# openxla/xla > XLA (Accelerated Linear Algebra) is an open-source ML compiler for GPUs, CPUs, and ML accelerators. It takes models from PyTorch, TensorFlow, and JAX and optimizes them for high-performance execution across different hardware. - Magnitude: 1.0 out of 10 — Steady - Stars: 4,554 total · +0 stars today, ≈ 1 by evening - Star trust: star growth looks organic - Category: Language models · Language: C++ · License: Apache-2.0 · Created: 2022-08-09 · Last push: 2026-09-24 - GitHub: https://github.com/openxla/xla · Page: https://gitnova.dev/en/r/openxla/xla ## Useful for - Compile a JAX or TensorFlow model for accelerated execution on GPU - Add support for a new hardware backend to XLA for an ML accelerator - Debug an ML framework integration with XLA while developing the compiler ## Why it’s here - 0 stars so far today, about 1 expected by the end of the day. - GitHub Trending C++ today: #5, +5 stars. ## Star trust Star growth looks organic. Star-trust labels are heuristics based on the repository’s behavior, not a check of every stargazer. ## Numbers - Forks: 949 - Issues and pull requests: 49,321 - Watchers: 49 - Average over the last week: 2 per day - Usual pace: 2 per day - Stars in the last hour (measured): 0 ## Stars per day, last 30 days (oldest → newest, today is partial) 2026-08-26 … 2026-09-24: 2, 1, 7, 1, 2, 1, 4, 0, 3, 2, 1, 2, 1, 2, 0, 0, 2, 5, 1, 5, 0, 3, 2, 1, 0, 1, 1, 7, 5, 0 ## Spotted in now - GitHub Trending C++ today: #5, +5 stars ## Similar by description 1. **microsoft/onnxruntime** — 1.6 · Steady · Language models · C++ · +2 stars today, ≈ 6 by evening Cross-platform accelerator for ML inference and training. Runs models from PyTorch, TensorFlow, scikit-learn and others via the ONNX format with graph optimizations and hardware acceleration. Full card: https://gitnova.dev/en/r/microsoft/onnxruntime.md 2. **NVIDIA/TensorRT-LLM** — 1.6 · Steady · Language models · Python · +3 stars today, ≈ 6 by evening NVIDIA library for optimizing inference of large language models and visual generative models on GPUs, with a Python API, specialized kernels, and an efficient C++/Python runtime. Full card: https://gitnova.dev/en/r/NVIDIA/TensorRT-LLM.md 3. **NVIDIA/cutlass** — 1.8 · Steady · Language models · C++ · +0 stars today, ≈ 3 by evening CUTLASS is a collection of CUDA C++ templates and Python DSLs (CuTe DSL) for implementing high-performance linear algebra, primarily GEMM, on NVIDIA GPUs. It targets researchers and performance engineers writing optimized Tensor Core… Full card: https://gitnova.dev/en/r/NVIDIA/cutlass.md 4. **openvinotoolkit/openvino** — 1.6 · Steady · Language models · C++ · +1 star today, ≈ 3 by evening OpenVINO is an open-source toolkit for optimizing and deploying deep learning model inference on Intel CPU, GPU and NPU. It supports models from PyTorch, TensorFlow, ONNX, Keras, PaddlePaddle, JAX/Flax and Hugging Face with C++, Python, C… Full card: https://gitnova.dev/en/r/openvinotoolkit/openvino.md 5. **deepseek-ai/DeepJIT** — 1.1 · Steady · Developer tools · C++ · +0 stars today, ≈ 1 by evening Header-only C++20 JIT runtime for compiling and launching kernels on NVIDIA CUDA GPUs and Huawei Ascend NPUs, with a shared interface, binary caching, and PyTorch integration. Full card: https://gitnova.dev/en/r/deepseek-ai/DeepJIT.md --- Magnitude (0–10) measures how fast and how unusually interest in a repository is growing right now. It is not a quality score. Days are UTC. “So far today” is a fact; “expected by the end of the day” is a forecast. Summaries and use cases are written by an LLM (DeepSeek V4.1 Flash) from the README and may be inaccurate: verify specific claims (benchmarks, speed, hardware) in the repository itself. Data as of 2026-09-24 13:15 UTC, updated every 30 minutes.