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Deepnote VS Calculist

Compare Deepnote VS Calculist and see what are their differences

Logseq
Logseq is a local-first, non-linear, outliner notebook for organizing and sharing your personal knowledge base. featured
Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

Deepnote logo Deepnote

A collaboration platform for data scientists

Calculist logo Calculist

The open-source, web-based thinking tool that facilitates effective thinking for solving problems.
  • Deepnote Landing page
    Landing page //
    2023-10-09
  • Calculist Landing page
    Landing page //
    2023-05-10

Deepnote videos

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

Calculist videos

No Calculist videos yet. You could help us improve this page by suggesting one.

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Category Popularity

0-100% (relative to Deepnote and Calculist)

Deepnote

Calculist

Data Science And Machine Learning
89 89%
Data Science And Machine Learning
11% 11
Data Science Notebooks
0 0%
Data Science Notebooks
100% 100
Productivity
100 100%
Productivity
0% 0
AI
100 100%
AI
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 Deepnote and Calculist

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...
Source: analyticsindiamag.com

Calculist Reviews

We have no reviews of Calculist yet.
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Social recommendations and mentions

Based on our record, Deepnote seems to be a lot more popular than Calculist. While we know about 32 links to Deepnote, we've tracked only 1 mention of Calculist. 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.

Deepnote mentions (32)

  • A list of SaaS, PaaS and IaaS offerings that have free tiers of interest to devops and infradev
    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 / 3 months ago
  • JupyterLab 4.0
    We looked into many of these issues with Deepnote (YC S19) [https://deepnote.com/]. What we found is that these are not necessarily problems of the underlying medium (a notebook), but more of the specific implementation (Jupyter). We've seen a lot of progress in the Jupyter ecosystem, but unfortunately almost none in the areas you mentioned. - Source: Hacker News / 11 months ago
  • Ask HN: Fastest way to turn a Jupyter notebook into a website these days?
    Upload your ipynb to Deepnote and publish as an app. That simple. https://deepnote.com. - Source: Hacker News / about 1 year ago
  • Quick tip: Using a SingleStoreDB Recursive CTE with London Underground data
    Using Deepnote, we'll create a Python notebook and upload the two GeoJSON files into a data directory. - Source: dev.to / over 1 year ago
  • free-for.dev
    Deepnote - A new kind of data science notebook. Jupyter-compatible with real-time collaboration and running in the cloud. Free tier includes unlimited personal projects, up to 750 hours of standard hardware and teams with up to 3 editors. - Source: dev.to / over 1 year ago
View more

Calculist mentions (1)

  • Productivity course for people w/ narcolepsy
    I was diagnosed in 2011 and have struggled a lot to stay productive as a software developer. Somewhat ironically, I've also been building productivity software for my entire career (most recently Calculist), and I think that the combination of those two things puts me in a unique position to help my fellow people with narcolepsy. Source: almost 3 years ago

What are some alternatives?

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

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

Jupyter - Project Jupyter exists to develop open-source software, open-standards, and services for interactive computing across dozens of programming languages. Ready to get started? Try it in your browser Install the Notebook.

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

Observable Notebooks - The portfolio and technical blog of Chris Henrick – provider of professional web development, data visualization, GIS, mapping, & cartography services.

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.

BeakerX - Open Source Polyglot Data Science Tool

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