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Collaborative Calculation and Data Science
Work together in real time on Jupyter Notebooks, code, and data science projects with powerful online tools, terminals, and collaborative features.
Collaborate on code and notebooks in real time
CoCalc is an all-in-one online platform where you can work on Jupyter Notebooks, code, and data science projects with others in real time. Whether you're coding in Python, using LaTeX for documents, or running Linux terminals, everything happens directly in your web browser—no installation needed.
You can invite collaborators, share your work, and access a wide range of integrated tools like VS Code, R IDE, and computational whiteboards. CoCalc is designed for students, teachers, researchers, and anyone who needs a robust, collaborative environment for programming and data analysis.
What makes CoCalc stand out is its focus on real-time teamwork and support for teaching, making it easy to run courses or group projects. With options for on-premises servers and plenty of support resources, it’s a flexible solution for both individuals and institutions.
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A restricted online lab environment for Hood College computer science and IT students to complete classwork and access course resources securely.
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Apache Livy lets you submit and manage Spark jobs from web or mobile apps, making it easy for multiple users to interact with Spark clusters at once.
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Jumping Rivers helps businesses turn data into insights with analytics, machine learning, training, and managed services for data-driven decision making.
Worldwide Cocalc.com Alternatives
Serverless Operations helps Japanese businesses use AWS for digital transformation, in-house development, AI, and data analysis. Site in Japanese.
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