| Jupyter Compare with | Self-hosted | Jupyter-compatible | Jupyter | Visualize with code | File-based or asynchronous collaboration | Free | Open source |
| Amazon Sagemaker Compare with | Fully managed | Jupyter-compatible | Jupyter | Visualize with code | Limited collaboration | Free and paid options | Proprietary |
| Deepnote Compare with | Fully managed | Jupyter-compatible | Jupyter, SQL | Visualize with code or UI | Realtime collaboration | Free and paid options | Proprietary |
| Hex Compare with | Fully managed | Jupyter-compatible | Jupyter, SQL | Visualize with code or UI | Realtime collaboration | Free and paid options | Proprietary |
| Databricks Notebooks Compare with | Self-hosted or fully managed | Jupyter-compatible | Jupyter | Visualize with code or UI | Realtime collaboration | Free and paid options | Proprietary |
| DataCamp Workspace Compare with | Fully managed | Jupyter-compatible | Jupyter, SQL | Visualize with code or UI | Realtime collaboration | Free and paid options | Proprietary |
| JupyterLab Compare with | Self-hosted | Jupyter-compatible | Jupyter | Visualize with code | File-based or asynchronous collaboration | Free | Open source |
| CoCalc Compare with | Self-hosted or fully managed | Jupyter-compatible | Jupyter | Visualize with code | Realtime collaboration | Free and paid options | Open source |
| Hyperquery Compare with | Fully managed | None | Python, SQL | Visualize with code or UI | Realtime collaboration | Free and paid options | Proprietary |
| Jetbrains Datalore Compare with | Fully managed | Jupyter-compatible | Jupyter | Visualize with code or UI | Realtime collaboration | Free and paid options | Proprietary |
| Kaggle Compare with | Fully managed | Jupyter-compatible | Jupyter | Visualize with code | Limited collaboration | Free | Proprietary |
| Nextjournal Compare with | Fully managed | Jupyter-compatible | Jupyter | Visualize with code | Realtime collaboration | Free and paid options | Proprietary |
| Noteable Compare with | Self-hosted or fully managed | Jupyter-compatible | Jupyter, SQL | Visualize with code or UI | Realtime collaboration | Free and paid options | Proprietary |
| nteract Compare with | Self-hosted | Jupyter-compatible | Jupyter | Visualize with code | File-based or asynchronous collaboration | Free | Open source |
| Observable Compare with | Fully managed | None | JS | Visualize with code | Realtime collaboration | Free and paid options | Proprietary |
| Query.me Compare with | Fully managed | None | SQL | Visualization UI builder | File-based or asynchronous collaboration | Free and paid options | Proprietary |
| Mode Notebooks Compare with | Fully managed | None | SQL, R, Python | Visualization UI builder | File-based or asynchronous collaboration | Unknown | Proprietary |
| Querybook Compare with | Self-hosted | None | Python | Visualization UI builder | Realtime collaboration | Free | Open source |
| Zeppelin Compare with | Self-hosted | None | Python, SQL, Spark | Unknown | File-based or asynchronous collaboration | Free | Open source |
| Count Compare with | Fully managed | None | SQL | Visualization UI builder | Realtime collaboration | Free and paid options | Proprietary |
| Husprey Compare with | Fully managed | None | SQL | Visualization UI builder | File-based or asynchronous collaboration | Free and paid options | Proprietary |
| Pluto.jl Compare with | Self-hosted | None | Julia | Unknown | File-based or asynchronous collaboration | Free | Open source |
| Polynote Compare with | Self-hosted | None | Scala, Python | Unknown | File-based or asynchronous collaboration | Free | Open source |
| Zepl Compare with | Fully managed | Unknown | Python, R | Unknown | Realtime collaboration | Unknown | Proprietary |
FAQs
Google Colab vs VS Code | Data Science Notebooks? ›
Colab notebooks allow you to combine executable code and rich text in a single document, along with images, HTML, LaTeX and more. Visual Studio Code is a lightweight but powerful source code editor. It supports working with Jupyter Notebooks natively, as well as through Python code files.
Is Google Colab enough for data science? ›Google Colab offers several benefits that make it a popular choice among data scientists, researchers, and machine learning practitioners.
Is Google Colab better than Jupyter Notebook? ›Therefore for Jupyter Notebook vs Google Colab we can conclude that Jupyter Notebooks are great for flexible, local work, and Google Colab is great for large-scale, group projects.
What is the disadvantage of Google Colab? ›Disadvantages: Limited runtime, dependency on internet connection. Advantages: Provides computational resources for running CNN training, avoids software configuration. Disadvantages: Potential challenges and risks in relying on Colab as an educational platform.
Is there something better than Google Colab? ›JupyterLab. JupyterLab builds on the success of Jupyter Notebooks by introducing a more dynamic and flexible user interface that supports a variety of workflows in data science, scientific computing, and machine learning.
Is Google Colab better than VS Code? ›Colab notebooks allow you to combine executable code and rich text in a single document, along with images, HTML, LaTeX and more. Visual Studio Code is a lightweight but powerful source code editor. It supports working with Jupyter Notebooks natively, as well as through Python code files.
Which is better kaggle notebook or Google Colab? ›Google Colab
It is easier to use as we can link it up with both google drive and github from where we can load data sets, files and images. We can also export our code directly to our github repo. While using tensor flow google colab offers TPUs instead of GPUs which are way more faster than any GPU in kaggle.
Colab is free, but has limitations. There are some code types that are forbidden, such as media serving and crypto mining. Available resources are also limited and vary depending on demand, though Google Colab offers a pro version with more reliable resourcing.
Is Google Colab sufficient for deep learning? ›Colab comes pre-installed with many popular libraries and tools for machine learning and deep learning, such as TensorFlow and PyTorch. This saves time and eliminates the need to manually install and configure these tools.
What are the limits of Google Colab notebook? ›Usage limits
| Usage limit | Value |
|---|---|
| File size per uploaded notebook | Approximately 20 MB Working with a notebook that is near the size limit can impact performance. |
Can Google Colab run forever? ›
Runtimes will time out if you are idle. In the version of Colab that is free of charge notebooks can run for at most 12 hours, depending on availability and your usage patterns. Colab Pro and Pay As You Go offer you increased compute availability based on your compute unit balance.
What is faster than Google Colab? ›Amazon SageMaker
Amazon SageMaker is a fully managed machine learning service. With SageMaker, data scientists and developers can quickly and easily build and train machine learning models, and then directly deploy them into a production-ready hosted environment. SageMaker is not free, but they offer a free trial.
Microsoft Azure Notebooks
Azure notebooks by Microsoft is very similar to Colab in terms of functionality. Both platforms have a cloud sharing functionality available for free. Azure Notebooks wins in terms of speed and is much better than Colab in this regard.
However, being a data scientist requires you to learn some of the best and most highly used programming languages, such as Java , C++ , R , Python, etc . Among these, Python has been considered the preferred choice among data scientists throughout the globe.
How to use Colab for data science? ›Data science
With Colab you can harness the full power of popular Python libraries to analyze and visualize data. The code cell below uses numpy to generate some random data, and uses matplotlib to visualize it. To edit the code, just click the cell and start editing.
By using Python, Google Colab, and core libraries like Pandas, NumPy, and Dask, users can successfully manage huge data sets with ease.