7 of the Best Alternatives to Google Colab For 2023 (With Free Compute!)
Google Colab is a great tool for new and experienced data scientists. Free cloud compute with some of your favorite tools sounds pretty great.
That said, Colab has had some drawbacks and if you found this article online, you may have experienced them. Whether it’s a sudden session restart and you lost your data, or you want to use Python packages that are not available in Colab, we’re here to help.
In this list, we went out to find the best alternatives to Colab. Some offer free tiers and enterprise plans, and others, just a free trial. Some offer strictly a hosted notebook in the cloud, while others feature a full suite of tools beyond the notebook.
Each listing will let you know if it’s free, if there’s an enterprise version, and what you get!
1. Saturn Cloud
Saturn Cloud is a data science platform for scalable Python, R, and Julia for teams and individuals. It offers free and enterprise tiers to meet the needs of new data scientists as well as experienced teams.
Without having to switch any tools, Saturn provides a flexible environment where data scientists can launch high-powered notebooks (Jupyter, RStudio, VS Code, and more) in the cloud, quickly use Dask clusters, GPUs, deploy cloud resources to expand their data science capabilities, collaborate throughout an entire project lifecycle, and more.
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.
Paperspace Gradient is an end-to-end machine learning platform where individuals and teams can build, train, and deploy Machine Learning models of any size and complexity.
Paperspace offers a free plan with limits to CPU and GPU machines. They also offer paid plans for greater access.
4. Azure ML
Azure Machine Learning (Azure ML) is a cloud-based service for creating and managing machine learning solutions. It’s designed to help data scientists and machine learning engineers leverage their existing data processing and model development skills & frameworks.
Azure ML is not free, but they offer a free trial.
Deepnote is a special-purpose notebook for collaboration. It is Jupyter-compatible.
Deepnote has a free tier with limits on features; they also offer an enterprise tier.
Noteable is a collaborative notebook platform and supports no-code visualization.
Notable offers a free tier and a enterprise tier.
CoCalc is a web-based cloud computing and course management platform for computational mathematics.
CoCalc is available with free and enterprise plans.
The data science platforms listed can provide a variety of resources, depending on your team’s needs. By comparing these different product offerings, we hope you found this comprehensive coverage of tools helpful to further your decision. If you’d like to contribute to this article, reach out to firstname.lastname@example.org