Software Alternatives, Accelerators & Startups

Triplit VS Deepnote

Compare Triplit VS Deepnote and see what are their differences

Triplit logo Triplit

Triplit is a complete solution to data persistence, state management, and realtime synchronization for web applications that want to go fast.

Deepnote logo Deepnote

A collaboration platform for data scientists
Not present
  • Deepnote Landing page
    Landing page //
    2023-10-09

Triplit videos

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

Add video

Deepnote videos

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

Category Popularity

0-100% (relative to Triplit and Deepnote)
Databases
100 100%
0% 0
Data Science And Machine Learning
NoSQL Databases
100 100%
0% 0
AI
0 0%
100% 100

User comments

Share your experience with using Triplit and Deepnote. For example, how are they different and which one is better?
Log in or Post with

Reviews

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

Triplit Reviews

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

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.

Triplit mentions (0)

We have not tracked any mentions of Triplit yet. Tracking of Triplit recommendations started around Mar 2024.

Deepnote mentions (34)

View more

What are some alternatives?

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

PostgreSQL - PostgreSQL is a powerful, open source object-relational database system.

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

MongoDB - MongoDB (from "humongous") is a scalable, high-performance NoSQL database.

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

MySQL Community Edition - MySQL :: MySQL Community Edition

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.