A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference applications.
⚡ Executive Summary & Quick Facts
Authoritative SourceDALI is DALI is an open-source project written in C++: A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference applications..
| Repository | NVIDIA/DALI ↗ |
|---|---|
| Primary Category | audio processing |
| Language & Stack | C++ |
| Software License | Apache-2.0 |
| Community Traction | ★ 5.8K stars · ⑂ 684 forks · #2,305 globally |
| Maintenance | ● Active (Last commit: Oct 23, 2026) · 224 open issues |
| Target Audience | Developers and engineering teams building with C++, seeking reliable, tested, and actively maintained tooling for production workloads. |
Star History
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+145
STARS · LAST 30 DAYS
5
PER DAY
#168
MOST-STARRED C++
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +35 | +145 | +450 |
| Per day | 5 | 5 | 5 |
| Forks gained | +3 | +14 | +34 |
DALI gained 145 stars in the last 30 days, about 5 a day, and now has 5.8K. It is about 8 years old and has averaged roughly 723 stars a year. It ranks #168 among C++ repositories and #2,305 across all languages on GitHubRepo.
Trending Record
6
DAYS ON TRENDING
#6310
BEST RANK
Oct 23, 2026
FIRST APPEARANCE
Active
STATUS TODAY
DALI has maintained a continuous presence across global trending indexes, peaking at #6310. Below is the 30-day activity profile:
💡 Overview
DALI is an open-source project written in C++: A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference applications.
Engineered for speed, consistency, and developer ease, it solves common hurdles in audio-processing, data-augmentation, data-processing. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.
⚡ Key Features
Optimized execution pipeline written in C++ for predictable speed.
Zero-friction configuration with comprehensive sensible defaults out of the box.
Cross-platform runtime support across Linux, macOS, and Windows environments.
Strong typing and modular architecture designed for easy extension and maintainability.
Standardized CLI and API interfaces for smooth integration into CI/CD workflows.
Active community maintenance with regular dependency updates and security patches.
📥 Installation
$ git clone https://github.com/NVIDIA/DALI.git
cd DALI⚙ 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
DALI 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 DALI 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
Install DALI using your package manager: `git clone https://github.com/NVIDIA/DALI.git`
Initialize your project workspace or configuration file for DALI.
Import DALI into your codebase or invoke it directly from your terminal.
Execute your test suite or run `DALI --help` to verify successful setup.
👍 Strengths
⚠️ Considerations
⇄ Alternatives & Direct Competitors
👥 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
NVIDIA/DALI is currently ranked #2,305 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #2,300 | SuiteCRM/SuiteCRM | PHP | ★ 5.8K | Compare ↗ |
| #2,301 | coze-dev/coze-loop | Go | ★ 5.8K | Compare ↗ |
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| #2,302 | Eventual-Inc/Daft | Rust | ★ 5.8K | Compare ↗ |
| #2,304 | dograh-hq/dograh | Python | ★ 5.8K | Compare ↗ |
| #2,305 | NVIDIA/DALI This Project | C++ | ★ 5.8K | |
| #2,306 | redis/lettuce | Java | ★ 5.8K | Compare ↗ |
| #2,307 | ciromattia/kcc | Python | ★ 5.8K | Compare ↗ |
| #2,308 | nuclio/nuclio | Go | ★ 5.8K | Compare ↗ |
| #2,309 | elie222/rakazo | TypeScript | ★ 5.8K | Compare ↗ |
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Frequently Asked Questions
What does DALI do? +
A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference applications.
What language is DALI written in? +
The primary language is C++. Topics include: audio-processing, data-augmentation, data-processing, deep-learning, fast-data-pipeline.
Is DALI actively maintained? +
Yes, the last recorded push was on Oct 23, 2026 with 224 open issues being tracked.
How many stars does DALI have? +
DALI has 5,783 stars and 684 forks on GitHub.
How does DALI rank among GitHub repositories? +
With 5,783 stars, NVIDIA/DALI is ranked #2,305 globally across all repositories tracked on GitHubRepo and #168 among C++ projects.
What license is DALI distributed under? +
The repository reports a Apache-2.0 license. Always verify the repository LICENSE file for legal terms.
