Software Alternatives, Accelerators & Startups

JupyterLite VS CoCalc

Compare JupyterLite VS CoCalc and see what are their differences

JupyterLite logo JupyterLite

WASM powered Jupyter running in the browser.

CoCalc logo CoCalc

Collaborative Calculation and Data Science
  • JupyterLite Landing page
    Landing page //
    2023-11-11
  • CoCalc Landing page
    Landing page //
    2023-07-29

CoCalc is a sophisticated online workspace that supports Jupyter notebooks, SageMath worksheets and LaTeX. It is a fully managed Python and R Statistics environments provide a lot of packages/libraries out of the box. It is also possible to edit LaTeX files and R documents right inside your browser. A full Linux terminal and an environment to run graphical applications complete CoCalc as a very versatile platform. Beyond that, CoCalc is made for teaching a class online! Avoid the hassle of installing software on every student's machine and help your students more precisely by collaborating on their notebooks.

CoCalc

Website
cocalc.com
$ Details
freemium $14.0 / Monthly
Platforms
Browser Docker
Release Date
2013 April

JupyterLite videos

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CoCalc videos

Real-time collaboration with Jupyter notebooks using CoCalc- William Stein (SageMath, Inc)

More videos:

  • Review - An overview of CoCalc
  • Review - CoCalc: Making open source data analysis software more collaborative

Category Popularity

0-100% (relative to JupyterLite and CoCalc)
Data Science Tools
100 100%
0% 0
Mathematics
0 0%
100% 100
Data Science And Machine Learning
Python IDE
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 JupyterLite and CoCalc

JupyterLite Reviews

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CoCalc Reviews

Jupyter Notebook & 10 Alternatives: Data Notebook Review [2023]
CoCalc (previously called SageMathCloud) is a cloud-based collaborative platform that includes many of the same features as Jupyter Notebooks as well as a number of new ones.
Source: lakefs.io
12 Best Jupyter Notebook Alternatives [2023] – Features, pros & cons, pricing
CoCalc (formerly known as SageMathCloud) is a cloud-based platform for collaborative computing that offers many of the same features as Jupyter Notebooks, as well as a number of additional capabilities. It supports a wide variety of programming languages, including Python, R, and Julia, and provides access to powerful hardware resources, including GPUs. In addition to its...
Source: noteable.io

Social recommendations and mentions

Based on our record, CoCalc seems to be a lot more popular than JupyterLite. While we know about 28 links to CoCalc, we've tracked only 1 mention of JupyterLite. 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.

JupyterLite mentions (1)

  • Show HN: An open source notebook tool for JavaScript
    Why not using JupyterLite which doesn't require a backend? https://jupyter.org/try-jupyter/lab/index.html. - Source: Hacker News / 3 months ago

CoCalc mentions (28)

  • Show HN: I made a better Perplexity for developers
    Is there something like this (maybe this?) that provides an API so I can integrate it like any other model into my own website (in this case, https://cocalc.com)? I tried asking the Phind.com devs, but got ignored. - Source: Hacker News / 19 days ago
  • A list of SaaS, PaaS and IaaS offerings that have free tiers of interest to devops and infradev
    Cocalc.com — (formerly SageMathCloud at cloud.sagemath.com) — Collaborative calculation in the cloud. Browser access to full Ubuntu with built-in collaboration and lots of free software for mathematics, science, data science, preinstalled: Python, LaTeX, Jupyter Notebooks, SageMath, scikitlearn, etc. - Source: dev.to / 4 months ago
  • Ask HN: What is going on regarding quality of service for API access to LLM's?
    I saw in the latest ChatGPT plus announcements that you get better speed if you pay them $20/month. This made me wonder how the speed of the plus version of ChatGPT compares to the API that we pay for (to integrate ChatGPT into https://cocalc.com). We have had solid usage over the last 2 months, and I keep track of exactly how long the complete response takes for each api request. I just checked the stats and... - Source: Hacker News / about 1 year ago
  • A list of apps that helped me through my "de-Googling" process
    Google Colab: CoCalc offers an online, computational notebook experience that could be comparable to Colab. It was initially funded by Google and the NSF, but is mostly funded by paying users these days. Source: about 1 year ago
  • Gpt4free repo given takedown notice by OpenAI
    They put my site https://cocalc.com, which has chatgpt API integration, into this gpt4free. As a result, I had to modify https://cocalc.com to require sign in before providing the ChatGPT functionality to visitors, and I also explicitly updated our terms of service to clarify how our API can be used. I made a pull request - Source: Hacker News / about 1 year ago
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What are some alternatives?

When comparing JupyterLite and CoCalc, you can also consider the following products

Visual Studio Code - Build and debug modern web and cloud applications, by Microsoft

Overleaf - The online platform for scientific writing. Overleaf is free: start writing now with one click. No sign-up required. Great on your iPad.

Databricks - Databricks provides a Unified Analytics Platform that accelerates innovation by unifying data science, engineering and business.‎What is Apache Spark?

ShareLaTeX - An online LaTeX editor that's easy to use. No installation, real-time collaboration, version control, hundreds of LaTeX templates, and more. Log InRegister - Reset Password - Documentation - .

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.

Wolfram Mathematica - Mathematica has characterized the cutting edge in specialized processing—and gave the chief calculation environment to a large number of pioneers, instructors, understudies, and others around the globe.