
Ariba
Precoro
Procurify
Conga Contracts
SAP Fieldglass
Spendesk
BuyerQuest
Gatekeeper
GitHub Skyline
GitMerch
Commit Print
GitHub Contributions
Git Skyline
GitHub City
JANDI
#GitHubWrapped
Ariba
GitHub SkylineAriba is recommended for medium to large enterprises that require robust procurement solutions. It is particularly suitable for businesses seeking to improve their supply chain efficiency and those looking for seamless integration with other enterprise systems.
Based on our record, GitHub Skyline seems to be more popular. It has been mentiond 19 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
- https://skyline.github.com : it is dead, like as Atom . - Source: Hacker News / about 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 / over 3 years ago
What about this? https://skyline.github.com/. Source: over 3 years ago
New You can now view your commit history in 3d or in VR. Source: about 4 years ago
I just saw this new feature on GitHub! And I am very excited to say this. Just Go to this URL http://skyline.github.com and enter your GitHub username. You will find a cool visualization of your contributions. Source: about 4 years ago
Precoro - Precoro is a robust procure-to-pay system for your business. Automated purchasing, simple sourcing and spend analytics โ all in one easy-to-use platform!
GitMerch - Get a T-shirt with your GitHub contribution map on it
Procurify - Reinvent the way organizations spend to make the purchasing process more accessible, manageable and convenient.
Commit Print - Posters of your git history
Conga Contracts - Conga Contracts is management solution designed to accelerate and simplify contract negotiations in Salesforce.
GitHub Contributions - All your GitHub contributions in one image