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Datalore VS CoCalc

Compare Datalore VS CoCalc and see what are their differences

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Datalore logo Datalore

Datalore is an interactive web-based workbook for data analysis, scientific exploration and visualization in Python.

CoCalc logo CoCalc

Collaborative Calculation and Data Science
  • Datalore Landing page
    Landing page //
    2022-12-17
  • 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.

Datalore features and specs

  • Integrated Development Environment
    Datalore provides a sophisticated and user-friendly IDE specifically tailored for data science, offering features such as auto-completion, version control, and easy collaboration.
  • Collaboration Tools
    Allows multiple users to work simultaneously on the same notebook, enabling efficient teamwork with features like comments and real-time synchronization.
  • Built-in Libraries and Tools
    Includes pre-installed libraries essential for data analysis, machine learning, and visualization, which saves time compared to setting up environments from scratch.
  • Scalability
    Datalore can be connected to cloud computing resources, allowing users to scale their computations as needed, which is beneficial for handling large datasets.
  • JetBrains Ecosystem
    As a product of JetBrains, Datalore integrates well with other JetBrains tools and benefits from ongoing development and dedicated support.

Possible disadvantages of Datalore

  • Pricing Model
    While a free tier is available, advanced features and increased resource access require a paid subscription, which might be a barrier for some users.
  • Learning Curve
    Users not familiar with JetBrains' interfaces might find the transition to Datalore a bit challenging compared to more widely-used platforms like Jupyter.
  • Internet Dependency
    As a cloud-based service, a stable internet connection is necessary, which can be inconvenient or limiting in environments with poor connectivity.
  • Limited Offline Functionality
    Unlike local installations of Jupyter or RStudio, Datalore's functionality is limited offline, potentially restricting use cases where offline access is needed.
  • Resource Limitations on Free Tier
    The free tier has restrictions on computation time and resources, which may not be suitable for extensive or resource-intensive data analysis projects.

CoCalc features and specs

  • Collaboration
    CoCalc offers real-time collaboration, allowing multiple users to work on the same project simultaneously, making it ideal for group projects and teaching.
  • Integration with Jupyter Notebooks
    It supports Jupyter Notebooks, which are popular for data analysis and scientific computing, allowing users to easily share and execute their code.
  • Reproducibility
    CoCalc provides tools to help ensure that computational results can be easily reproduced, supporting both academic research and educational settings.
  • Wide Range of Tools
    The platform supports several programming languages and tools, including LaTeX, Python, R, and SageMath, offering a versatile working environment.
  • Accessibility
    As a cloud-based platform, CoCalc is accessible from anywhere with an internet connection, allowing users to work remotely.

Possible disadvantages of CoCalc

  • Performance Limitations
    As CoCalc is a cloud-based service, computational resources are shared, which can lead to performance limitations compared to local execution.
  • Cost
    While CoCalc offers a free version, advanced features and more computational resources require a subscription, which may not be affordable for all users.
  • Learning Curve
    New users might face a learning curve when getting started with CoCalc, especially if they are unfamiliar with similar platforms or the supported technologies.
  • Internet Dependency
    Since CoCalc is an online platform, a stable internet connection is necessary, which can be a disadvantage in areas with poor connectivity.
  • Limited Customization
    Compared to setting up a local environment, CoCalc may offer less flexibility in configuring the available software and environment settings.

Datalore videos

+ Add

Star Trek: TNG Review - 1x13 Datalore | Reverse Angle

More videos:

  • Tutorial - Getting started with Datalore: online Jupyter notebook tutorial
  • Tutorial - Visualization Tutorial With Pyplot in Datalore by JetBrains

CoCalc videos

+ Add

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 Datalore and CoCalc)

Datalore

CoCalc

Machine Learning
100 100%
Machine Learning
0% 0
Mathematics
0 0%
Mathematics
100% 100
Data Science Notebooks
100 100%
Data Science Notebooks
0% 0
Python IDE
0 0%
Python IDE
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 Datalore and CoCalc

Datalore Reviews

Jupyter Notebook & 10 Alternatives: Data Notebook Review [2023]
One of JetBrains Datalore’s advantages is its interaction with the JetBrains ecosystem of tools, which includes IDEs like PyCharm and IntelliJ. That’s also why the tool is primarily aimed at ecosystem users.
Source: lakefs.io
12 Best Jupyter Notebook Alternatives [2023] – Features, pros & cons, pricing
JetBrains Datalore is a cloud-based data science platform 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 SQL, and provides access to powerful hardware resources, including GPUs. One of the main advantages of JetBrains Datalore is its...
Source: noteable.io

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 should be more popular than Datalore. It has been mentiond 31 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.

Datalore mentions (10)

  • Plotting Financial Data in Kotlin with Kandy
    For working with datasets (loading and processing), I use Kotlin DataFrame. It is a library designed for working with structured in-memory data, such as tabular or JSON. It offers convenient storage, manipulation, and data analysis with a convenient, typesafe, readable API. With features for data initialization and operations like filtering, sorting, and integration, Kotlin DataFrame is a powerful tool for data... - Source: dev.to / about 1 year ago
  • A list of SaaS, PaaS and IaaS offerings that have free tiers of interest to devops and infradev
    Datalore - Python notebooks by Jetbrains. Includes 10 GB of storage and 120 hours of runtime each month. - Source: dev.to / about 1 year ago
  • Best online course to actually learn to use Python
    Last 1/3 of course sections: More of the same really, thought I had sections where I had to install earlier iterations of Python due to incompatible libraries in some of the course sections. As ever, student comments & furious Stack Overflow searches were helpful. Also, Jupyter notebooks are introduced in this part of the course. As I'm using the Community Edition of Pycharm for the course AND the free versions... Source: about 2 years ago
  • A new take on a Jupyter interface
    - Do you know about https://datalore.jetbrains.com/? They seem to have this cool thing where you can rewind the state of the notebook using CRIU. I don't know how well this works in practice but I think it could help with experiment management, debugging and getting code to production. Source: over 2 years ago
  • New Jupyter Notebook competition
    Have you looked at Datalore, https://datalore.jetbrains.com/. Source: about 3 years ago
View more

CoCalc mentions (31)

  • Hetzner introduces GPU server for AI training
    CoCalc offers On-Demand GPU servers with H100s starting at $2.01 per hour (metered per second) through its integration with Hyperstack... It also has more budget-friendly options, like RTX A4000s at $0.18 per hour. https://cocalc.com/features/compute-server In case you are not familiar, CoCalc is a real-time collaborative environment for education and research that you can access via your web browser at... - Source: Hacker News / 7 months ago
  • Show HN: Adding Mistral Codestral and GPT-4o to Jupyter Notebooks
    Thank you for the list - I think I've come across all of these in my research! I'll try highlight the differences for each. - https://noteable.io/ - as you say, it doesn't exist anymore - https://deepnote.com - I actually mentioned this in the post but in my experience, the UX and features far behind what we've built already. I'd love to hear from anyone who's tried jupyter-ai to give us a shot and let me know... - Source: Hacker News / 10 months ago
  • Show HN: Adding Mistral Codestral and GPT-4o to Jupyter Notebooks
    - https://cocalc.com -- very extensive AI integration everywhere with all the main hosted models, mostly free or pay as you go; also has realtime collaboration. (Disclaimer: I co-authored this.). - Source: Hacker News / 10 months ago
  • 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 / 12 months 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 / about 1 year ago
View more

What are some alternatives?

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

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.

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

Colaboratory - Free Jupyter notebook environment in the cloud.

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 - .

Deepnote - A collaboration platform for data scientists

Tableau - Tableau can help anyone see and understand their data. Connect to almost any database, drag and drop to create visualizations, and share with a click.

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