Topics / #graalvm

Graalvm projects on GitHub

Ahead-of-time native compilation for Java workloads.

As of , the most-starred Graalvm projects on GitHub are okhttp (47.1K stars), graal (21.7K stars) and truffleruby (3.2K stars). GitHub.Locker tracks 5 Graalvm repositories with 73.8K stars combined. The fastest-growing on October 21 was okhttp, with +2 stars in a day.

5Projects
73.8KStars in total
+3Stars in a day
Browse in the catalog →github.com/topics/graalvm ↗

Hot right now

Most stars gained in a day · Oct 21

+2

okhttp

lysine-dev/okhttp · ★ 47.1K

OkHttp is an efficient HTTP client for the JVM, Android, and GraalVM, handling HTTP/1.1, HTTP/2, websockets, and SSE with connection pooling and transparent GZIP.

+1

TornadoVM

beehive-lab/TornadoVM · ★ 1.5K

An open-source GPU programming framework for Java: it JIT-compiles Java bytecode at runtime into NVIDIA CUDA, OpenCL C or Apple Metal code, so Java programs run on GPUs and multi-core CPUs. Works with JDK 21-27.

The all-time top

5 projects · by stars

  1. #1 · lysine-dev/okhttp

    okhttp

    OkHttp is an efficient HTTP client for the JVM, Android, and GraalVM, handling HTTP/1.1, HTTP/2, websockets, and SSE with connection pooling and transparent GZIP.

    47.1K
  2. #2 · oracle/graal

    graal

    GraalVM is a high-performance JDK whose headline trick is ahead-of-time compilation: it turns applications into standalone native executables that start instantly, need no warmup and use fewer resources.

    21.7K
  3. #3 · truffleruby/truffleruby

    truffleruby

    A high performance implementation of the Ruby programming language, built on GraalVM.

    3.2K
  1. 4

    TornadoVM

    1.5Kbeehive-lab/TornadoVM · Java

    An open-source GPU programming framework for Java: it JIT-compiles Java bytecode at runtime into NVIDIA CUDA, OpenCL C or Apple Metal code, so Java programs run on GPUs and multi-core CPUs. Works with JDK 21-27.

  2. 5

    qxotic

    177qxoticai/qxotic · Java

    Qxotic is an open-source AI stack built specifically for the JVM, giving Java applications local AI inference — chat, vision, audio, embeddings, reranking and text-to-speech — without needing Python or ONNX.

Often tagged together