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ifm-ai/uno

Unlocking Lossless Speedups in LLMs via Discrete Diffusion

Python ◇ developer-tools Apache-2.0
★96STARS
⑂13FORKS
!1ISSUES
🏆#15,736GLOBAL RANK
🔥14DAYS TRENDING
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Momentum

+10

STARS · LAST 30 DAYS

1

PER DAY

#2,089

MOST-STARRED Python

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

uno gained 10 stars in the last 30 days, about 1 a day, and now has 96. It is about 1 year old and has averaged roughly 96 stars a year. It ranks #2,089 among Python repositories and #15,736 across all languages on GitHubRepo.

Trending Record

uno has maintained a continuous presence across global trending indexes, peaking at #8461. Below is the 30-day activity profile:

💡 Overview

uno is an open-source project written in Python: Unlocking Lossless Speedups in LLMs via Discrete Diffusion.

Engineered for speed, consistency, and developer ease, it solves common hurdles in Python. 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 uno

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Python >= 3.9, pip, virtualenv

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

uno 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 uno 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 uno using your package manager: `pip install uno`

2

Initialize your project workspace or configuration file for uno.

3

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

4

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

👍 Strengths

Active community backing with 96 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

ifm-ai/uno is currently ranked #15,736 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#15,727 Gestas/Tarsnap-generations Shell ★ 97 Compare ↗
#15,727 Erutaner/CLADE Python ★ 97 Compare ↗
#15,727 hsj576/virtual-ai-infra-team Python ★ 97 Compare ↗
#15,727 KINGCLCL/SoftMotion Python ★ 97 Compare ↗
#15,727 StartLuxLabs/StartLux-Decision Python ★ 97 Compare ↗
#15,736 ifm-ai/uno This Project Python ★ 96
#15,736 segfault/ruby-hl7 Ruby ★ 96 Compare ↗
#15,736 marc-lorber/oregano C ★ 96 Compare ↗
#15,736 copyhacker/backup_fu Ruby ★ 96 Compare ↗
#15,736 sciyoshi/django-dbsettings Python ★ 96 Compare ↗
#15,736 collectd/jcollectd Java ★ 96 Compare ↗
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Frequently Asked Questions

What does uno do? +

Unlocking Lossless Speedups in LLMs via Discrete Diffusion

What language is uno written in? +

The primary language is Python. Topics include: software.

Is uno actively maintained? +

Yes, the last recorded push was on Sep 20, 2026 with 1 open issues being tracked.

How many stars does uno have? +

uno has 96 stars and 13 forks on GitHub.

How does uno rank among GitHub repositories? +

With 96 stars, ifm-ai/uno is ranked #15,736 globally across all repositories tracked on GitHubRepo and #2,089 among Python projects.

What license is uno distributed under? +

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

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