GitHub topic

big-data GitHub repositories

Explore 10 tracked GitHub repositories tagged big-data. Compare their recorded star activity and implementation languages, then follow related topics to find other projects.

Snapshot: 2026-10-28. The collection gained 12 stars since the previous daily snapshot.

Tracked repositories: 10
Total stars: 66,899
Stars gained · 7 days: +78
Stars gained · 30 days: +268

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Star activity for big-data repositories on this page
Repository	Total stars	Today	7 days	30 days
catboost/catboost	9.2K	+4	+25	+60
feast-dev/feast	7.3K	+2	+11	+38
lakehq/sail	3.5K	+2	+10	+75
Eventual-Inc/Daft	5.8K	+2	+8	+31
h2oai/h2o-3	7.5K	+1	+4	+6

Explore repositories

Showing 1–10 of 10 tracked repositories.

catboost/catboost

A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.

★ 9.2K+4 todayC++

machine-learning python

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feast-dev/feast

The Open Source Feature Store for AI/ML

★ 7.3K+2 todayPython

machine-learning data-science

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lakehq/sail

Drop-in Apache Spark replacement written in Rust, unifying batch processing, stream processing, and compute-intensive AI workloads.

Eventual-Inc/Daft

High-performance data engine for AI and multimodal workloads. Process images, audio, video, and structured data at any scale

★ 5.8K+2 todayRust

machine-learning python

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h2oai/h2o-3

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.