Awesome List

Awesome Bigdata

A curated list of awesome big data frameworks, ressources and other awesomeness.

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211
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183
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592
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2,586
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9

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6 repos matching these filters.

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tensorflow/tensorflow

An Open Source Machine Learning Framework for Everyone

AI dev
Updated
2026-07-16
Lists
5 list mentions
First commit
2015-11-07
License
Apache-2.0
Issues
2,709 open
Forks
75,564
Commits
196,302 commits
Star growth, last 7 days
0 0.0%
Commit velocity, last 7 days
0 0.0%
milvus-io/milvus

Milvus is a high-performance, cloud-native vector database built for scalable vector ANN search

AI dev
Updated
2026-07-17
Lists
7 list mentions
First commit
2019-03-18
License
Apache-2.0
Issues
1,101 open
Forks
4,123
Commits
25,109 commits
Star growth, last 7 days
+71 +0.2%
Commit velocity, last 7 days
+48 +0.2%
ray-project/ray

Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

AI dev
Updated
2026-07-16
Lists
4 list mentions
First commit
2016-02-07
License
Apache-2.0
Issues
3,449 open
Forks
7,796
Commits
31,066 commits
Star growth, last 7 days
0 0.0%
Commit velocity, last 7 days
0 0.0%
taosdata/TDengine

High-performance, scalable time-series database designed for Industrial IoT (IIoT) scenarios

Updated
2026-07-06
Lists
2 list mentions
First commit
2019-07-11
License
AGPL-3.0
Issues
428 open
Forks
5,011
Commits
85,319 commits
Star growth, last 7 days
No 7-day history
Commit velocity, last 7 days
No 7-day history
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.

AI dev
Updated
2026-07-12
Lists
3 list mentions
First commit
2014-03-03
License
Apache-2.0
Issues
2,879 open
Forks
2,030
Commits
32,791 commits
Star growth, last 7 days
0 0.0%
Commit velocity, last 7 days
0 0.0%