
iLovePDF
Kitolity
Smallpdf
TinyWow
CloudConvert
remove.bg for Desktop
Adobe Acrobat DC
100+ free AI-powered browser tools for everyday tasks — no signup required

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 Kitmul. While we know about 34 links to Deepnote, we've tracked only 1 mention of Kitmul.
Website, pricing, platforms and company facts side by side.
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| Website | kitmul.com | status.deepnote.com |
| Pricing | — | |
| Company | Startup from Spain · 1 - 9 employees | — |
| Listed in |
In their own words, as submitted to SaaSHub.


Kitmul is a free collection of 100+ AI-powered browser tools designed for everyday tasks. Convert PDFs, edit images, generate QR codes, blur license plates, enhance photo quality, and much more, all running directly in your browser with no signup, no uploads to external servers, and full privacy....
No description of Deepnote yet.
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
Overall verdict
Why this product is good
Recommended for
Walkthroughs and reviews on video.
Kitmul.com - Short Demo (+200 tools)
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 Kitmul 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.


We have no reviews of Kitmul yet. Be the first one to post
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.


I've been in software development for over ten years. Most of that time I've been deep in open source. I created NextTranslate, Teaful, and more recently Brisa, a web framework built on web components. I also recently built Kitmul, which... - Source: dev.to / 7 months 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 / over 2 years ago
When comparing Kitmul and Deepnote, you can also consider the following products.


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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Free suite of 55+ fast, private tools for PDFs, images, documents & code — most run in your browser (even AI like background removal & OCR). No sign-up.
Compare Kitolity to Kitmul or Deepnote:

Amazon SageMaker provides every developer and data scientist with the ability to build, train, and deploy machine learning models quickly.
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One platform for accelerating data-driven innovation across data engineering, data science & business analytics
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