate the work. It's also weird that at this stage there are not validation checks in place, exactly like those... - Source: Hacker News / about 3 years ago
Tracking DUMMY DATABASE since Aug 2025.
When comparing Open Science Framework and DUMMY DATABASE, you can also consider the following products.

Securely store and manage your research outputs in the cloud, or make them openly available and citable.
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A realistic data generator to test your app
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Originally founded as a project to simplify sharing code, GitHub has grown into an application used by over a million people to store over two million code repositories, making GitHub the largest code host in the world.
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We fake it till you make it!
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arXiv is a free distribution service and an open-access archive for scholarly articles.
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Data generator that can create a table filled with pseudo-random content.
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