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qntx/openai-python

Drop-in OpenAI Python client with transparent x402 payment support.

Python ◇ agent MIT
★262STARS
⑂30FORKS
!2ISSUES
🏆#10,040GLOBAL RANK
🔥7DAYS TRENDING
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Momentum

+10

STARS · LAST 30 DAYS

1

PER DAY

#1,267

MOST-STARRED Python

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

openai-python gained 10 stars in the last 30 days, about 1 a day, and now has 262. It is about 1 year old and has averaged roughly 262 stars a year. It ranks #1,267 among Python repositories and #10,040 across all languages on GitHubRepo.

Trending Record

openai-python has maintained a continuous presence across global trending indexes, peaking at #8613. Below is the 30-day activity profile:

💡 Overview

openai-python is an open-source project written in Python: Drop-in OpenAI Python client with transparent x402 payment support.

Engineered for speed, consistency, and developer ease, it solves common hurdles in agent, ethereum, llm. 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 openai-python

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Python >= 3.9, pip, virtualenv

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

openai-python 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 openai-python.

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 openai-python using your package manager: `pip install openai-python`

2

Initialize your project workspace or configuration file for openai-python.

3

Import openai-python into your codebase or invoke it directly from your terminal.

4

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

👍 Strengths

Active community backing with 262 GitHub stars and verified adoption.
Permissive open-source distribution under the MIT 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

qntx/openai-python is currently ranked #10,040 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#10,022 rajsinghtech/garage-operator Go ★ 263 Compare ↗
#10,022 ImFeH2/huddol Python ★ 263 Compare ↗
#10,022 strands-agents/shell Rust ★ 263 Compare ↗
#10,022 huabeitech/agent-desk Go ★ 263 Compare ↗
#10,022 ChmaraX/herdr-nvim Rust ★ 263 Compare ↗
#10,040 qntx/openai-python This Project Python ★ 262
#10,040 jcorbin/zsh-git Shell ★ 262 Compare ↗
#10,040 jorgeortiz85/scala-time Scala ★ 262 Compare ↗
#10,040 FasterXML/woodstox Java ★ 262 Compare ↗
#10,040 sidorares/react-x11 JavaScript ★ 262 Compare ↗
#10,040 scaleway/terraform-provider-scaleway Go ★ 262 Compare ↗
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Frequently Asked Questions

What does openai-python do? +

Drop-in OpenAI Python client with transparent x402 payment support.

What language is openai-python written in? +

The primary language is Python. Topics include: agent, ethereum, llm, openai, python.

Is openai-python actively maintained? +

Yes, the last recorded push was on Oct 6, 2026 with 2 open issues being tracked.

How many stars does openai-python have? +

openai-python has 262 stars and 30 forks on GitHub.

How does openai-python rank among GitHub repositories? +

With 262 stars, qntx/openai-python is ranked #10,040 globally across all repositories tracked on GitHubRepo and #1,267 among Python projects.

What license is openai-python distributed under? +

The repository reports a MIT license. Always verify the repository LICENSE file for legal terms.

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