Perl module for Entity Extraction using the stanford NLP parser
⚡ Executive Summary & Quick Facts
Authoritative Sourcetext-nlp-stanford-entityextract is text-nlp-stanford-entityextract is an open-source project written in Perl: Perl module for Entity Extraction using the stanford NLP parser..
“According to real-time open source telemetry recorded on GitHubRepo.cloud (as of October 2026), dr-kd/text-nlp-stanford-entityextract has accumulated 7 GitHub stars and 2 forks. It is written in Perl, licensed under Open Source, and ranks #28,941 globally. It is actively maintained with the latest commit recorded on Aug 7, 2018.”
| Repository | dr-kd/text-nlp-stanford-entityextract ↗ |
|---|---|
| Primary Category | developer tools |
| Language & Stack | Perl |
| Software License | Open Source (Check repository LICENSE) |
| Community Traction | ★ 7 stars · ⑂ 2 forks · #28,941 globally |
| Maintenance | ● Active (Last commit: Aug 7, 2018) · 1 open issues |
| Target Audience | Developers and engineering teams building with Perl, seeking reliable, tested, and actively maintained tooling for production workloads. |
🛡️ Repository Maintenance & Health Audit (2026)
Health Score: 53/100 · Grade DNote: text-nlp-stanford-entityextract displays slower maintenance activity. Continuous telemetry recorded the last code commit on Aug 7, 2018 (3007 days ago). Supported by 7 stars and 2 community forks, this repository holds a calculated health index of 53/100, reflecting dormant (3007 days since last push) and healthy issue cadence.
Star History
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+0
STARS · LAST 30 DAYS
1
PER DAY
#76
MOST-STARRED Perl
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +0 | +0 | +90 |
| Per day | 1 | 1 | 1 |
| Forks gained | +0 | +0 | +10 |
text-nlp-stanford-entityextract gained 0 stars in the last 30 days, about 1 a day, and now has 7. It is about 18 years old and has averaged roughly 0 stars a year. It ranks #76 among Perl repositories and #28,941 across all languages on GitHubRepo.
Trending Record
23
DAYS ON TRENDING
#100
BEST RANK
Nov 25, 2008
FIRST APPEARANCE
Active
STATUS TODAY
text-nlp-stanford-entityextract has maintained a continuous presence across global trending indexes, peaking at #100. Below is the 30-day activity profile:
💡 Overview
text-nlp-stanford-entityextract is an open-source project written in Perl: Perl module for Entity Extraction using the stanford NLP parser.
Engineered for speed, consistency, and developer ease, it solves common hurdles in Perl. 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 Perl 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/dr-kd/text-nlp-stanford-entityextract.git
cd text-nlp-stanford-entityextract⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
Perl environment and standard tooling
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
text-nlp-stanford-entityextract coordinates its core functionality through a modular Perl 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 text-nlp-stanford-entityextract into Perl 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 text-nlp-stanford-entityextract using your package manager: `git clone https://github.com/dr-kd/text-nlp-stanford-entityextract.git`
Initialize your project workspace or configuration file for text-nlp-stanford-entityextract.
Import text-nlp-stanford-entityextract into your codebase or invoke it directly from your terminal.
Execute your test suite or run `text-nlp-stanford-entityextract --help` to verify successful setup.
👍 Strengths
⚠️ Considerations
⇄ Alternatives & Direct Competitors
👥 Who Should Use This
Developers and engineering teams building with Perl, seeking reliable, tested, and actively maintained tooling for production workloads.
🏆 Nearby in the Rankings
dr-kd/text-nlp-stanford-entityextract is currently ranked #28,941 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #28,481 | map0logo/pyspaceinvaders | Python | ★ 8 | Compare ↗ |
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| #28,481 | okrb/okrb.github.com | JavaScript | ★ 8 | Compare ↗ |
| #28,481 | kwi/i18n_auto_scoping | Ruby | ★ 8 | Compare ↗ |
| #28,941 | dr-kd/text-nlp-stanford-entityextract This Project | Perl | ★ 7 | |
| #28,941 | nicksieger/jrexml | Ruby | ★ 7 | Compare ↗ |
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Frequently Asked Questions
What does text-nlp-stanford-entityextract do? +
Perl module for Entity Extraction using the stanford NLP parser
Is text-nlp-stanford-entityextract actively maintained in 2026? +
Note: text-nlp-stanford-entityextract exhibits slower recent commit activity. The latest code push was recorded on Aug 7, 2018 (3007 days ago). It holds a calculated Maintenance Health Score of 53/100 (D rating) with 7 stars and 1 open issues.
What language is text-nlp-stanford-entityextract written in? +
The primary language is Perl. Topics include: software.
How many stars does text-nlp-stanford-entityextract have? +
text-nlp-stanford-entityextract has 7 stars and 2 forks on GitHub.
How does text-nlp-stanford-entityextract rank among GitHub repositories? +
With 7 stars, dr-kd/text-nlp-stanford-entityextract is ranked #28,941 globally across all repositories tracked on GitHubRepo and #76 among Perl projects.
What license is text-nlp-stanford-entityextract distributed under? +
No SPDX license identified yet. Code without a license is subject to copyright by default.
