Best Data Science Notebooks in 2025

Project Jupyter exists to develop open-source software, open-standards, and services for interactive computing across dozens of programming languages. Ready to get started? Try it in your browser Install the Notebook.

Key Jupyter features:

Interactive Computing Rich Media Output Language Agnostic Collaborative Features

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Key ASocks features:

HTTP Socks5 ASN targeting Pay as you go

Try for free paid Free Trial $3.0 (3$ per 1 Gb)

Interactive code examples/posts.

Key Observable features:

Collaborative Environment Reactive Programming Built-in Data Visualization Libraries Notebook Interface

Open Source

Runcell is an AI agent for Jupyter notebooks that automates writing Python code, executing cells, debugging, and explaining data analysis results in real time. The AI Agent for data science works, automate python coding works in data engineer, etc.

Key Runcell features:

Code Agent in Jupyter Explain Code AI AI Data Analyst

freemium $20.0 / Monthly (500 credits for advanced models)

The AI-first Code Editor. Build software faster in an editor designed for pair-programming with AI.

Key Cursor features:

User-Friendly Interface Comprehensive Analytics Integration Capabilities Customizability

A collaboration platform for data scientists.

Key Deepnote features:

Collaborative Features Integration with Popular Tools User-Friendly Interface Cloud-Based

Algorithmia makes applications smarter, by building a community around algorithm development, where state of the art algorithms are always live and accessible to anyone.

Key Algorithmia features:

Wide Range of Algorithms Scalability Ease of Integration Supports Multiple Languages

Open Source

The portfolio and technical blog of Chris Henrick – provider of professional web development, data visualization, GIS, mapping, & cartography services.

Key Observable Notebooks features:

Interactivity Real-time Collaboration Dynamic Imports Reactive Data Flow

Neptune brings organization and collaboration to data science projects. All the experiement-related objects are backed-up and organized ready to be analyzed and shared with others. Works with all common technologies and integrates with other tools.

Key neptune.ai features:

Experiment Tracking Collaboration Features Integration Capability Interactive Dashboard

Open Source freemium

Transform hours of debugging into seconds with a single command. Experience coding at thought-speed with Claude's AI that understands your entire codebase—no more context switching, just breakthrough results.

Key Claude Code features:

Advanced Language Understanding Ethical AI Development Versatility Continuous Improvement

Enhances developer collaboration by providing codebase-aware chat, intuitive code suggestions, and advanced AI-driven explanations; accelerates coding tasks, assists in understanding unseen code structures, improving communication vastly within team….

Key Augment Code features:

Efficiency Improved Code Quality Learning Enhancement Integration

Open Source

The 5Analytics AI platform enables you to use artificial intelligence to automate important commercial decisions and implement digital business models.

Key 5Analytics features:

Real-time Analytics AI and Automation Scalability Integration

RunKit notebooks are interactive javascript playgrounds connected to a complete node environment right in your browser. Every npm module pre-installed.

Key RunKit features:

Ease of Use Immediate Feedback Installation-free Package Integration

Iterative removes friction from managing datasets and ML models and introduces seamless data scientists collaboration.

Key Iterative.ai features:

Version Control with DVC Integration with Existing Tools Scalability Open Source