Jupyter Notebook Big Data

Open-source Jupyter Notebook projects categorized as Big Data

Top 4 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.

  2. SaaSHub

    SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives

    SaaSHub logo
  3. pyspark-tutorial

    PySpark-Tutorial provides basic algorithms using PySpark

  4. covid19-sir

    CovsirPhy: Python library for COVID-19 analysis with phase-dependent SIR-derived ODE models.

  5. 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).

Jupyter Notebook Big Data discussion

Log in or Post with

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 7,498
2 pyspark-tutorial 1,277
3 covid19-sir 112
4 csv-schema-inference 37

Sponsored
SaaSHub - Software Alternatives and Reviews
SaaSHub helps you find the best software and product alternatives
www.saashub.com

Did you know that Jupyter Notebook is
the 15th most popular programming language
based on number of references?