
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
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?
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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DC
Data Creator
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| Website | osf.io | ecleti.com |
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What each product offers, as listed by its team.

Possible disadvantages
No features have been listed yet.
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.

Share your experience with using Open Science Framework and Data Creator. 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 Data Creator since Mar 2021.
When comparing Open Science Framework and Data Creator, 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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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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arXiv is a free distribution service and an open-access archive for scholarly articles.
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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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