A pure JavaScript implementation of a BPE tokenizer (Encoder/Decoder) for GPT-2 / GPT-3 / GPT-4 and other OpenAI models
- Weekly Downloads
- 746.0K
- Bundle (gzip)
- 1011.3 KB
- Updated
- Vulns
- 0
Comparison guide
Side-by-side NPM package comparison
Smallest Bundle
Gpt-tokenizer
1011.3 KB gzipped
Most Popular
Js-tiktoken
5.4M weekly downloads
Best Maintained
Gpt-tokenizer
40/100 maintenance score
Highest Quality
Gpt-tokenizer
50/100 quality score
Overall Pick
Js-tiktoken
Best all-around based on popularity, size, maintenance & quality
A pure JavaScript implementation of a BPE tokenizer (Encoder/Decoder) for GPT-2 / GPT-3 / GPT-4 and other OpenAI models
JavaScript port of tiktoken
Choosing between Gpt-tokenizer and Js-tiktoken? Here's a data-driven comparison based on real npm data — downloads, bundle size, health scores, and more — to help you decide which package fits your project best.
Js-tiktoken leads with 5.4M weekly downloads — roughly 7.2x more. Gpt-tokenizer has 746.0K weekly downloads. Higher download counts generally indicate broader community adoption and a larger ecosystem of tutorials, plugins, and support.
Gpt-tokenizer has the smallest gzipped bundle at 1011.3 KB. Js-tiktoken comes in at 6.4 MB. A smaller bundle size means faster page loads, which improves user experience and Core Web Vitals scores.
Js-tiktoken has an overall health score of 67/100 (good), with strong security, popularity scores. Gpt-tokenizer has an overall health score of 65/100 (good), with strong security, popularity scores. Health scores are calculated from maintenance activity, code quality, security posture, popularity, and stability metrics.
Choose Gpt-tokenizer if you value strong security track record. Choose Js-tiktoken if you value large community support, strong security track record.
Both Gpt-tokenizer and Js-tiktoken are solid choices for JavaScript development. Js-tiktoken has the edge in overall health score (67/100), while each package brings unique strengths to the table. Evaluate them based on your project's priorities — whether that's community size, bundle efficiency, or maintenance activity — and choose the one that aligns best with your requirements.
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