Jupyter Notebook Big Data

Open-source Jupyter Notebook projects categorized as Big Data

Top 3 Jupyter Notebook Big Data Projects

  1. 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: H2O: Your New Best Friend for Scalable Machine Learning | dev.to | 2025-05-05

    View the Project on GitHub

  2. InfluxDB

    InfluxDB – Built for High-Performance Time Series Workloads. InfluxDB 3 OSS is now GA. Transform, enrich, and act on time series data directly in the database. Automate critical tasks and eliminate the need to move data externally. Download now.

    InfluxDB logo
  3. pyspark-tutorial

    PySpark-Tutorial provides basic algorithms using PySpark

  4. csv-schema-inference

    A tool to automatically infer columns data types in .csv files

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).

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Index

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

# Project Stars
1 H2O 7,158
2 pyspark-tutorial 1,219
3 csv-schema-inference 35

Sponsored
InfluxDB – Built for High-Performance Time Series Workloads
InfluxDB 3 OSS is now GA. Transform, enrich, and act on time series data directly in the database. Automate critical tasks and eliminate the need to move data externally. Download now.
www.influxdata.com

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