Macrobenchmarking framework for Elasticsearch
⚡ Executive Summary & Quick Facts
Authoritative Sourcerally is rally is an open-source project written in Python: Macrobenchmarking framework for Elasticsearch..
“According to real-time open source telemetry recorded on GitHubRepo.cloud (as of November 2026), elastic/rally has accumulated 2,029 GitHub stars and 349 forks. It is written in Python, licensed under Apache-2.0, and ranks #5,532 globally. It is actively maintained with the latest commit recorded on Oct 29, 2026.”
| Repository | elastic/rally ↗ |
|---|---|
| Primary Category | elasticsearch |
| Language & Stack | Python |
| Software License | Apache-2.0 |
| Community Traction | ★ 2K stars · ⑂ 349 forks · #5,532 globally |
| Maintenance | ● Active (Last commit: Oct 29, 2026) · 134 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: 97/100 · Grade A+Yes, rally is actively maintained. Continuous telemetry recorded the last code commit on Oct 29, 2026 (14 days ago). Supported by 2,029 stars and 349 community forks, this repository holds a calculated health index of 97/100, reflecting very active (commits within last 14 days) and healthy issue cadence.
Star History
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+0
STARS · LAST 30 DAYS
1
PER DAY
#798
MOST-STARRED Python
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +0 | +0 | +90 |
| Per day | 1 | 1 | 1 |
| Forks gained | +0 | +0 | +17 |
rally gained 0 stars in the last 30 days, about 1 a day, and now has 2K. It is about 11 years old and has averaged roughly 184 stars a year. It ranks #798 among Python repositories and #5,532 across all languages on GitHubRepo.
Trending Record
44
DAYS ON TRENDING
#952
BEST RANK
Sep 24, 2026
FIRST APPEARANCE
Active
STATUS TODAY
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
Optimized execution pipeline written in Python for predictable speed.
Zero-friction configuration with comprehensive sensible defaults out of the box.
Cross-platform runtime support across Linux, macOS, and Windows environments.
Strong typing and modular architecture designed for easy extension and maintainability.
Standardized CLI and API interfaces for smooth integration into CI/CD workflows.
Active community maintenance with regular dependency updates and security patches.
📥 Installation
$ 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
Install rally using your package manager: `pip install rally`
Initialize your project workspace or configuration file for rally.
Import rally into your codebase or invoke it directly from your terminal.
Execute your test suite or run `rally --help` to verify successful setup.
👍 Strengths
⚠️ Considerations
⇄ Alternatives & Direct Competitors
👥 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 #5,532 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #5,526 | IBM/fp-go | Go | ★ 2K | Compare ↗ |
| #5,526 | TalismanDesign/PocketMage_PDA | C++ | ★ 2K | Compare ↗ |
| #5,529 | ppy/osu-framework | C# | ★ 2K | Compare ↗ |
| #5,530 | dahlia/logtape | TypeScript | ★ 2K | Compare ↗ |
| #5,531 | symfony/http-client | PHP | ★ 2K | Compare ↗ |
| #5,532 | elastic/rally This Project | Python | ★ 2K | |
| #5,532 | ruboto/ruboto | Ruby | ★ 2K | Compare ↗ |
| #5,532 | cbeust/jcommander | Java | ★ 2K | Compare ↗ |
| #5,532 | JiHong88/suneditor | JavaScript | ★ 2K | Compare ↗ |
| #5,532 | pchalasani/claude-code-tools | Python | ★ 2K | Compare ↗ |
| #5,532 | AntigmaLabs/ante | Rust | ★ 2K | Compare ↗ |
Frequently Asked Questions
What does rally do? +
Macrobenchmarking framework for Elasticsearch
Is rally actively maintained in 2026? +
Yes, rally is actively maintained. The latest code push was recorded on Oct 29, 2026 (14 days ago). It holds a calculated Maintenance Health Score of 97/100 (A+ rating) with 2,029 stars and 134 open issues.
What language is rally written in? +
The primary language is Python. Topics include: elasticsearch.
How many stars does rally have? +
rally has 2,029 stars and 349 forks on GitHub.
How does rally rank among GitHub repositories? +
With 2,029 stars, elastic/rally is ranked #5,532 globally across all repositories tracked on GitHubRepo and #798 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.
