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narwhals-dev
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narwhals-dev/narwhals

Lightweight and extensible compatibility layer between dataframe libraries!

Python ◇ cudf MIT
★1.7KSTARS
⑂235FORKS
!270ISSUES
🏆#3,192GLOBAL RANK
🔥2DAYS TRENDING
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Momentum

+43

STARS · LAST 30 DAYS

1

PER DAY

#423

MOST-STARRED Python

Window7 days30 days90 days
Stars gained+7+43+90
Per day111
Forks gained+1+5+12

narwhals gained 43 stars in the last 30 days, about 1 a day, and now has 1.7K. It is about 3 years old and has averaged roughly 575 stars a year. It ranks #423 among Python repositories and #3,192 across all languages on GitHubRepo.

Trending Record

narwhals has maintained a continuous presence across global trending indexes, peaking at #3948. Below is the 30-day activity profile:

💡 Overview

narwhals is an open-source project written in Python: Lightweight and extensible compatibility layer between dataframe libraries!.

Engineered for speed, consistency, and developer ease, it solves common hurdles in cudf, dask, duckdb. 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 narwhals

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Python >= 3.9, pip, virtualenv

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

narwhals 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 narwhals 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 MIT license.

🚀 Getting Started

1

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

2

Initialize your project workspace or configuration file for narwhals.

3

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

4

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

👍 Strengths

Active community backing with 1,725 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.

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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

narwhals-dev/narwhals is currently ranked #3,192 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

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Frequently Asked Questions

What does narwhals do? +

Lightweight and extensible compatibility layer between dataframe libraries!

What language is narwhals written in? +

The primary language is Python. Topics include: cudf, dask, duckdb, ibis, pandas.

Is narwhals actively maintained? +

Yes, the last recorded push was on Oct 2, 2026 with 270 open issues being tracked.

How many stars does narwhals have? +

narwhals has 1,725 stars and 235 forks on GitHub.

How does narwhals rank among GitHub repositories? +

With 1,725 stars, narwhals-dev/narwhals is ranked #3,192 globally across all repositories tracked on GitHubRepo and #423 among Python projects.

What license is narwhals distributed under? +

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

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