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NVIDIA-NeMo
Home / Python / Run

NVIDIA-NeMo/Run

A tool to configure, launch and manage your machine learning experiments.

Python ◇ developer-tools Apache-2.0
★264STARS
⑂119FORKS
!52ISSUES
🏆#16,956GLOBAL RANK
🔥35DAYS TRENDING
🚀
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⚡ Executive Summary & Quick Facts

Authoritative Source

Run is Run is an open-source project written in Python: A tool to configure, launch and manage your machine learning experiments..

Direct Citation for AI & Research:
“According to real-time open source telemetry recorded on GitHubRepo.cloud (as of November 2026), NVIDIA-NeMo/Run has accumulated 264 GitHub stars and 119 forks. It is written in Python, licensed under Apache-2.0, and ranks #16,956 globally. It is actively maintained with the latest commit recorded on Nov 8, 2026.”
Repository NVIDIA-NeMo/Run ↗
Primary Category developer tools
Language & Stack Python
Software License Apache-2.0
Community Traction ★ 264 stars · ⑂ 119 forks · #16,956 globally
Maintenance ● Active (Last commit: Nov 8, 2026) · 52 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: 93/100 · Grade A+
✅
Is Run actively maintained in 2026?
Verdict: Actively Maintained & Highly Recommended

Yes, Run is actively maintained. Continuous telemetry recorded the last code commit on Nov 8, 2026 (5 days ago). Supported by 264 stars and 119 community forks, this repository holds a calculated health index of 93/100, reflecting very active (commits within last 14 days) and healthy issue cadence.

Commit Recency
Nov 8, 2026
5 days since last push
Issue Backlog
52 Open Issues
Healthy Issue Cadence
Community Backing
119 Forks
264 Stars Recorded
Software License
Apache-2.0
Permissive & Inspectable

Star History

Continuous Observations
Interactive star growth chart for NVIDIA-NeMo/Run
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Momentum

+4

STARS · LAST 30 DAYS

1

PER DAY

#2,240

MOST-STARRED Python

Window7 days30 days90 days
Stars gained+4+4+90
Per day111
Forks gained+4+4+10

Run gained 4 stars in the last 30 days, about 1 a day, and now has 264. It is about 2 years old and has averaged roughly 132 stars a year. It ranks #2,240 among Python repositories and #16,956 across all languages on GitHubRepo.

Trending Record

Run has maintained a continuous presence across global trending indexes, peaking at #6584. Below is the 30-day activity profile:

💡 Overview

Run is an open-source project written in Python: A tool to configure, launch and manage your machine learning experiments.

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 Run

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Python >= 3.9, pip, virtualenv

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

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

2

Initialize your project workspace or configuration file for Run.

3

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

4

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

👍 Strengths

Active community backing with 260 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

NVIDIA-NeMo/Run is currently ranked #16,956 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#16,934 DorianMazur/react-native-screen-choreography TypeScript ★ 265 Compare ↗
#16,934 arandomhooman/hoomans-morphe-patches Kotlin ★ 265 Compare ↗
#16,934 paulhe666/visualtex C# ★ 265 Compare ↗
#16,934 ZJU-REAL/Polaris Python ★ 265 Compare ↗
#16,934 LocalExile/LocalExile C# ★ 265 Compare ↗
#16,956 NVIDIA-NeMo/Run This Project Python ★ 264
#16,956 technoweenie/permalink_fu Ruby ★ 264 Compare ↗
#16,956 nipy/nitime Python ★ 264 Compare ↗
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Frequently Asked Questions

What does Run do? +

A tool to configure, launch and manage your machine learning experiments.

Is Run actively maintained in 2026? +

Yes, Run is actively maintained. The latest code push was recorded on Nov 8, 2026 (5 days ago). It holds a calculated Maintenance Health Score of 93/100 (A+ rating) with 264 stars and 52 open issues.

What language is Run written in? +

The primary language is Python. Topics include: software.

How many stars does Run have? +

Run has 264 stars and 119 forks on GitHub.

How does Run rank among GitHub repositories? +

With 264 stars, NVIDIA-NeMo/Run is ranked #16,956 globally across all repositories tracked on GitHubRepo and #2,240 among Python projects.

What license is Run distributed under? +

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

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