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Data Science IDEs and Notebook Environments

A directory of notebook environments and IDEs for data science — open-source notebooks, hosted and collaborative workspaces, and editors with notebook support.

22 topics•5 categories•Updated November 2026

Open-source Notebooks

3 entries

Self-hostable notebook environments.

01JupyterLabA web-based interactive development environment for Jupyter notebooks, code, and data — the open-source standard for scientific computing and data science. 02Apache ZeppelinA web-based notebook enabling data-driven, interactive analytics and collaborative documents with SQL, Scala, Python, R, and more — backed by Apache. 03marimoOpen-source reactive Python notebook that stores notebooks as plain Python files.

Hosted & Free Notebook Services

3 entries

Run notebooks in the cloud, often with free compute.

04Google ColabA free, cloud-based Jupyter Notebook environment from Google — no setup required, with access to GPUs and TPUs for machine learning experiments. 05Kaggle NotebooksA no-setup, customizable Jupyter Notebook environment with free GPU access and a vast repository of community-published datasets and code. 06Gradient NotebooksA web-based Jupyter IDE from Paperspace with free GPUs and IPUs — designed for deep learning model training and data science experimentation.

Collaborative Data Workspaces

5 entries

Shared notebooks and analytics canvases for teams.

07DeepnoteA collaborative notebook platform offering a better way for data teams to work together — with real-time collaboration, version control, and scheduled runs. 08HexStreamlines the entire analytics workflow — from ad-hoc analyses and SQL queries to beautiful dashboards and complex data apps — in one unified platform. 09DataloreJetBrains' collaborative data science platform featuring smart coding assistance, real-time collaboration, and automated report scheduling. 10NextjournalRuns anything you can put in a Docker container — supporting polyglot notebooks, automatic versioning, and real-time collaboration for reproducible research. 11CountA real-time, collaborative data canvas — explore data spatially, break down and refactor data models, and share live insights directly with stakeholders.

Editors & IDEs with Notebook Support

2 entries

Full IDEs that open and run notebooks.

12VS Code NotebooksVS Code combines with the Jupyter extension and additional language extensions to deliver a full-featured, extensible notebook IDE for data science. 13Posit (RStudio)Home of RStudio and tools for R and Python data science.

Notebook Environments

2 entries

Open notebook environments.

14JupyterLabNotebook IDE. 15marimoReactive Python notebooks.

Related Pages

7 entries

Related directories on this site.

16Data ScienceData science hub. 17Data Science PlatformsEnd-to-end data science platforms. 18Data Wrangling ToolsData preparation tools. 19Data Sets for ML/DLDatasets for training and benchmarking. 20Websites to Learn Data ScienceLearning websites. 21Machine LearningMachine learning hub. 22Artificial IntelligenceHub of AI platforms, models, frameworks, governance and learning resources.

Frequently Asked Questions

What is a data science IDE?

It is an environment for exploring data and building models, usually centred on notebooks that mix code, results and narrative, sometimes inside a full IDE.

Jupyter, Colab or VS Code?

Jupyter is the open-source standard, Colab and Kaggle give free hosted compute, and VS Code adds notebooks to a general-purpose editor.

What is a reactive notebook?

A notebook such as marimo re-runs dependent cells automatically when a value changes, which avoids stale state.

Can teams collaborate in notebooks?

Yes. Deepnote, Hex and Datalore provide shared, real-time workspaces with scheduling and sharing.

Which additional references does this page add?

The section 'Notebook Environments' lists JupyterLab, marimo.

Why was Noteable removed?

Its site no longer responds, so it was dropped from the list.