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xorbitsai/inference

Swap GPT for any LLM by changing a single line of code. Xinference lets you run open-source, speech, and multimodal models on cloud, on-prem, or your laptop — all through one unified, production-ready inference API.

Python ◇ artificial-intelligence Apache-2.0
★9.6KSTARS
⑂871FORKS
!32ISSUES
🏆#1,087GLOBAL RANK
🔥1DAYS TRENDING
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Momentum

+240

STARS · LAST 30 DAYS

8

PER DAY

#185

MOST-STARRED Python

Window7 days30 days90 days
Stars gained+56+240+720
Per day888
Forks gained+4+17+44

inference gained 240 stars in the last 30 days, about 8 a day, and now has 9.6K. It is about 3 years old and has averaged roughly 3.2K stars a year. It ranks #185 among Python repositories and #1,087 across all languages on GitHubRepo.

Trending Record

inference has maintained a continuous presence across global trending indexes, peaking at #3171. Below is the 30-day activity profile:

💡 Overview

inference is an open-source project written in Python: Swap GPT for any LLM by changing a single line of code. Xinference lets you run open-source, speech, and multimodal models on cloud, on-prem, or your laptop — all through one unified, production-ready inference API.

Engineered for speed, consistency, and developer ease, it solves common hurdles in artificial-intelligence, deployment, diffusers. 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 inference

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Python >= 3.9, pip, virtualenv

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

inference 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 inference.

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 inference using your package manager: `pip install inference`

2

Initialize your project workspace or configuration file for inference.

3

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

4

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

👍 Strengths

Active community backing with 9,597 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

xorbitsai/inference is currently ranked #1,087 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#1,082 roboflow/rf-detr Python ★ 9.7K Compare ↗
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#1,084 reviewdog/reviewdog Go ★ 9.6K Compare ↗
#1,085 anchore/syft Go ★ 9.6K Compare ↗
#1,086 v2fly/domain-list-community Go ★ 9.6K Compare ↗
#1,087 xorbitsai/inference This Project Python ★ 9.6K
#1,088 checkstyle/checkstyle Java ★ 9.6K Compare ↗
#1,089 flowable/flowable-engine Java ★ 9.6K Compare ↗
#1,090 apache/jmeter Java ★ 9.6K Compare ↗
#1,091 marcelscruz/public-apis JavaScript ★ 9.5K Compare ↗
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Frequently Asked Questions

What does inference do? +

Swap GPT for any LLM by changing a single line of code. Xinference lets you run open-source, speech, and multimodal models on cloud, on-prem, or your laptop — all through one unified, production-ready inference API.

What language is inference written in? +

The primary language is Python. Topics include: artificial-intelligence, deployment, diffusers, gemma, glm.

Is inference actively maintained? +

Yes, the last recorded push was on Oct 5, 2026 with 32 open issues being tracked.

How many stars does inference have? +

inference has 9,597 stars and 871 forks on GitHub.

How does inference rank among GitHub repositories? +

With 9,597 stars, xorbitsai/inference is ranked #1,087 globally across all repositories tracked on GitHubRepo and #185 among Python projects.

What license is inference distributed under? +

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

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