
PubMed.gov
SCI-HUB
Forge
Leap Motion
360° media
CardBoard
arXiv
Google Scholar is a freely accessible web search engine that indexes the full text of scholarly...

Screenful
Databox
Grafana
LinearB
Intellicus
SAS Customer Intelligence
DigDash Enterprise
is a dashboard tool for engineers and project managers to quantify their productivity by aggregating various numbers from GitHub, Asana, Slack, etc.

Which is more popular?
Based on our record, Google Scholar seems to be a lot more popular than WorkStats.dev. While we know about 1005 links to Google Scholar, we've tracked only 1 mention of WorkStats.dev.
Website, pricing, platforms and company facts side by side.
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| Website | scholar.google.com | workstats.dev |
| Pricing | — | |
| Platforms | — | |
| Company | Startup from the United States | 2022 |
| Listed in |
In their own words, as submitted to SaaSHub.


No description of Google Scholar yet.
WorkStats is a dashboard tool for engineers and project managers to visualize their productivity and the amount they contribute. It aggregates various numbers from platforms used by members and teams, such as GitHub, Asana, Slack, etc. For example, you can track your own and your team's numbers...
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.


Overall verdict
Why this product is good
Recommended for
No analysis of WorkStats.dev yet.
Walkthroughs and reviews on video.
How to do a literature review using Google Scholar
More videos
WorkStats Product Demo as of 202207
How often each product is chosen within a category, 0–100% relative to the other.


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


To learn about sentiment analysis, I'd look for related datasets and then look at recent code, e.g. here: https://www.kaggle.com/datasets?search=sentiment+analysis For more LLM-specific stuff, you can pick some agent trace dataset on... - Source: Hacker News / about 2 months ago
Https://arxiv.org/abs/2201.02177 This paper is not hard to find; it's the first result when you search for "grokking" with https://scholar.google.com. - Source: Hacker News / 7 months ago
Definitely not the first AI generated font. One can find an enormous amount of research in AI font generation on https://scholar.google.com/ going back many years. This could possibly be the first one that used Nano Banana though. - Source: Hacker News / 10 months ago
We have also developed and are operating WorkStats, a tool that makes it easy to measure these specific indicators. It is still an MVP, but you are welcome to try it out if you like. We are sure you will discover something new. - Source: dev.to / almost 4 years ago
When comparing Google Scholar and WorkStats.dev, you can also consider the following products.

PubMed comprises more than 29 million citations for biomedical literature from MEDLINE, life science journals, and online books. Citations may include links to full-text content from PubMed Central and publisher web sites.
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It provides mass and public access to tens of millions of research papers
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Agentic analytics that helps you and your agents act on performance insights faster.
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