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Data science notebooks

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Deepnote

Deepnote is a new kind of data notebook that’s built for collaboration — Jupyter compatible, works magically in the cloud, and sharing is as easy as sending a link.
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Amazon Sagemaker

Amazon SageMaker helps data scientists and developers to prepare, build, train, and deploy high-quality machine learning (ML) models quickly by bringing together a broad set of capabilities purpose-built for ML.

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Jupyter

Project Jupyter exists to develop open-source software, open-standards, and services for interactive computing across dozens of programming languages. There's a number of vendors offering Jupyter notebooks as a managed service.
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Google Colab

Colab notebooks allow you to combine executable code and rich text in a single document, along with images, HTML, LaTeX and more.
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Hex

The Data Workspace for Teams. Work with data in collaborative SQL and Python notebooks. Share as interactive data apps that anyone can use.
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DataCamp Workspace

DataCamp Workspace is a cloud-based data science notebook to analyze data, collaborate with others, and share insights — no installation required.
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ChatGPT data analysis

ChatGPT is a versatile platform for data analysis, enabling data scientists and analysts to easily generate Python code and extract valuable insights. It excels in tasks such as exploratory data analysis and AI tooling, providing a robust foundation for complex data science projects.
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Jetbrains Datalore

A powerful online environment for Jupyter notebooks. Use smart coding assistance for Python in online Jupyter notebooks, run code on powerful CPUs and GPUs, collaborate in real-time, and easily share the results.
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Nextjournal

Runs anything you can put into a Docker container. Improve your workflow with polyglot notebooks, automatic versioning and real-time collaboration. Save time and money with on-demand provisioning, including GPU support.
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nteract

nteract is an open-source organization committed to creating fantastic interactive computing experiences that allow people to collaborate with ease.
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Observable

Make sense of the world with data, together. Explore, visualize, and analyze data. Collaborate with the community. Learn and be inspired. Share insights with the world.
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VS Code

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.
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Looker

Looker is a powerful BI tool that allows data analysts to create interactive dashboards, explore and analyze data from multiple sources with ease, and ensure robust data governance.
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Vertex AI

Vertex AI is Google Cloud's comprehensive machine learning platform that enables businesses to build, deploy, and scale AI models effortlessly.
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Zeppelin

Web-based notebook that enables data-driven, interactive data analytics and collaborative documents with SQL, Scala and more.
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Count

Count helps your data team work closer with the business so everyone is working on the problems that matter. Fast.
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Husprey

Husprey provides a SQL data workspace designed for Data Analytics teams. Collaborate, analyze and share within your data team and with Business teams.
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Pluto.jl

Writing a notebook is not just about writing the final document — Pluto empowers the experiments and discoveries that are essential to getting there.
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Polynote

Polynote is a different kind of notebook. It supports mixing multiple languages in one notebook, and sharing data between them seamlessly. It encourages reproducible notebooks with its immutable data model.
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