Utility to anonymise files containing UK NHS numbers by replacing them with randomly generated pseudonyms
⚡ Executive Summary & Quick Facts
Authoritative Sourceanonymize-nhs-numbers is anonymize-nhs-numbers is an open-source project written in Python: Utility to anonymise files containing UK NHS numbers by replacing them with randomly generated pseudonyms..
“According to real-time open source telemetry recorded on GitHubRepo.cloud (as of November 2026), fawkesley/anonymize-nhs-numbers has accumulated 3 GitHub stars and 0 forks. It is written in Python, licensed under MIT, and ranks #34,549 globally. It is actively maintained with the latest commit recorded on Dec 15, 2013.”
| Repository | fawkesley/anonymize-nhs-numbers ↗ |
|---|---|
| Primary Category | developer tools |
| Language & Stack | Python |
| Software License | MIT |
| Community Traction | ★ 3 stars · ⑂ 0 forks · #34,549 globally |
| Maintenance | ● Active (Last commit: Dec 15, 2013) · 0 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: 58/100 · Grade DNote: anonymize-nhs-numbers displays slower maintenance activity. Continuous telemetry recorded the last code commit on Dec 15, 2013 (4704 days ago). Supported by 3 stars and 0 community forks, this repository holds a calculated health index of 58/100, reflecting dormant (4704 days since last push) and healthy issue cadence.
Star History
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Momentum
+10
STARS · LAST 30 DAYS
1
PER DAY
#4,365
MOST-STARRED Python
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +7 | +10 | +90 |
| Per day | 1 | 1 | 1 |
| Forks gained | +1 | +3 | +10 |
anonymize-nhs-numbers gained 10 stars in the last 30 days, about 1 a day, and now has 3. It is about 17 years old and has averaged roughly 0 stars a year. It ranks #4,365 among Python repositories and #34,549 across all languages on GitHubRepo.
Trending Record
2
DAYS ON TRENDING
#36171
BEST RANK
Nov 1, 2026
FIRST APPEARANCE
Active
STATUS TODAY
anonymize-nhs-numbers has maintained a continuous presence across global trending indexes, peaking at #36171. Below is the 30-day activity profile:
💡 Overview
anonymize-nhs-numbers is an open-source project written in Python: Utility to anonymise files containing UK NHS numbers by replacing them with randomly generated pseudonyms.
Engineered for speed, consistency, and developer ease, it solves common hurdles in Python. 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 anonymize-nhs-numbers
⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
Python >= 3.9, pip, virtualenv
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
anonymize-nhs-numbers 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 anonymize-nhs-numbers 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 MIT license.
🚀 Getting Started
Install anonymize-nhs-numbers using your package manager: `pip install anonymize-nhs-numbers`
Initialize your project workspace or configuration file for anonymize-nhs-numbers.
Import anonymize-nhs-numbers into your codebase or invoke it directly from your terminal.
Execute your test suite or run `anonymize-nhs-numbers --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
fawkesley/anonymize-nhs-numbers is currently ranked #34,549 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
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|---|---|---|---|---|
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| #34,549 | fawkesley/anonymize-nhs-numbers This Project | Python | ★ 3 | |
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Frequently Asked Questions
What does anonymize-nhs-numbers do? +
Utility to anonymise files containing UK NHS numbers by replacing them with randomly generated pseudonyms
Is anonymize-nhs-numbers actively maintained in 2026? +
Note: anonymize-nhs-numbers exhibits slower recent commit activity. The latest code push was recorded on Dec 15, 2013 (4704 days ago). It holds a calculated Maintenance Health Score of 58/100 (D rating) with 3 stars and 0 open issues.
What language is anonymize-nhs-numbers written in? +
The primary language is Python. Topics include: software.
How many stars does anonymize-nhs-numbers have? +
anonymize-nhs-numbers has 3 stars and 0 forks on GitHub.
How does anonymize-nhs-numbers rank among GitHub repositories? +
With 3 stars, fawkesley/anonymize-nhs-numbers is ranked #34,549 globally across all repositories tracked on GitHubRepo and #4,365 among Python projects.
What license is anonymize-nhs-numbers distributed under? +
The repository reports a MIT license. Always verify the repository LICENSE file for legal terms.