huggingface/tokenizers
๐ฅ Fast State-of-the-Art Tokenizers optimized for Research and Production
โก Executive Summary & Quick Facts
Authoritative Sourcetokenizers is tokenizers is an open-source project written in Rust: ๐ฅ Fast State-of-the-Art Tokenizers optimized for Research and Production..
| Repository | huggingface/tokenizers โ |
|---|---|
| Primary Category | bert |
| Language & Stack | Rust |
| Software License | Apache-2.0 |
| Community Traction | โ 11.2K stars ยท โ 1.2K forks ยท #1,342 globally |
| Maintenance | โ Active (Last commit: Oct 23, 2026) ยท 189 open issues |
| Target Audience | Developers and engineering teams building with Rust, seeking reliable, tested, and actively maintained tooling for production workloads. |
Star History
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+280
STARS ยท LAST 30 DAYS
9
PER DAY
#148
MOST-STARRED Rust
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +3 | +280 | +810 |
| Per day | 1 | 9 | 9 |
| Forks gained | +2 | +25 | +62 |
tokenizers gained 280 stars in the last 30 days, about 9 a day, and now has 11.2K. It is about 7 years old and has averaged roughly 1.6K stars a year. It ranks #148 among Rust repositories and #1,342 across all languages on GitHubRepo.
Trending Record
7
DAYS ON TRENDING
#5689
BEST RANK
Oct 21, 2026
FIRST APPEARANCE
Active
STATUS TODAY
tokenizers has maintained a continuous presence across global trending indexes, peaking at #5689. Below is the 30-day activity profile:
๐ก Overview
tokenizers is an open-source project written in Rust: ๐ฅ Fast State-of-the-Art Tokenizers optimized for Research and Production.
Engineered for speed, consistency, and developer ease, it solves common hurdles in bert, gpt, language-model. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.
โก Key Features
Optimized execution pipeline written in Rust 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.
๐ฅ Installation
$ cargo install tokenizersโ System Requirements
Platforms
- โข macOS
- โข Linux
- โข Windows
Runtime & Dependencies
Rust toolchain (rustc / cargo >= 1.70)
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
๐ง How It Works
tokenizers coordinates its core functionality through a modular Rust 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.
๐ฏ Production Use Cases
Autonomous AI Agents
Orchestrate intelligent workflows and tool-calling routines with tokenizers.
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.
๐ Getting Started
Install tokenizers using your package manager: `cargo install tokenizers`
Initialize your project workspace or configuration file for tokenizers.
Import tokenizers into your codebase or invoke it directly from your terminal.
Execute your test suite or run `tokenizers --help` to verify successful setup.
๐ Strengths
โ ๏ธ Considerations
โ Alternatives & Direct Competitors
๐ฅ Who Should Use This
Developers and engineering teams building with Rust, seeking reliable, tested, and actively maintained tooling for production workloads.
๐ Nearby in the Rankings
huggingface/tokenizers is currently ranked #1,342 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #1,337 | microsoft/winget-pkgs | โ | โ 11.2K | Compare โ |
| #1,338 | baldurk/renderdoc | C++ | โ 11.2K | Compare โ |
| #1,339 | mui/base-ui | TypeScript | โ 11.2K | Compare โ |
| #1,340 | google/osv-scanner | Go | โ 11.2K | Compare โ |
| #1,341 | openai/openai-node | TypeScript | โ 11.2K | Compare โ |
| #1,342 | huggingface/tokenizers This Project | Rust | โ 11.2K | |
| #1,343 | tweepy/tweepy | Python | โ 11.2K | Compare โ |
| #1,344 | tambo-ai/tambo | TypeScript | โ 11.2K | Compare โ |
| #1,345 | voxel51/fiftyone | TypeScript | โ 11.2K | Compare โ |
| #1,346 | dmtrKovalenko/fff | Rust | โ 11.2K | Compare โ |
| #1,347 | mRemoteNG/mRemoteNG | C# | โ 11.2K | Compare โ |
Frequently Asked Questions
What does tokenizers do? +
๐ฅ Fast State-of-the-Art Tokenizers optimized for Research and Production
What language is tokenizers written in? +
The primary language is Rust. Topics include: bert, gpt, language-model, natural-language-processing, natural-language-understanding.
Is tokenizers actively maintained? +
Yes, the last recorded push was on Oct 23, 2026 with 189 open issues being tracked.
How many stars does tokenizers have? +
tokenizers has 11,192 stars and 1,233 forks on GitHub.
How does tokenizers rank among GitHub repositories? +
With 11,192 stars, huggingface/tokenizers is ranked #1,342 globally across all repositories tracked on GitHubRepo and #148 among Rust projects.
What license is tokenizers distributed under? +
The repository reports a Apache-2.0 license. Always verify the repository LICENSE file for legal terms.
