Software Alternatives, Accelerators & Startups

Akin VS Deepnote

Compare Akin VS Deepnote and see what are their differences

Akin logo Akin

Replace personas with data driven clusters through surveys

Deepnote logo Deepnote

A collaboration platform for data scientists
  • Akin Landing page
    Landing page //
    2021-09-03
  • Deepnote Landing page
    Landing page //
    2023-10-09

Akin videos

Dope Akin Jacket

More videos:

  • Review - AKIN BLIP MOTORCYCLE GLOVES - Ride & Review

Deepnote videos

Could this be the Best Data Science Notebook? (Deepnote)

Category Popularity

0-100% (relative to Akin and Deepnote)
Productivity
36 36%
64% 64
Data Science And Machine Learning
AI
30 30%
70% 70
User Experience
100 100%
0% 0

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Akin and Deepnote

Akin Reviews

We have no reviews of Akin yet.
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Deepnote Reviews

Jupyter Notebook & 10 Alternatives: Data Notebook Review [2023]
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 well as include text, equations, and visualizations in a single document.
Source: lakefs.io
7 best Colab alternatives in 2023
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, Google Drive, and BigQuery. Its modern, intuitive interface makes it a compelling choice for both beginners and experienced data scientists.
Source: deepnote.com
12 Best Jupyter Notebook Alternatives [2023] – Features, pros & cons, pricing
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 programming languages, as well as include text, equations, and visualizations in a single document. Deepnote also has a built-in code editor and supports a wide range...
Source: noteable.io
The Best ML Notebooks And Infrastructure Tools For Data Scientists
A Jupyter-notebook enabled platform, Deepnote boasts of many advanced features. Deepnote supports real-time collaboration to discuss and debug the code. The platform will soon have functions such as versioning, code review, and reproducibility. Deepnote has intelligent features to quickly browse the code, find patterns in your data, and autocomplete code. It can integrate...

Social recommendations and mentions

Based on our record, Deepnote seems to be a lot more popular than Akin. While we know about 34 links to Deepnote, we've tracked only 2 mentions of Akin. 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.

Akin mentions (2)

  • Personas vs. Jobs-to-be-done
    Totally agree on the point about too much focus on demographics! That's exactly what we've found at akin. The real workhorse is the comparison (semantic differentials) with two equally preferential motivations. Source: almost 3 years ago
  • 1950s Design?
    We're thinking about setting up our brand focus on a 1950s theme and even aiming to create an office space that follows this. Https://akin.nz/. Source: almost 3 years ago

Deepnote mentions (34)

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What are some alternatives?

When comparing Akin and Deepnote, you can also consider the following products

Work Styles 360 by Teal - 360 personality test to grow your career

Amazon SageMaker - Amazon SageMaker provides every developer and data scientist with the ability to build, train, and deploy machine learning models quickly.

PrinciplesYou - Gain better self-awareness about your personality

Apache Zeppelin - A web-based notebook that enables interactive data analytics.

The Personality Reveal - Infer your personality from written text.

Saturn Cloud - 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.