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lehner/gpt

A Python toolkit for lattice field theory, quantum computing, and machine learning

Python ◇ gpt GPL-2.0
★119STARS
⑂46FORKS
!14ISSUES
🏆#10,518GLOBAL RANK
🔥2DAYS TRENDING
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Momentum

+10

STARS · LAST 30 DAYS

1

PER DAY

#1,286

MOST-STARRED Python

Window7 days30 days90 days
Stars gained+7+10+90
Per day111
Forks gained+1+3+10

gpt gained 10 stars in the last 30 days, about 1 a day, and now has 119. It is about 7 years old and has averaged roughly 17 stars a year. It ranks #1,286 among Python repositories and #10,518 across all languages on GitHubRepo.

Trending Record

gpt has maintained a continuous presence across global trending indexes, peaking at #9502. Below is the 30-day activity profile:

💡 Overview

gpt is an open-source project written in Python: A Python toolkit for lattice field theory, quantum computing, and machine learning.

Engineered for speed, consistency, and developer ease, it solves common hurdles in gpt, grid, lattice-field-theory. 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 gpt

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Python >= 3.9, pip, virtualenv

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

gpt 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

Autonomous AI Agents

Orchestrate intelligent workflows and tool-calling routines with gpt.

Model Inference & Prompting

Integrate fast, local or cloud-hosted generative AI models directly into production code.

Context Memory & RAG

Augment language models with dynamic vector retrieval and structured project memory.

Developer Productivity

Automate repetitive engineering tasks, code generation, and test creation using AI agents.

🚀 Getting Started

1

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

2

Initialize your project workspace or configuration file for gpt.

3

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

4

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

👍 Strengths

Active community backing with 119 GitHub stars and verified adoption.
Permissive open-source distribution under the GPL-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.

⇄ Alternatives & Direct Competitors

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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

lehner/gpt is currently ranked #10,518 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#10,495 makandra/cucumber_factory Ruby ★ 120 Compare ↗
#10,495 cainlevy/snail Ruby ★ 120 Compare ↗
#10,495 codyfauser/ebay Ruby ★ 120 Compare ↗
#10,495 lemed99/nightowl-agent PHP ★ 120 Compare ↗
#10,495 gatzenga/Shelv Swift ★ 120 Compare ↗
#10,518 lehner/gpt This Project Python ★ 119
#10,518 imtaqin/waxum Rust ★ 119 Compare ↗
#10,518 Open-Historia/open-historia JavaScript ★ 119 Compare ↗
#10,518 avirtual/clodex JavaScript ★ 119 Compare ↗
#10,518 adkron/actsaswizard Ruby ★ 119 Compare ↗
#10,518 rvirding/leex Erlang ★ 119 Compare ↗

Frequently Asked Questions

What does gpt do? +

A Python toolkit for lattice field theory, quantum computing, and machine learning

What language is gpt written in? +

The primary language is Python. Topics include: gpt, grid, lattice-field-theory, lattice-gauge-theory, lattice-qcd.

Is gpt actively maintained? +

Yes, the last recorded push was on Oct 2, 2026 with 14 open issues being tracked.

How many stars does gpt have? +

gpt has 119 stars and 46 forks on GitHub.

How does gpt rank among GitHub repositories? +

With 119 stars, lehner/gpt is ranked #10,518 globally across all repositories tracked on GitHubRepo and #1,286 among Python projects.

What license is gpt distributed under? +

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

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