
Splitwise
Tricount
Splid
Spliit
ihatemoney
Splitser
Kittysplit
SETTLE UP is an indispensable app for friends and flatmates who need to keep track of shared bills...

Saturn Cloud
Amazon SageMaker
Databricks Unified Analytics Platform
Azure Synapse Analytics
Google BigQuery
GeoSpock
Delta Lake
A collaboration platform for data scientists

Which is more popular?
Based on our record, Deepnote seems to be a lot more popular than Settle Up. While we know about 34 links to Deepnote, we've tracked only 1 mention of Settle Up.
Website, pricing, platforms and company facts side by side.
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| Website | settleup.io | status.deepnote.com |
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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.


No analysis of Settle Up yet.
Overall verdict
Why this product is good
Recommended for
Walkthroughs and reviews on video.
Settle Up - hisab rakhna hua aasan
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Could this be the Best Data Science Notebook? (Deepnote)
How often each product is chosen within a category, 0–100% relative to the other.


Share your experience with using Settle Up and Deepnote. For example, how are they different and which one is better?
External articles and on-site reviews we used to compare the two products.


Settle Up is a great option for anyone who wants an easy way to split bills. With features like peer-to-peer payments, automated payment reminders, and detailed accounts of transactions, the Settle Up app makes it...
Settle Up excels in its calculation capabilities, providing accurate and fair splits of expenses. The app considers various factors, such as who paid for what and any existing imbalances, to determine each...
Settle Up can handle a variety of payment scenarios: When one person pays or multiple people have paid, it can split payments evenly based on the amounts or allow you to select individual amounts for each person to...
Deepnote is a cloud-based data science notebook platform comparable to Jupyter Notebooks but with a focus on real-time collaboration and editing. It lets users write and run code in several programming languages, as...
Deepnote is a real-time collaborative notebook. It offers features like real-time collaboration, version control, and smart autocomplete. It also provides direct integrations with popular data sources like GitHub,...
Deepnote is a cloud-based, data science notebook platform that is similar to Jupyter Notebooks, but with a focus on collaboration and real-time editing. It allows users to write and execute code in a variety of...
Recommendations tracked on public social media and blogs since March 2021.


Can't you have her send you her money on your bank account, keep track of that on an app like Settle Up, load your combined budget on a WeSwap card and go from there? Source: almost 5 years ago
Thank you for the list - I think I've come across all of these in my research! I'll try highlight the differences for each. - https://noteable.io/ - as you say, it doesn't exist anymore - https://deepnote.com - I actually mentioned this... - Source: Hacker News / over 2 years ago
- https://deepnote.com -- also extensive AI integration and realtime collaboration. - Source: Hacker News / over 2 years ago
Deepnote - A new data science notebook. Jupyter is compatible with real-time collaboration and running in the cloud. The free tier includes unlimited personal projects, up to 750 hours of standard hardware, and teams with up to 3 editors. - Source: dev.to / almost 3 years ago
When comparing Settle Up and Deepnote, you can also consider the following products.

Splitwise is a free tool for friends and roommates to track bills and other shared expenses, so that everyone gets paid back. On the web, iPhone, and Android!
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ML in the cloud. Loved by Data Scientists, Control for IT. Advance your business's ML capabilities through the entire experiment tracking lifecycle. Available on multiple clouds: AWS, Azure, GCP, and OCI.
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Amazon SageMaker provides every developer and data scientist with the ability to build, train, and deploy machine learning models quickly.
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