klemellill/java-nlp-utils
A framework for performing statistical natural language processing along with sample implementations of several statistical models
Star History
Add Live Star History & Verified Badges to README.md
Keep your repository README looking professional and dynamic. As our continuous crawler records new stars, these official SVG badges update in real time with zero maintenance.
Renders your high-resolution star trajectory chart right inside your GitHub README or project docs.
[](https://githubrepo.cloud/repo/klemellill/java-nlp-utils?utm_source=readme_chart)Compact Shields-style badges for your README header. Shows real-time stars and global ranking.
[](https://githubrepo.cloud/repo/klemellill/java-nlp-utils?utm_source=readme_badge) [](https://githubrepo.cloud/repo/klemellill/java-nlp-utils?utm_source=readme_badge) [](https://githubrepo.cloud/repo/klemellill/java-nlp-utils?utm_source=readme_badge)Momentum
+10
STARS · LAST 30 DAYS
1
PER DAY
#978
MOST-STARRED Java
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +7 | +10 | +90 |
| Per day | 1 | 1 | 1 |
| Forks gained | +1 | +3 | +10 |
java-nlp-utils gained 10 stars in the last 30 days, about 1 a day, and now has 2. It is about 18 years old and has averaged roughly 0 stars a year. It ranks #978 among Java repositories and #15,920 across all languages on GitHubRepo.
Trending Record
20
DAYS ON TRENDING
#100
BEST RANK
Dec 12, 2008
FIRST APPEARANCE
Active
STATUS TODAY
java-nlp-utils has maintained a continuous presence across global trending indexes, peaking at #100. Below is the 30-day activity profile:
💡 Overview
java-nlp-utils is an open-source project written in Java: A framework for performing statistical natural language processing along with sample implementations of several statistical models.
Engineered for speed, consistency, and developer ease, it solves common hurdles in Java. 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/klemellill/java-nlp-utils.git
cd java-nlp-utils⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
JDK 17 or higher (OpenJDK / GraalVM)
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
java-nlp-utils 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 java-nlp-utils 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 source license.
🚀 Getting Started
Install java-nlp-utils using your package manager: `git clone https://github.com/klemellill/java-nlp-utils.git`
Initialize your project workspace or configuration file for java-nlp-utils.
Import java-nlp-utils into your codebase or invoke it directly from your terminal.
Execute your test suite or run `java-nlp-utils --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
klemellill/java-nlp-utils is currently ranked #15,920 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #14,771 | matschaffer/mechaflickr | Ruby | ★ 3 | Compare ↗ |
| #14,771 | gnu-lorien/crapvine | Python | ★ 3 | Compare ↗ |
| #14,771 | francois/fogbugz-svnhook | — | ★ 3 | Compare ↗ |
| #14,771 | anildigital/getfake | Ruby | ★ 3 | Compare ↗ |
| #14,771 | mudge/blankable | Ruby | ★ 3 | Compare ↗ |
| #15,920 | klemellill/java-nlp-utils This Project | Java | ★ 2 | |
| #15,920 | pdsphil/ruby-merlin | Ruby | ★ 2 | Compare ↗ |
| #15,920 | daaku/tempdir | Ruby | ★ 2 | Compare ↗ |
| #15,920 | morgs/poll-builder | Python | ★ 2 | Compare ↗ |
| #15,920 | locusf/monotooth | HTML | ★ 2 | Compare ↗ |
| #15,920 | xman/utility | Shell | ★ 2 | Compare ↗ |
Frequently Asked Questions
What does java-nlp-utils do? +
A framework for performing statistical natural language processing along with sample implementations of several statistical models
What language is java-nlp-utils written in? +
The primary language is Java. Topics include: software.
Is java-nlp-utils actively maintained? +
Yes, the last recorded push was on Dec 12, 2008 with 0 open issues being tracked.
How many stars does java-nlp-utils have? +
java-nlp-utils has 2 stars and 0 forks on GitHub.
How does java-nlp-utils rank among GitHub repositories? +
With 2 stars, klemellill/java-nlp-utils is ranked #15,920 globally across all repositories tracked on GitHubRepo and #978 among Java projects.
What license is java-nlp-utils distributed under? +
No SPDX license identified yet. Code without a license is subject to copyright by default.
