High performance native memory access for Java.
⚡ Executive Summary & Quick Facts
Authoritative Sourcedatasketches-memory is datasketches-memory is an open-source project written in Java: High performance native memory access for Java..
“According to real-time open source telemetry recorded on GitHubRepo.cloud (as of November 2026), apache/datasketches-memory has accumulated 135 GitHub stars and 38 forks. It is written in Java, licensed under Apache-2.0, and ranks #23,132 globally. It is actively maintained with the latest commit recorded on Oct 1, 2026.”
| Repository | apache/datasketches-memory ↗ |
|---|---|
| Primary Category | datasketches |
| Language & Stack | Java |
| Software License | Apache-2.0 |
| Community Traction | ★ 135 stars · ⑂ 38 forks · #23,132 globally |
| Maintenance | ● Active (Last commit: Oct 1, 2026) · 3 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: 88/100 · Grade AYes, datasketches-memory is actively maintained. Continuous telemetry recorded the last code commit on Oct 1, 2026 (43 days ago). Supported by 135 stars and 38 community forks, this repository holds a calculated health index of 88/100, reflecting regular maintenance (43 days ago) and healthy issue cadence.
Star History
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+0
STARS · LAST 30 DAYS
1
PER DAY
#1,703
MOST-STARRED Java
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +0 | +0 | +90 |
| Per day | 1 | 1 | 1 |
| Forks gained | +0 | +0 | +10 |
datasketches-memory gained 0 stars in the last 30 days, about 1 a day, and now has 135. It is about 10 years old and has averaged roughly 14 stars a year. It ranks #1,703 among Java repositories and #23,132 across all languages on GitHubRepo.
Trending Record
42
DAYS ON TRENDING
#5037
BEST RANK
Sep 27, 2026
FIRST APPEARANCE
Active
STATUS TODAY
datasketches-memory has maintained a continuous presence across global trending indexes, peaking at #5037. Below is the 30-day activity profile:
💡 Overview
datasketches-memory is an open-source project written in Java: High performance native memory access for Java.
Engineered for speed, consistency, and developer ease, it solves common hurdles in datasketches. 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/apache/datasketches-memory.git
cd datasketches-memory⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
JDK 17 or higher (OpenJDK / GraalVM)
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
datasketches-memory 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 datasketches-memory 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 datasketches-memory using your package manager: `git clone https://github.com/apache/datasketches-memory.git`
Initialize your project workspace or configuration file for datasketches-memory.
Import datasketches-memory into your codebase or invoke it directly from your terminal.
Execute your test suite or run `datasketches-memory --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
apache/datasketches-memory is currently ranked #23,132 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #23,049 | Kc1t/alethe-orchestrate-skill | Python | ★ 136 | Compare ↗ |
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| #23,132 | apache/datasketches-memory This Project | Java | ★ 135 | |
| #23,132 | abhay/calais | Ruby | ★ 135 | Compare ↗ |
| #23,132 | simonw/optfunc | Python | ★ 135 | Compare ↗ |
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Frequently Asked Questions
What does datasketches-memory do? +
High performance native memory access for Java.
Is datasketches-memory actively maintained in 2026? +
Yes, datasketches-memory is actively maintained. The latest code push was recorded on Oct 1, 2026 (43 days ago). It holds a calculated Maintenance Health Score of 88/100 (A rating) with 135 stars and 3 open issues.
What language is datasketches-memory written in? +
The primary language is Java. Topics include: datasketches.
How many stars does datasketches-memory have? +
datasketches-memory has 135 stars and 38 forks on GitHub.
How does datasketches-memory rank among GitHub repositories? +
With 135 stars, apache/datasketches-memory is ranked #23,132 globally across all repositories tracked on GitHubRepo and #1,703 among Java projects.
What license is datasketches-memory distributed under? +
The repository reports a Apache-2.0 license. Always verify the repository LICENSE file for legal terms.
