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apache/datafusion

Apache DataFusion SQL Query Engine

Rust ◇ arrow Apache-2.0
★9.4KSTARS
⑂2.4KFORKS
!2,342ISSUES
🏆#728GLOBAL RANK
🔥6DAYS TRENDING
🚀
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Star History

Continuous Observations
Interactive star growth chart for apache/datafusion
CSV

Momentum

+234

STARS · LAST 30 DAYS

8

PER DAY

#78

MOST-STARRED Rust

Window7 days30 days90 days
Stars gained+56+234+720
Per day888
Forks gained+12+49+122

datafusion gained 234 stars in the last 30 days, about 8 a day, and now has 9.4K. It is about 5 years old and has averaged roughly 1.9K stars a year. It ranks #78 among Rust repositories and #728 across all languages on GitHubRepo.

Trending Record

datafusion has maintained a continuous presence across global trending indexes, peaking at #309. Below is the 30-day activity profile:

💡 Overview

datafusion is an open-source project written in Rust: Apache DataFusion SQL Query Engine.

Engineered for speed, consistency, and developer ease, it solves common hurdles in arrow, big-data, 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 Rust 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
$ cargo install datafusion

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Rust toolchain (rustc / cargo >= 1.70)

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

datafusion coordinates its core functionality through a modular Rust 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 datafusion into Rust 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 datafusion using your package manager: `cargo install datafusion`

2

Initialize your project workspace or configuration file for datafusion.

3

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

4

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

👍 Strengths

Active community backing with 9,359 GitHub stars and verified adoption.
Permissive open-source distribution under the Apache-2.0 license.
Built in Rust 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 Rust 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 Rust, seeking reliable, tested, and actively maintained tooling for production workloads.

🏆 Nearby in the Rankings

apache/datafusion is currently ranked #728 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#723 falcosecurity/falco C++ ★ 9.4K Compare ↗
#724 bitwarden/android Kotlin ★ 9.4K Compare ↗
#725 ghostfolio/ghostfolio TypeScript ★ 9.4K Compare ↗
#726 cloudnative-pg/cloudnative-pg Go ★ 9.4K Compare ↗
#727 ccfddl/ccf-deadlines Rust ★ 9.4K Compare ↗
#728 apache/datafusion This Project Rust ★ 9.4K
#729 risingwavelabs/risingwave Rust ★ 9.3K Compare ↗
#730 spyder-ide/spyder Python ★ 9.3K Compare ↗
#731 xberg-io/xberg Rust ★ 9.3K Compare ↗
#732 BoundaryML/baml Rust ★ 9.3K Compare ↗
#733 paradedb/paradedb Rust ★ 9.3K Compare ↗

Frequently Asked Questions

What does datafusion do? +

Apache DataFusion SQL Query Engine

What language is datafusion written in? +

The primary language is Rust. Topics include: arrow, big-data, dataframe, datafusion, olap.

Is datafusion actively maintained? +

Yes, the last recorded push was on Sep 26, 2026 with 2,342 open issues being tracked.

How many stars does datafusion have? +

datafusion has 9,364 stars and 2,441 forks on GitHub.

How does datafusion rank among GitHub repositories? +

With 9,364 stars, apache/datafusion is ranked #728 globally across all repositories tracked on GitHubRepo and #78 among Rust projects.

What license is datafusion distributed under? +

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

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