MaximeRivest/tiny-classifiers
Train a 17M-parameter text classifier in a minute, with labels from a big AI model, and know when it beats an API. Recipe, tutorial, results on 10 tasks, phone trainer.
Star History
Momentum
+10
STARS · LAST 30 DAYS
1
PER DAY
#639
MOST-STARRED JavaScript
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +7 | +10 | +90 |
| Per day | 1 | 1 | 1 |
| Forks gained | +1 | +3 | +10 |
tiny-classifiers gained 10 stars in the last 30 days, about 1 a day, and now has 62. It is about 1 year old and has averaged roughly 62 stars a year. It ranks #639 among JavaScript repositories and #7,435 across all languages on GitHubRepo.
Trending Record
1
DAYS ON TRENDING
#6859
BEST RANK
Sep 28, 2026
FIRST APPEARANCE
Active
STATUS TODAY
tiny-classifiers has maintained a continuous presence across global trending indexes, peaking at #6859. Below is the 30-day activity profile:
💡 Overview
tiny-classifiers is an open-source project written in JavaScript: Train a 17M-parameter text classifier in a minute, with labels from a big AI model, and know when it beats an API. Recipe, tutorial, results on 10 tasks, phone trainer.
Engineered for speed, consistency, and developer ease, it solves common hurdles in JavaScript. 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 JavaScript 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
$ npm install tiny-classifiers
⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
Node.js >= 18 or modern Evergreen browser
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
tiny-classifiers coordinates its core functionality through a modular JavaScript 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 tiny-classifiers into JavaScript 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 tiny-classifiers using your package manager: `npm install tiny-classifiers`
Initialize your project workspace or configuration file for tiny-classifiers.
Import tiny-classifiers into your codebase or invoke it directly from your terminal.
Execute your test suite or run `tiny-classifiers --help` to verify successful setup.
👍 Strengths
⚠️ Considerations
⇄ Alternatives & Direct Competitors
👥 Who Should Use This
Developers and engineering teams building with JavaScript, seeking reliable, tested, and actively maintained tooling for production workloads.
🏆 Nearby in the Rankings
MaximeRivest/tiny-classifiers is currently ranked #7,435 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #7,421 | Aut0iq/Vici | JavaScript | ★ 63 | Compare ↗ |
| #7,421 | omacom/hype | C++ | ★ 63 | Compare ↗ |
| #7,421 | BeatAPI/awesome-jev | JavaScript | ★ 63 | Compare ↗ |
| #7,421 | milanofthe/sanity | TypeScript | ★ 63 | Compare ↗ |
| #7,421 | kurbaitaev/ghost-editor | JavaScript | ★ 63 | Compare ↗ |
| #7,435 | MaximeRivest/tiny-classifiers This Project | JavaScript | ★ 62 | |
| #7,435 | topfunky/google-checkout | Ruby | ★ 62 | Compare ↗ |
| #7,435 | tibbe/hyena | Haskell | ★ 62 | Compare ↗ |
| #7,435 | qcodo/qcodo | PHP | ★ 62 | Compare ↗ |
| #7,435 | darius/languagetoys | Python | ★ 62 | Compare ↗ |
| #7,435 | mdesjardins/buzzbird | JavaScript | ★ 62 | Compare ↗ |
Frequently Asked Questions
What does tiny-classifiers do? +
Train a 17M-parameter text classifier in a minute, with labels from a big AI model, and know when it beats an API. Recipe, tutorial, results on 10 tasks, phone trainer.
What language is tiny-classifiers written in? +
The primary language is JavaScript. Topics include: software.
Is tiny-classifiers actively maintained? +
Yes, the last recorded push was on Sep 27, 2026 with 0 open issues being tracked.
How many stars does tiny-classifiers have? +
tiny-classifiers has 62 stars and 4 forks on GitHub.
How does tiny-classifiers rank among GitHub repositories? +
With 62 stars, MaximeRivest/tiny-classifiers is ranked #7,435 globally across all repositories tracked on GitHubRepo and #639 among JavaScript projects.
What license is tiny-classifiers distributed under? +
The repository reports a MIT license. Always verify the repository LICENSE file for legal terms.