spiculedata/saiku
Open-source semantic layer: one cube for Excel (MDX/XMLA), dashboards, and AI agents (MCP). Mondrian + Apache Calcite.
⚡ Executive Summary & Quick Facts
Authoritative Sourcesaiku is saiku is an open-source project written in Java: Open-source semantic layer: one cube for Excel (MDX/XMLA), dashboards, and AI agents (MCP). Mondrian + Apache Calcite..
“According to real-time open source telemetry recorded on GitHubRepo.cloud (as of November 2026), spiculedata/saiku has accumulated 1,334 GitHub stars and 658 forks. It is written in Java, licensed under Apache-2.0, and ranks #7,259 globally. It is actively maintained with the latest commit recorded on Oct 23, 2026.”
| Repository | spiculedata/saiku ↗ |
|---|---|
| Primary Category | analytics |
| Language & Stack | Java |
| Software License | Apache-2.0 |
| Community Traction | ★ 1.3K stars · ⑂ 658 forks · #7,259 globally |
| Maintenance | ● Active (Last commit: Oct 23, 2026) · 77 open issues |
| Target Audience | Developers and engineering teams building with Java, seeking reliable, tested, and actively maintained tooling for production workloads. |
🛡️ Repository Maintenance & Health Audit (2026)
Health Score: 92/100 · Grade AYes, saiku is actively maintained. Continuous telemetry recorded the last code commit on Oct 23, 2026 (21 days ago). Supported by 1,334 stars and 658 community forks, this repository holds a calculated health index of 92/100, reflecting regular maintenance (21 days ago) and healthy issue cadence.
Star History
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+4
STARS · LAST 30 DAYS
1
PER DAY
#480
MOST-STARRED Java
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +0 | +4 | +90 |
| Per day | 1 | 1 | 1 |
| Forks gained | +0 | +0 | +33 |
saiku gained 4 stars in the last 30 days, about 1 a day, and now has 1.3K. It is about 15 years old and has averaged roughly 89 stars a year. It ranks #480 among Java repositories and #7,259 across all languages on GitHubRepo.
Trending Record
44
DAYS ON TRENDING
#1102
BEST RANK
Sep 24, 2026
FIRST APPEARANCE
Active
STATUS TODAY
saiku has maintained a continuous presence across global trending indexes, peaking at #1102. Below is the 30-day activity profile:
💡 Overview
saiku is an open-source project written in Java: Open-source semantic layer: one cube for Excel (MDX/XMLA), dashboards, and AI agents (MCP). Mondrian + Apache Calcite.
Engineered for speed, consistency, and developer ease, it solves common hurdles in analytics, apache-calcite, business-intelligence. 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 Java 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
$ git clone https://github.com/spiculedata/saiku.git
cd saiku⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
JDK 17 or higher (OpenJDK / GraalVM)
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
saiku coordinates its core functionality through a modular Java 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 saiku into Java 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 saiku using your package manager: `git clone https://github.com/spiculedata/saiku.git`
Initialize your project workspace or configuration file for saiku.
Import saiku into your codebase or invoke it directly from your terminal.
Execute your test suite or run `saiku --help` to verify successful setup.
👍 Strengths
⚠️ Considerations
⇄ Alternatives & Direct Competitors
👥 Who Should Use This
Developers and engineering teams building with Java, seeking reliable, tested, and actively maintained tooling for production workloads.
🏆 Nearby in the Rankings
spiculedata/saiku is currently ranked #7,259 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
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Frequently Asked Questions
What does saiku do? +
Open-source semantic layer: one cube for Excel (MDX/XMLA), dashboards, and AI agents (MCP). Mondrian + Apache Calcite.
Is saiku actively maintained in 2026? +
Yes, saiku is actively maintained. The latest code push was recorded on Oct 23, 2026 (21 days ago). It holds a calculated Maintenance Health Score of 92/100 (A rating) with 1,334 stars and 77 open issues.
What language is saiku written in? +
The primary language is Java. Topics include: analytics, apache-calcite, business-intelligence, mcp, mdx.
How many stars does saiku have? +
saiku has 1,334 stars and 658 forks on GitHub.
How does saiku rank among GitHub repositories? +
With 1,334 stars, spiculedata/saiku is ranked #7,259 globally across all repositories tracked on GitHubRepo and #480 among Java projects.
What license is saiku distributed under? +
The repository reports a Apache-2.0 license. Always verify the repository LICENSE file for legal terms.
