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: Really struggling with open source models | /r/LocalLLaMA | 2023-07-12

    I would use H20 if I were you. You can try out LLMs with a nice GUI. Unless you have some familiarity with the tools needed to run these projects, it can be frustrating. https://h2o.ai/

  • csv-schema-inference

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

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

    InfluxDB logo
  • SDE

    Scalytics Connect development environment, pre-build (by scalytics)

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 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 6,730
2 csv-schema-inference 31
3 SDE 22

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