Software Alternatives, Accelerators & Startups

Altair Monarch VS Deepnote

Compare Altair Monarch VS Deepnote and see what are their differences

Altair Monarch logo Altair Monarch

Altair Monarch is a self-service data preparation software that streamlines both reporting and analytics processes.

Deepnote logo Deepnote

A collaboration platform for data scientists
  • Altair Monarch Landing page
    Landing page //
    2023-01-22
  • Deepnote Landing page
    Landing page //
    2023-10-09

Altair Monarch videos

Altair Monarch

More videos:

  • Review - Daily Debit Reconciliation Using Altair Monarch™

Deepnote videos

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

Category Popularity

0-100% (relative to Altair Monarch and Deepnote)
Data Dashboard
100 100%
0% 0
Data Science And Machine Learning
Office & Productivity
100 100%
0% 0
AI
0 0%
100% 100

User comments

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Reviews

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

Altair Monarch Reviews

We have no reviews of Altair Monarch 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 more popular. It has been mentiond 34 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.

Altair Monarch mentions (0)

We have not tracked any mentions of Altair Monarch yet. Tracking of Altair Monarch recommendations started around Mar 2021.

Deepnote mentions (34)

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What are some alternatives?

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

Alteryx - Alteryx provides an indispensable and easy-to-use analytics platform for enterprise companies making critical decisions that drive their business strategy and growth.

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

Trifacta - Data Transformation Platform.

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

Tableau Prep - Tableau Prep is comprised of two products: Prep Builder and Prep Conductor.

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.