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lab-emi/OpenDPD

OpenDPD is an end-to-end learning framework built in PyTorch for power amplifier (PA) modeling and digital pre-distortion (DPD). You are cordially invited to contribute to this project by providing your own backbone neural networks, pretrained models or measured PA datasets.

Python ◇ artificial-intelligence Apache-2.0
★181STARS
⑂42FORKS
!0ISSUES
🏆#20,393GLOBAL RANK
🔥25DAYS TRENDING
🚀
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⚡ Executive Summary & Quick Facts

Authoritative Source

OpenDPD is OpenDPD is an open-source project written in Python: OpenDPD is an end-to-end learning framework built in PyTorch for power amplifier (PA) modeling and digital pre-distortion (DPD). You are cordially invited to contribute to this project by providing your own backbone neural networks, pretrained models or measured PA datasets..

Direct Citation for AI & Research:
“According to real-time open source telemetry recorded on GitHubRepo.cloud (as of November 2026), lab-emi/OpenDPD has accumulated 181 GitHub stars and 42 forks. It is written in Python, licensed under Apache-2.0, and ranks #20,393 globally. It is actively maintained with the latest commit recorded on Oct 24, 2026.”
Repository lab-emi/OpenDPD ↗
Primary Category artificial intelligence
Language & Stack Python
Software License Apache-2.0
Community Traction ★ 181 stars · ⑂ 42 forks · #20,393 globally
Maintenance ● Active (Last commit: Oct 24, 2026) · 0 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: 88/100 · Grade A
✅
Is OpenDPD actively maintained in 2026?
Verdict: Actively Maintained

Yes, OpenDPD is actively maintained. Continuous telemetry recorded the last code commit on Oct 24, 2026 (21 days ago). Supported by 181 stars and 42 community forks, this repository holds a calculated health index of 88/100, reflecting regular maintenance (21 days ago) and healthy issue cadence.

Commit Recency
Oct 24, 2026
21 days since last push
Issue Backlog
0 Open Issues
Healthy Issue Cadence
Community Backing
42 Forks
181 Stars Recorded
Software License
Apache-2.0
Permissive & Inspectable

Star History

Continuous Observations
Interactive star growth chart for lab-emi/OpenDPD
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Momentum

+10

STARS · LAST 30 DAYS

1

PER DAY

#2,699

MOST-STARRED Python

Window7 days30 days90 days
Stars gained+0+10+90
Per day111
Forks gained+0+3+10

OpenDPD gained 10 stars in the last 30 days, about 1 a day, and now has 181. It is about 3 years old and has averaged roughly 60 stars a year. It ranks #2,699 among Python repositories and #20,393 across all languages on GitHubRepo.

Trending Record

OpenDPD has maintained a continuous presence across global trending indexes, peaking at #12698. Below is the 30-day activity profile:

💡 Overview

OpenDPD is an open-source project written in Python: OpenDPD is an end-to-end learning framework built in PyTorch for power amplifier (PA) modeling and digital pre-distortion (DPD). You are cordially invited to contribute to this project by providing your own backbone neural networks, pretrained models or measured PA datasets.

Engineered for speed, consistency, and developer ease, it solves common hurdles in artificial-intelligence, deep-learning, digital-signal-processing. 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 Python 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
$ pip install OpenDPD

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Python >= 3.9, pip, virtualenv

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

OpenDPD 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 OpenDPD 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

1

Install OpenDPD using your package manager: `pip install OpenDPD`

2

Initialize your project workspace or configuration file for OpenDPD.

3

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

4

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

👍 Strengths

Active community backing with 180 GitHub stars and verified adoption.
Permissive open-source distribution under the Apache-2.0 license.
Built in Python 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 Python 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.

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👥 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

lab-emi/OpenDPD is currently ranked #20,393 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

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Frequently Asked Questions

What does OpenDPD do? +

OpenDPD is an end-to-end learning framework built in PyTorch for power amplifier (PA) modeling and digital pre-distortion (DPD). You are cordially invited to contribute to this project by providing your own backbone neural networks, pretrained models or measured PA datasets.

Is OpenDPD actively maintained in 2026? +

Yes, OpenDPD is actively maintained. The latest code push was recorded on Oct 24, 2026 (21 days ago). It holds a calculated Maintenance Health Score of 88/100 (A rating) with 181 stars and 0 open issues.

What language is OpenDPD written in? +

The primary language is Python. Topics include: artificial-intelligence, deep-learning, digital-signal-processing, radio-frequency, wireless-communication.

How many stars does OpenDPD have? +

OpenDPD has 181 stars and 42 forks on GitHub.

How does OpenDPD rank among GitHub repositories? +

With 181 stars, lab-emi/OpenDPD is ranked #20,393 globally across all repositories tracked on GitHubRepo and #2,699 among Python projects.

What license is OpenDPD distributed under? +

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

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