
Metabase
MindsDB
Avian
Basedash
LogicLoop
DataSquirrel.ai
Telow
Analytics as code - your team and AI agents build and maintain your entire analytics stack together, from ETLs to dashboards, in a git repo you own.

GitMerch
Commit Print
GitHub Contributions
Gource
Git Skyline
Github Feel Good
GitHub City
View and print a 3D model of your GitHub contribution graph

Which is more popular?
Based on our record, GitHub Skyline seems to be more popular. It has been mentioned 19 times since March 2021.
Website, pricing, platforms and company facts side by side.
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|---|---|---|
| Website | querio.ai | skyline.github.com |
| Pricing | — | |
| Listed in |
In their own words, as submitted to SaaSHub.


Querio is the data platform where your team and your AI agents build and maintain your entire analytics stack together - from ETLs to dashboards - in a git repo you own. Context, dashboards, and automations live as versioned code and files, so a metric definition changes once and updates...
No description of GitHub Skyline yet.
What each product offers, as listed by its team.


Possible disadvantages
Walkthroughs and reviews on video.
doble Kara by Lars Prsko, Of Tablador, Og Querio Review (HeneralRap Review)
GitHub Skyline 2020
More videos
How often each product is chosen within a category, 0–100% relative to the other.


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


Tracking Querio since Sep 2023.
- https://skyline.github.com : it is dead, like as Atom . - Source: Hacker News / over 2 years ago
GitHub Skyline provides a sci-fi-ish, synthwave-y visualization of your contributions for a given year that's viewable in your browser, in real life, or in virtual reality. - Source: dev.to / almost 4 years ago
What about this? https://skyline.github.com/. Source: almost 4 years ago
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Get a T-shirt with your GitHub contribution map on it
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We are an open-source project that enables you to do Machine Learning using SQL directly from the Database.
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All your GitHub contributions in one image
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