fastmachinelearning/hls4ml
Machine learning on FPGAs using HLS
⚡ Executive Summary & Quick Facts
Authoritative Sourcehls4ml is hls4ml is an open-source project written in Python: Machine learning on FPGAs using HLS..
“According to real-time open source telemetry recorded on GitHubRepo.cloud (as of November 2026), fastmachinelearning/hls4ml has accumulated 2,194 GitHub stars and 612 forks. It is written in Python, licensed under Apache-2.0, and ranks #5,263 globally. It is actively maintained with the latest commit recorded on Oct 26, 2026.”
| Repository | fastmachinelearning/hls4ml ↗ |
|---|---|
| Primary Category | fpga |
| Language & Stack | Python |
| Software License | Apache-2.0 |
| Community Traction | ★ 2.2K stars · ⑂ 612 forks · #5,263 globally |
| Maintenance | ● Active (Last commit: Oct 26, 2026) · 81 open issues |
| Target Audience | Developers and engineering teams building with Python, seeking reliable, tested, and actively maintained tooling for production workloads. |
🛡️ Repository Maintenance & Health Audit (2026)
Health Score: 92/100 · Grade AYes, hls4ml is actively maintained. Continuous telemetry recorded the last code commit on Oct 26, 2026 (17 days ago). Supported by 2,194 stars and 612 community forks, this repository holds a calculated health index of 92/100, reflecting regular maintenance (17 days ago) and healthy issue cadence.
Star History
Add Live Star History & Verified Badges to README.md
Keep your repository README looking professional and dynamic. As our continuous crawler records new stars, these official SVG badges update in real time with zero maintenance.
Renders your high-resolution star trajectory chart right inside your GitHub README or project docs.
[](https://githubrepo.cloud/repo/fastmachinelearning/hls4ml?utm_source=readme_chart)Compact badges for your README header. Real-time stars, velocity, health audit, and rank.
[](https://githubrepo.cloud/repo/fastmachinelearning/hls4ml?utm_source=readme_badge) [](https://githubrepo.cloud/repo/fastmachinelearning/hls4ml?utm_source=readme_badge) [](https://githubrepo.cloud/repo/fastmachinelearning/hls4ml?utm_source=readme_badge) [](https://githubrepo.cloud/repo/fastmachinelearning/hls4ml?utm_source=readme_badge) [](https://githubrepo.cloud/repo/fastmachinelearning/hls4ml?utm_source=readme_badge)Momentum
+22
STARS · LAST 30 DAYS
1
PER DAY
#766
MOST-STARRED Python
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +0 | +22 | +90 |
| Per day | 1 | 1 | 1 |
| Forks gained | +0 | +6 | +31 |
hls4ml gained 22 stars in the last 30 days, about 1 a day, and now has 2.2K. It is about 9 years old and has averaged roughly 244 stars a year. It ranks #766 among Python repositories and #5,263 across all languages on GitHubRepo.
Trending Record
45
DAYS ON TRENDING
#434
BEST RANK
Sep 23, 2026
FIRST APPEARANCE
Active
STATUS TODAY
hls4ml has maintained a continuous presence across global trending indexes, peaking at #434. Below is the 30-day activity profile:
💡 Overview
hls4ml is an open-source project written in Python: Machine learning on FPGAs using HLS.
Engineered for speed, consistency, and developer ease, it solves common hurdles in fpga, hls, intel-hls. 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 Python 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
$ pip install hls4ml⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
Python >= 3.9, pip, virtualenv
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
hls4ml coordinates its core functionality through a modular Python 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 hls4ml into Python 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 hls4ml using your package manager: `pip install hls4ml`
Initialize your project workspace or configuration file for hls4ml.
Import hls4ml into your codebase or invoke it directly from your terminal.
Execute your test suite or run `hls4ml --help` to verify successful setup.
👍 Strengths
⚠️ Considerations
⇄ Alternatives & Direct Competitors
👥 Who Should Use This
Developers and engineering teams building with Python, seeking reliable, tested, and actively maintained tooling for production workloads.
🏆 Nearby in the Rankings
fastmachinelearning/hls4ml is currently ranked #5,263 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #5,256 | autonomousapps/dependency-analysis-gradle-plugin | Kotlin | ★ 2.2K | Compare ↗ |
| #5,256 | a16z/helios | Rust | ★ 2.2K | Compare ↗ |
| #5,260 | xremap/xremap | Rust | ★ 2.2K | Compare ↗ |
| #5,260 | openclaw/openclaw-windows-node | C# | ★ 2.2K | Compare ↗ |
| #5,260 | 0-AI-UG/cate | TypeScript | ★ 2.2K | Compare ↗ |
| #5,263 | fastmachinelearning/hls4ml This Project | Python | ★ 2.2K | |
| #5,263 | pact-foundation/pact-ruby | Ruby | ★ 2.2K | Compare ↗ |
| #5,263 | JetBrains/skiko | Kotlin | ★ 2.2K | Compare ↗ |
| #5,266 | CaffeineMC/lithium | Java | ★ 2.2K | Compare ↗ |
| #5,266 | Zxilly/go-size-analyzer | Go | ★ 2.2K | Compare ↗ |
| #5,268 | rust-rocksdb/rust-rocksdb | Rust | ★ 2.2K | Compare ↗ |
Frequently Asked Questions
What does hls4ml do? +
Machine learning on FPGAs using HLS
Is hls4ml actively maintained in 2026? +
Yes, hls4ml is actively maintained. The latest code push was recorded on Oct 26, 2026 (17 days ago). It holds a calculated Maintenance Health Score of 92/100 (A rating) with 2,194 stars and 81 open issues.
What language is hls4ml written in? +
The primary language is Python. Topics include: fpga, hls, intel-hls, keras, machine-learning.
How many stars does hls4ml have? +
hls4ml has 2,194 stars and 612 forks on GitHub.
How does hls4ml rank among GitHub repositories? +
With 2,194 stars, fastmachinelearning/hls4ml is ranked #5,263 globally across all repositories tracked on GitHubRepo and #766 among Python projects.
What license is hls4ml distributed under? +
The repository reports a Apache-2.0 license. Always verify the repository LICENSE file for legal terms.
