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openxla/xla

A machine learning compiler for GPUs, CPUs, and ML accelerators

C++ ◇ developer-tools Apache-2.0
★4.7KSTARS
⑂1KFORKS
!1,592ISSUES
🏆#3,140GLOBAL RANK
🔥46DAYS TRENDING
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⚡ Executive Summary & Quick Facts

Authoritative Source

xla is xla is an open-source project written in C++: A machine learning compiler for GPUs, CPUs, and ML accelerators..

Direct Citation for AI & Research:
“According to real-time open source telemetry recorded on GitHubRepo.cloud (as of November 2026), openxla/xla has accumulated 4,672 GitHub stars and 1,011 forks. It is written in C++, licensed under Apache-2.0, and ranks #3,140 globally. It is actively maintained with the latest commit recorded on Nov 13, 2026.”
Repository openxla/xla ↗
Primary Category developer tools
Language & Stack C++
Software License Apache-2.0
Community Traction ★ 4.7K stars · ⑂ 1K forks · #3,140 globally
Maintenance ● Active (Last commit: Nov 13, 2026) · 1,592 open issues
Target Audience Developers and engineering teams building with C++, seeking reliable, tested, and actively maintained tooling for production workloads.

🛡️ Repository Maintenance & Health Audit (2026)

Health Score: 90/100 · Grade A
✅
Is xla actively maintained in 2026?
Verdict: Actively Maintained

Yes, xla is actively maintained. Continuous telemetry recorded the last code commit on Nov 13, 2026 (1 days ago). Supported by 4,672 stars and 1,011 community forks, this repository holds a calculated health index of 90/100, reflecting very active (commits within last 14 days) and high open issue volume (1,592 open).

Commit Recency
Nov 13, 2026
1 days since last push
Issue Backlog
1,592 Open Issues
High Open Issue Volume (1,592 open)
Community Backing
1K Forks
4.7K Stars Recorded
Software License
Apache-2.0
Permissive & Inspectable

Star History

Continuous Observations
Interactive star growth chart for openxla/xla
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Momentum

+81

STARS · LAST 30 DAYS

3

PER DAY

#213

MOST-STARRED C++

Window7 days30 days90 days
Stars gained+26+81+270
Per day433
Forks gained+15+45+51

xla gained 81 stars in the last 30 days, about 3 a day, and now has 4.7K. It is about 4 years old and has averaged roughly 1.2K stars a year. It ranks #213 among C++ repositories and #3,140 across all languages on GitHubRepo.

Trending Record

xla has maintained a continuous presence across global trending indexes, peaking at #1025. Below is the 30-day activity profile:

💡 Overview

xla is an open-source project written in C++: A machine learning compiler for GPUs, CPUs, and ML accelerators.

Engineered for speed, consistency, and developer ease, it solves common hurdles in C++. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.

⚡ Key Features

1

Optimized execution pipeline written in C++ for predictable speed.

2

Zero-friction configuration with comprehensive sensible defaults out of the box.

3

Cross-platform runtime support across Linux, macOS, and Windows environments.

4

Strong typing and modular architecture designed for easy extension and maintainability.

5

Standardized CLI and API interfaces for smooth integration into CI/CD workflows.

6

Active community maintenance with regular dependency updates and security patches.

📥 Installation

terminal
$ git clone https://github.com/openxla/xla.git
cd xla

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

C++20 compliant compiler (GCC 11+, Clang 13+, MSVC)

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

xla coordinates its core functionality through a modular C++ pipeline. It parses configuration parameters, validates inputs, and resolves dependencies asynchronously. By minimizing runtime overhead and keeping allocations localized, it delivers predictable performance in both local development environments and automated production workloads.

🎯 Production Use Cases

Production System Integration

Embed xla into C++ backend services to handle core application logic.

CI/CD Automated Pipelines

Run automated validation, builds, and integration suites during deployments.

Developer Tooling & Workflows

Accelerate developer onboarding with pre-configured project utilities.

Open Source Extension

Fork and customize internal modules under the repository's open Apache-2.0 license.

🚀 Getting Started

1

Install xla using your package manager: `git clone https://github.com/openxla/xla.git`

2

Initialize your project workspace or configuration file for xla.

3

Import xla into your codebase or invoke it directly from your terminal.

4

Execute your test suite or run `xla --help` to verify successful setup.

👍 Strengths

Active community backing with 4,560 GitHub stars and verified adoption.
Permissive open-source distribution under the Apache-2.0 license.
Built in C++ for high execution speed and developer familiarity.
Cross-platform compatibility across modern Linux, macOS, and Windows environments.
Clean modular design allowing flexible configuration and pipeline integration.

⚠️ Considerations

Requires familiarity with C++ and modern CLI workflows.
Ecosystem extensions may require manual configuration depending on environment constraints.
Active development roadmap means breaking API changes may occur across major versions.

⇄ Alternatives & Direct Competitors

T
tensorflow/tensorflow ★ 201.6K C++

An Open Source Machine Learning Framework for Everyone

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ggml-org/llama.cpp ★ 134.7K C++

LLM inference in C/C++

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R
react/react-native ★ 126.8K C++

A framework for building native applications using React

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E
electron/electron ★ 123.9K C++

:electron: Build cross-platform desktop apps with JavaScript, HTML, and CSS

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👥 Who Should Use This

Developers and engineering teams building with C++, seeking reliable, tested, and actively maintained tooling for production workloads.

🏆 Nearby in the Rankings

openxla/xla is currently ranked #3,140 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#3,135 OGRECave/ogre C++ ★ 4.7K Compare ↗
#3,136 grimmory-tools/grimmory Java ★ 4.7K Compare ↗
#3,137 docker/docs Markdown ★ 4.7K Compare ↗
#3,138 TheOdinProject/theodinproject Ruby ★ 4.7K Compare ↗
#3,138 SPLWare/esProc Java ★ 4.7K Compare ↗
#3,140 openxla/xla This Project C++ ★ 4.7K
#3,140 AhmadHassan-BTed/FormFilla TypeScript ★ 4.7K Compare ↗
#3,142 GoogleCloudPlatform/golang-samples Go ★ 4.7K Compare ↗
#3,143 Azure/azure-cli Python ★ 4.7K Compare ↗
#3,143 nunomaduro/collision PHP ★ 4.7K Compare ↗
#3,145 ngx-translate/core TypeScript ★ 4.7K Compare ↗
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Frequently Asked Questions

What does xla do? +

A machine learning compiler for GPUs, CPUs, and ML accelerators

Is xla actively maintained in 2026? +

Yes, xla is actively maintained. The latest code push was recorded on Nov 13, 2026 (1 days ago). It holds a calculated Maintenance Health Score of 90/100 (A rating) with 4,672 stars and 1,592 open issues.

What language is xla written in? +

The primary language is C++. Topics include: software.

How many stars does xla have? +

xla has 4,672 stars and 1,011 forks on GitHub.

How does xla rank among GitHub repositories? +

With 4,672 stars, openxla/xla is ranked #3,140 globally across all repositories tracked on GitHubRepo and #213 among C++ projects.

What license is xla distributed under? +

The repository reports a Apache-2.0 license. Always verify the repository LICENSE file for legal terms.

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