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10 Google Colab Alternatives In 2022

google colab alternatives

This post will explain google colab alternatives. Colaboratory, sometimes known as “Colab,” is essentially a Google Research product. It enables users to create and execute any Python code over the web. In terms of technology, Google Colab is a hosted Jupyter notebook benefit that gives users unlimited access to computer resources, including GPUs, without the need for any specific setup. Machine learning, data analysis, and teaching are three industries where Google Colab alternatives shine.

10 Google Colab Alternatives In 2022

In this article, you can know about google colab alternatives here are the details below;

One may compare Google Colab to a better Jupyter Notebook replacement. There are numerous top Google Colab alternatives available right now that provide you with greater compute availability based on the quantity of your leftover compute units. Machine learning engineers can benefit from Google Colab alternatives in a number of ways, including faster GPUs, better extended sessions, less interruptions, terminal access, and more RAM. The post that outlines the top Google Colab alternatives for 2023 is available here for machine learning engineers.

SageMaker on Amazon

Amazon SageMaker, a different cloud-based machine learning platform, was created by the company in November 2017. It provides hosted Jupyter notebooks that don’t require any setup. SageMaker’s MXNet, Chainer, and SparkML are additions to the Deep Learning frameworks offered by Google Colab, such as Tensorflow, Scikit-Learn, PyTorch, and XGBoost. Preprocessing, Amazon SageMaker Experiments, Amazon SageMaker Ground Truth, and Amazon SageMaker Studio Notebooks are additional features. Although there is a free trial version, the full version costs money. This is another google colab alternatives. Also check brain fm alternatives.


CoCalc, or Collaborative Calculation, is a web-based cloud computing (SaaS) and course administration tool for computational mathematics. SageMath Inc. provides this open-source tool, which enables editing of LaTeX files, Sage spreadsheets, and the Jupyter notebook in addition to other formats. William Stein, a retired mathematics professor at the University of Washington, is the creator and main developer of CoCalc.

Python Notebook

Users can create and share documents that feature live code, images, equations, and text using the free online application Jupyter Notebook. The crew of Project Jupyter updates the Jupyter Notebook. They are independent projects that sprang out of the IPython project. Julia, Python, and R are all supported. They are most frequently employed in computational physics and data analysis. Like Google Colab, Jupyter notebooks put more of an emphasis on making work repeatable and clear. There are several visualisations offered, all of which are rendered instantly in the notebook. Insert and Escape are the names of the two accessible modes. This is another google colab alternatives.


One of the top IDEs with a browser interface to take the role of Google Colab is Replit. It serves as an editor, compiler, interpreter, and REPL in addition to being an accessible but effective online IDE. With Replit, you can programme in more than 50 different programming languages and have them build, execute, and host. In your browser, you may always run and save code. Replit can be used on Chromebooks and other devices having web browsers.

Azure Notebook

Functionally, Colab and Microsoft’s Azure laptops are very similar. Both platforms offer a free cloud-sharing capability. In terms of speed, Azure Notebooks wins and exceeds Colab by a wide margin. 4 gigabytes of RAM are provided. Libraries are the names given to the connected notebooks produced by Azure Notebooks. Each data file in these libraries is under 100 megabytes in size. Python, R, and F# are some of the programming languages supported by Azure Notebooks. It includes the Jupyter UI by default. Simple applications work well with Azure Notebooks. Also check PRTG Alternatives

Kaggle Kernel

Kaggle is well recognised for its data science competitions, in addition to providing free Kernels or Notebooks for carrying out machine learning independently and without consideration of competitions. Users can utilise the free Kaggle Kernels platform to run Jupyter notebooks in web browsers. Colab and Kaggle are both Google products, and they share a lot of characteristics. This is another google colab alternatives.


BinderHub, an open-source application, has set up the Binder service on the cloud. You may create unique computing environments using Binder that remote users can access and share. You can input the URL of any publicly accessible Git repository and the Jupyter Notebook interface will launch. You can use any notebook in the repository, but any modifications you make won’t be saved back to the warehouse.

IBM DataPlatform Notebooks

In 2016, IBM launched the Watson Data Platform & Data Science Experience (DSX), both of which helped open-source alternatives. Among the choices were Jupyter notebooks, R, Python, Scala, and Apache Spark. The platform that enables multi-cloud freedom of option for data science work was eventually made available. This was accomplished via product containerization based on Kubernetes. Anywhere that data is kept in CloudFoundry or Docker containers can have it deployed. In contrast to Google Colab, IBM DataPlatform Notebooks provide containerization for multi-cloud or hybrid deployment. For data science, Colab’s private cloud is necessary.


A web-based IDE and code editor called CodeSandbox is used for quick web development. Web apps may be swiftly created and shared thanks to CodeSandbox, an online code editor and prototype tool. Supported frameworks include traditional typescript or javascript, Angular, React, and Vue. This is another google colab alternatives.


The online code editor for the web application is called StackBlitz. Visual Studio Code is the source of its power. StackBlitz deserves exclusive credit for enabling the cutting-edge editing features from VS Code in the browser. You can keep editing even if your internet connection drops because to StackBlitz’s usage of Progressive Web App APIs, which keeps a live development server running in-browser.

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