Jupyter Notebook Big Data

Open-source Jupyter Notebook projects categorized as Big Data

Top 3 Jupyter Notebook Big Data Projects

  • H2O

    H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.

    Project mention: Top 10+ OpenAI Alternatives | dev.to | 2023-02-13

    H2O.ai

  • cortx

    CORTX Community Object Storage is 100% open source object storage uniquely optimized for mass capacity storage devices.

  • SonarQube

    Static code analysis for 29 languages.. Your projects are multi-language. So is SonarQube analysis. Find Bugs, Vulnerabilities, Security Hotspots, and Code Smells so you can release quality code every time. Get started analyzing your projects today for free.

  • 100DaysofMLCode

    My journey to learn and grow in the domain of Machine Learning and Artificial Intelligence by performing the #100DaysofMLCode Challenge. Now supported by bright developers adding their learnings :+1:

NOTE: The open source projects on this list are ordered by number of github stars. The number of mentions indicates repo mentiontions in the last 12 Months or since we started tracking (Dec 2020). The latest post mention was on 2023-02-13.

Jupyter Notebook Big Data related posts

Index

What are some of the best open-source Big Data projects in Jupyter Notebook? This list will help you:

Project Stars
1 H2O 6,190
2 cortx 618
3 100DaysofMLCode 288
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