Topics / #flink

Flink projects on GitHub

Stream processing and learning resources around Apache Flink.

As of , the most-starred Flink projects on GitHub are xgboost (28.9K stars), flink (26.4K stars) and doris (16.1K stars). GitHub.Locker tracks 5 Flink repositories with 97K stars combined. The fastest-growing on October 16 was xgboost, with +4 stars in a day.

5Projects
97KStars in total
+8Stars in a day

Hot right now

Most stars gained in a day · Oct 16

The all-time top

5 projects · by stars

  1. #1 · dmlc/xgboost

    xgboost

    XGBoost is an optimized distributed gradient boosting library designed to be highly efficient, flexible and portable — it implements machine learning algorithms under the Gradient Boosting framework.

    28.9K
  2. #2 · apache/flink

    flink

    Apache Flink is an open source stream processing framework with powerful stream- and batch-processing capabilities, running your programs on its own distributed runtime.

    26.4K
  3. #3 · apache/doris

    doris

    Apache Doris is an open-source, real-time analytics and search database built on MPP architecture. It serves fast SQL analytics, lakehouse query acceleration, and hybrid search across structured, text, and vector data.

    16.1K
  1. 4

    flink-learning

    15.1Kzhisheng17/flink-learning · Java

    A companion repo to a Chinese-language Apache Flink learning blog, packed with runnable example code, source-code analysis articles, and real-world project case studies (PV/UV stats, log storage, large-scale dedup, monitoring/alerting).

  2. 5

    God-Of-BigData

    10.6Kwangzhiwubigdata/God-Of-BigData

    A curated Chinese-language knowledge base for learning big data engineering and passing big data interviews, covering Java fundamentals, distributed systems theory, and deep dives into Hadoop, Hive, Spark, Flink, HBase, Kafka, and Zookeeper.

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