Built something? We create video reels & spotlights for GitHub projects.Promote your project →
feedbackmine
Home / C / ferret_tokenizer

feedbackmine/ferret_tokenizer

A string tokenizer based on Ferret::Analysis::StandardAnalyzer.

★19STARS
⑂4FORKS
!0ISSUES
🏆#15,653GLOBAL RANK
🔥27DAYS TRENDING
🚀
Maintainer Growth Kit for ferret_tokenizer

Claim this project, add your verified backlink badge to your README, and download milestone cards.

Claim Repo

Star History

Continuous Observations
Interactive star growth chart for feedbackmine/ferret_tokenizer
CSV
⭐ VIRAL README KIT

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.

Open README on GitHub ↗
Option 1: Interactive Star History Chart Dynamic SVG

Renders your high-resolution star trajectory chart right inside your GitHub README or project docs.

feedbackmine/ferret_tokenizer Star History Preview
markdown
[![Star History Chart](https://githubrepo.cloud/api/badge/chart/feedbackmine/ferret_tokenizer.svg?theme=dark)](https://githubrepo.cloud/repo/feedbackmine/ferret_tokenizer?utm_source=readme_chart)
Direct SVG Link ↗
Option 2: Verified Shields Badges Shields.io Style

Compact Shields-style badges for your README header. Shows real-time stars and global ranking.

Featured badge Stars badge Rank badge
markdown (badge trio)
[![Featured on GitHubRepo.cloud](https://githubrepo.cloud/badge/feedbackmine/ferret_tokenizer.svg?metric=featured)](https://githubrepo.cloud/repo/feedbackmine/ferret_tokenizer?utm_source=readme_badge) [![GitHubRepo Stars](https://githubrepo.cloud/badge/feedbackmine/ferret_tokenizer.svg?metric=stars)](https://githubrepo.cloud/repo/feedbackmine/ferret_tokenizer?utm_source=readme_badge) [![Global Rank](https://githubrepo.cloud/badge/feedbackmine/ferret_tokenizer.svg?metric=rank)](https://githubrepo.cloud/repo/feedbackmine/ferret_tokenizer?utm_source=readme_badge)

Momentum

+10

STARS · LAST 30 DAYS

1

PER DAY

#290

MOST-STARRED C

Window7 days30 days90 days
Stars gained+0+10+90
Per day111
Forks gained+0+3+10

ferret_tokenizer gained 10 stars in the last 30 days, about 1 a day, and now has 19. It is about 18 years old and has averaged roughly 1 stars a year. It ranks #290 among C repositories and #15,653 across all languages on GitHubRepo.

Trending Record

ferret_tokenizer has maintained a continuous presence across global trending indexes, peaking at #100. Below is the 30-day activity profile:

💡 Overview

ferret_tokenizer is an open-source project written in C: A string tokenizer based on Ferret::Analysis::StandardAnalyzer.

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

⚡ Key Features

1

Optimized execution pipeline written in C 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.

📥 Installation

terminal
$ git clone https://github.com/feedbackmine/ferret_tokenizer.git
cd ferret_tokenizer

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

C99 or C11 compiler with CMake / make

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

ferret_tokenizer coordinates its core functionality through a modular C 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 ferret_tokenizer into C 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

1

Install ferret_tokenizer using your package manager: `git clone https://github.com/feedbackmine/ferret_tokenizer.git`

2

Initialize your project workspace or configuration file for ferret_tokenizer.

3

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

4

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

👍 Strengths

Active community backing with 19 GitHub stars and verified adoption.
Permissive open-source distribution under the Open Source license.
Built in C 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.

⚠️ Considerations

Requires familiarity with C 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.

⇄ Alternatives & Direct Competitors

C

Pre-indexed code knowledge graph, auto syncs on code changes, for Claude Code, Codex, Gemini, Cursor, OpenCode, AntiGravity, Kiro, CoPilot, and Hermes Agent — fewer tokens, fewer tool calls, 100% local

Compare ↗
C

High-performance code intelligence MCP server. Indexes codebases into a persistent knowledge graph — average repo in milliseconds. 158 languages, sub-ms queries, 99% fewer tokens. Single static binary, zero dependencies.

Compare ↗
C
JustVugg/colibri ★ 39.7K C

Run frontier MoE models on hardware you already own — pure C, zero deps, experts streamed from disk. Tiny engine, immense model. 🐦

Compare ↗
V
videolan/vlc ★ 19.8K C

VLC media player - plays everything, runs anywhere. Code here: https://code.videolan.org/videolan/vlc

Compare ↗

👥 Who Should Use This

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

🏆 Nearby in the Rankings

feedbackmine/ferret_tokenizer is currently ranked #15,653 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#15,557 markoa/r2flickr Ruby ★ 20 Compare ↗
#15,557 jsmecham/MatrixView JavaScript ★ 20 Compare ↗
#15,557 brennandunn/configurator Ruby ★ 20 Compare ↗
#15,557 jnunemaker/googlebase Ruby ★ 20 Compare ↗
#15,557 julik/herringbone Ruby ★ 20 Compare ↗
#15,653 feedbackmine/ferret_tokenizer This Project C ★ 19
#15,653 carldaws/hunch Ruby ★ 19 Compare ↗
#15,653 mojombo/fixture-scenarios Ruby ★ 19 Compare ↗
#15,653 mattfoster/gnuplot-tmbundle Ruby ★ 19 Compare ↗
#15,653 tenderlove/icanhasaudio C ★ 19 Compare ↗
#15,653 bart9h/cave9 C ★ 19 Compare ↗

Frequently Asked Questions

What does ferret_tokenizer do? +

A string tokenizer based on Ferret::Analysis::StandardAnalyzer.

What language is ferret_tokenizer written in? +

The primary language is C. Topics include: software.

Is ferret_tokenizer actively maintained? +

Yes, the last recorded push was on Jun 8, 2011 with 0 open issues being tracked.

How many stars does ferret_tokenizer have? +

ferret_tokenizer has 19 stars and 4 forks on GitHub.

How does ferret_tokenizer rank among GitHub repositories? +

With 19 stars, feedbackmine/ferret_tokenizer is ranked #15,653 globally across all repositories tracked on GitHubRepo and #290 among C projects.

What license is ferret_tokenizer distributed under? +

No SPDX license identified yet. Code without a license is subject to copyright by default.

From our network
FOR MAINTAINERS

Built something? Put it in front of millions of developers.

We make a short reel about your project and post it across YouTube, Instagram, Threads, and X. Send a link, we do the rest.