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elastic/rally

Macrobenchmarking framework for Elasticsearch

Python ◇ elasticsearch Apache-2.0
★2KSTARS
⑂350FORKS
!149ISSUES
🏆#1,861GLOBAL RANK
🔥5DAYS TRENDING
🚀
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Star History

Continuous Observations
Interactive star growth chart for elastic/rally
CSV

Momentum

+51

STARS · LAST 30 DAYS

2

PER DAY

#251

MOST-STARRED Python

Window7 days30 days90 days
Stars gained+14+51+180
Per day222
Forks gained+2+7+18

rally gained 51 stars in the last 30 days, about 2 a day, and now has 2K. It is about 11 years old and has averaged roughly 185 stars a year. It ranks #251 among Python repositories and #1,861 across all languages on GitHubRepo.

Trending Record

rally has maintained a continuous presence across global trending indexes, peaking at #952. Below is the 30-day activity profile:

💡 Overview

rally is an open-source project written in Python: Macrobenchmarking framework for Elasticsearch.

Engineered for speed, consistency, and developer ease, it solves common hurdles in elasticsearch. 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 rally

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Python >= 3.9, pip, virtualenv

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

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

2

Initialize your project workspace or configuration file for rally.

3

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

4

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

👍 Strengths

Active community backing with 2,029 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

elastic/rally is currently ranked #1,861 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#1,856 mojombo/grit Ruby ★ 2K Compare ↗
#1,857 Shopify/ruby-lsp Ruby ★ 2K Compare ↗
#1,858 freerouting/freerouting Java ★ 2K Compare ↗
#1,858 Comfy-Org/ComfyUI_frontend TypeScript ★ 2K Compare ↗
#1,860 aelassas/servy C# ★ 2K Compare ↗
#1,861 elastic/rally This Project Python ★ 2K
#1,862 symfony/http-client PHP ★ 2K Compare ↗
#1,863 ezEngine/ezEngine C++ ★ 2K Compare ↗
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#1,865 langgraph4j/langgraph4j Java ★ 2K Compare ↗
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Frequently Asked Questions

What does rally do? +

Macrobenchmarking framework for Elasticsearch

What language is rally written in? +

The primary language is Python. Topics include: elasticsearch.

Is rally actively maintained? +

Yes, the last recorded push was on Sep 25, 2026 with 149 open issues being tracked.

How many stars does rally have? +

rally has 2,031 stars and 350 forks on GitHub.

How does rally rank among GitHub repositories? +

With 2,031 stars, elastic/rally is ranked #1,861 globally across all repositories tracked on GitHubRepo and #251 among Python projects.

What license is rally distributed under? +

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

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