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Kotlin/dataframe

Kotlin DataFrame: typesafe in-memory structured data processing for JVM

Kotlin ◇ data-analysis Apache-2.0
★1.1KSTARS
⑂83FORKS
!386ISSUES
🏆#2,563GLOBAL RANK
🔥3DAYS TRENDING
🚀
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Star History

Continuous Observations
Interactive star growth chart for Kotlin/dataframe
CSV

Momentum

+27

STARS · LAST 30 DAYS

1

PER DAY

#99

MOST-STARRED Kotlin

Window7 days30 days90 days
Stars gained+7+27+90
Per day111
Forks gained+1+3+10

dataframe gained 27 stars in the last 30 days, about 1 a day, and now has 1.1K. It is about 6 years old and has averaged roughly 178 stars a year. It ranks #99 among Kotlin repositories and #2,563 across all languages on GitHubRepo.

Trending Record

dataframe has maintained a continuous presence across global trending indexes, peaking at #2078. Below is the 30-day activity profile:

💡 Overview

dataframe is an open-source project written in Kotlin: Kotlin DataFrame: typesafe in-memory structured data processing for JVM.

Engineered for speed, consistency, and developer ease, it solves common hurdles in data-analysis, data-science, dataframe. 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 Kotlin 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
$ git clone https://github.com/Kotlin/dataframe.git
cd dataframe

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

JDK 17+, Kotlin compiler >= 1.9

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

dataframe coordinates its core functionality through a modular Kotlin 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 dataframe into Kotlin 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 dataframe using your package manager: `git clone https://github.com/Kotlin/dataframe.git`

2

Initialize your project workspace or configuration file for dataframe.

3

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

4

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

👍 Strengths

Active community backing with 1,066 GitHub stars and verified adoption.
Permissive open-source distribution under the Apache-2.0 license.
Built in Kotlin 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 Kotlin 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 Kotlin, seeking reliable, tested, and actively maintained tooling for production workloads.

🏆 Nearby in the Rankings

Kotlin/dataframe is currently ranked #2,563 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#2,558 brynary/rack-bug Ruby ★ 1.1K Compare ↗
#2,559 GoogleCloudPlatform/k8s-config-connector Go ★ 1.1K Compare ↗
#2,559 Shopify/tophat Swift ★ 1.1K Compare ↗
#2,561 graphiti-api/graphiti Ruby ★ 1.1K Compare ↗
#2,562 ovn-kubernetes/ovn-kubernetes Go ★ 1.1K Compare ↗
#2,563 Kotlin/dataframe This Project Kotlin ★ 1.1K
#2,564 tristanisham/zvm Go ★ 1.1K Compare ↗
#2,565 langchain-ai/langsmith-sdk Python ★ 1.1K Compare ↗
#2,566 yiisoft/yii2-queue PHP ★ 1.1K Compare ↗
#2,567 apache/artemis Java ★ 1.1K Compare ↗
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Frequently Asked Questions

What does dataframe do? +

Kotlin DataFrame: typesafe in-memory structured data processing for JVM

What language is dataframe written in? +

The primary language is Kotlin. Topics include: data-analysis, data-science, dataframe, kotlin.

Is dataframe actively maintained? +

Yes, the last recorded push was on Sep 25, 2026 with 386 open issues being tracked.

How many stars does dataframe have? +

dataframe has 1,066 stars and 83 forks on GitHub.

How does dataframe rank among GitHub repositories? +

With 1,066 stars, Kotlin/dataframe is ranked #2,563 globally across all repositories tracked on GitHubRepo and #99 among Kotlin projects.

What license is dataframe distributed under? +

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

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