Software Alternatives, Accelerators & Startups

Top 9 Data Science Notebooks in Python Tools

The best Data Science Notebooks within the Python Tools category - based on our collection of reviews & verified products.

Runcell Claude Code Augment Code Kiro BeakerX Numericcal MLPerf SigOpt

Summary

The top products on this list are Runcell, Claude Code, and Augment Code. All products here are categorized as: Data Science Notebooks. Python Tools. One of the criteria for ordering this list is the number of mentions that products have on reliable external sources. You can suggest additional sources through the form here.
  1. 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
    Pricing:
    • Freemium
    • Free Trial
    • $20.0 / Monthly (500 credits for advanced models)

    #Data Visualization #AI #Data Science Notebooks

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

    #AI #Developer Tools #Coding

  3. 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 teamโ€ฆ
    Pricing:
    • Open Source

    #AI #Developer Tools #Coding 3 social mentions

  4. 4
    The AI IDE for prototype to production

    #AI #Developer Tools #Coding 15 social mentions

  5. Open Source Polyglot Data Science Tool
    Pricing:
    • Open Source

    #Data Science And Machine Learning #Python IDE #Data Science Notebooks 2 social mentions

  6. GraphLab Create is an extensible machine learning framework that enables developers and data scientists to easily build and deploy apps.

    #Data Science And Machine Learning #Data Science Tools #Software Libraries

  7. Machine Learning Operationalization

    #Data Science And Machine Learning #Machine Learning #Data Science Notebooks

  8. 8
    Fair and useful benchmarks for measuring training and inference performance of ML hardware, software, and services.

    #Data Science And Machine Learning #Machine Learning #Data Science Notebooks

  9. 9
    Optimize Everything. Tune your experiments automatically to get better results, faster. A/B testing.

    #Data Science And Machine Learning #Data Science Tools #Software Libraries

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