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NVIDIA-NeMo/Anonymizer

๐Ÿ•ต๏ธ NeMo Anonymizer: Detect and protect PII through context-aware replacement and rewriting

Python โ—‡ anonymization-pipeline Apache-2.0
โ˜…123STARS
โ‘‚19FORKS
!57ISSUES
๐Ÿ†#8,921GLOBAL RANK
๐Ÿ”ฅ2DAYS TRENDING
๐Ÿš€
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Momentum

+10

STARS ยท LAST 30 DAYS

1

PER DAY

#1,089

MOST-STARRED Python

Window7 days30 days90 days
Stars gained+7+10+90
Per day111
Forks gained+1+3+10

Anonymizer gained 10 stars in the last 30 days, about 1 a day, and now has 123. It is about 1 year old and has averaged roughly 123 stars a year. It ranks #1,089 among Python repositories and #8,921 across all languages on GitHubRepo.

Trending Record

Anonymizer has maintained a continuous presence across global trending indexes, peaking at #7796. Below is the 30-day activity profile:

๐Ÿ’ก Overview

Anonymizer is an open-source project written in Python: ๐Ÿ•ต๏ธ NeMo Anonymizer: Detect and protect PII through context-aware replacement and rewriting.

Engineered for speed, consistency, and developer ease, it solves common hurdles in anonymization-pipeline, contextual-privacy, llm. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.

โšก Key Features

1

Optimized execution pipeline written in Python for predictable speed.

2

Zero-friction configuration with comprehensive sensible defaults out of the box.

3

Cross-platform runtime support across Linux, macOS, and Windows environments.

4

Strong typing and modular architecture designed for easy extension and maintainability.

5

Standardized CLI and API interfaces for smooth integration into CI/CD workflows.

6

Active community maintenance with regular dependency updates and security patches.

๐Ÿ“ฅ Installation

terminal
$ pip install Anonymizer

โš™ System Requirements

Platforms

  • โ€ข macOS
  • โ€ข Linux
  • โ€ข Windows

Runtime & Dependencies

Python >= 3.9, pip, virtualenv

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

๐Ÿง  How It Works

Anonymizer 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.

๐ŸŽฏ Production Use Cases

Autonomous AI Agents

Orchestrate intelligent workflows and tool-calling routines with Anonymizer.

Model Inference & Prompting

Integrate fast, local or cloud-hosted generative AI models directly into production code.

Context Memory & RAG

Augment language models with dynamic vector retrieval and structured project memory.

Developer Productivity

Automate repetitive engineering tasks, code generation, and test creation using AI agents.

๐Ÿš€ Getting Started

1

Install Anonymizer using your package manager: `pip install Anonymizer`

2

Initialize your project workspace or configuration file for Anonymizer.

3

Import Anonymizer into your codebase or invoke it directly from your terminal.

4

Execute your test suite or run `Anonymizer --help` to verify successful setup.

๐Ÿ‘ Strengths

Active community backing with 123 GitHub stars and verified adoption.
Permissive open-source distribution under the Apache-2.0 license.
Built in Python for high execution speed and developer familiarity.
Cross-platform compatibility across modern Linux, macOS, and Windows environments.
Clean modular design allowing flexible configuration and pipeline integration.

โš ๏ธ Considerations

Requires familiarity with Python and modern CLI workflows.
Ecosystem extensions may require manual configuration depending on environment constraints.
Active development roadmap means breaking API changes may occur across major versions.

โ‡„ Alternatives & Direct Competitors

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๐Ÿ‘ฅ Who Should Use This

Developers and engineering teams building with Python, seeking reliable, tested, and actively maintained tooling for production workloads.

๐Ÿ† Nearby in the Rankings

NVIDIA-NeMo/Anonymizer is currently ranked #8,921 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#8,906 larrytheliquid/dataflow Ruby โ˜… 124 Compare โ†—
#8,906 grimen/dry_scaffold Ruby โ˜… 124 Compare โ†—
#8,906 jdf/peasycam Java โ˜… 124 Compare โ†—
#8,906 AgileShift/cargo_management Python โ˜… 124 Compare โ†—
#8,906 OnyxAxisOwO/ObsidianArc Go โ˜… 124 Compare โ†—
#8,921 NVIDIA-NeMo/Anonymizer This Project Python โ˜… 123
#8,921 ThinkFlowLab/vllm-rlt Python โ˜… 123 Compare โ†—
#8,921 ericrisco/rsc-harness JavaScript โ˜… 123 Compare โ†—
#8,921 antonyshakirov/hop Swift โ˜… 123 Compare โ†—
#8,921 lingkuma/LingKuma JavaScript โ˜… 123 Compare โ†—
#8,921 ruphy/speedcrunch C++ โ˜… 123 Compare โ†—

Frequently Asked Questions

What does Anonymizer do? +

๐Ÿ•ต๏ธ NeMo Anonymizer: Detect and protect PII through context-aware replacement and rewriting

What language is Anonymizer written in? +

The primary language is Python. Topics include: anonymization-pipeline, contextual-privacy, llm, nvidia, nvidia-nemo.

Is Anonymizer actively maintained? +

Yes, the last recorded push was on Sep 30, 2026 with 57 open issues being tracked.

How many stars does Anonymizer have? +

Anonymizer has 123 stars and 19 forks on GitHub.

How does Anonymizer rank among GitHub repositories? +

With 123 stars, NVIDIA-NeMo/Anonymizer is ranked #8,921 globally across all repositories tracked on GitHubRepo and #1,089 among Python projects.

What license is Anonymizer distributed under? +

The repository reports a Apache-2.0 license. Always verify the repository LICENSE file for legal terms.

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