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Comparison guide

Onnxruntime-node vs Tensorflow

Side-by-side NPM package comparison

Hero image for Onnxruntime-node vs Tensorflow

Quick Verdict

Smallest Bundle

Tensorflow

23.7 KB gzipped

Most Popular

Onnxruntime-node

0 weekly downloads

Best Maintained

Onnxruntime-node

100/100 maintenance score

Highest Quality

Onnxruntime-node

50/100 quality score

Overall Pick

Tensorflow

Best all-around based on popularity, size, maintenance & quality

Version 1.29.0

0
67
Good

ONNXRuntime Node.js binding

Weekly Downloads
0

Trend data unavailable

Bundle (gzip)
84.8 MB
Updated
Vulns
0

Health Score Breakdown

Maintenance
100
Popularity
10
Quality
50
Security
100
Stability
70

Version 0.7.0

0
43
Fair

Node.js module for using TensorFlow graphs and models

Weekly Downloads
0

Trend data unavailable

Bundle (gzip)
23.7 KB
Updated
Vulns
0

Health Score Breakdown

Maintenance
20
Popularity
10
Quality
50
Security
100
Stability
70

Choosing between Onnxruntime-node and Tensorflow? 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.

Downloads & Popularity

Onnxruntime-node and Tensorflow both have 0 weekly downloads, indicating equal adoption in the ecosystem.

Bundle Size

Tensorflow has the smallest gzipped bundle at 23.7 KB. Onnxruntime-node comes in at 84.8 MB. A smaller bundle size means faster page loads, which improves user experience and Core Web Vitals scores.

Health Score Comparison

Onnxruntime-node has an overall health score of 67/100 (good), with strong maintenance, security scores. Tensorflow has an overall health score of 43/100 (moderate), with strong security scores. Health scores are calculated from maintenance activity, code quality, security posture, popularity, and stability metrics.

When to Choose Each

Choose Onnxruntime-node if you value actively maintained, strong security track record. Choose Tensorflow if you value strong security track record.

Our Verdict

Both Onnxruntime-node and Tensorflow are solid choices for JavaScript development. Onnxruntime-node 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.

Frequently Asked Questions

Is onnxruntime-node better than tensorflow?
It depends on your needs. Onnxruntime-node has a health score of 67/100 while Tensorflow scores 43/100. Onnxruntime-node has more weekly downloads (0), suggesting broader adoption. Consider your specific requirements — bundle size, community support, and feature set — to decide which is the better fit.
Which has a smaller bundle size, onnxruntime-node or tensorflow?
Tensorflow has the smaller gzipped bundle at 23.7 KB. A smaller bundle means faster load times for your users, which can positively impact SEO and user experience.
How many developers use onnxruntime-node vs tensorflow?
Based on npm download statistics, Onnxruntime-node has approximately 0 weekly downloads and Tensorflow has approximately 0 weekly downloads. These numbers reflect package installations, not unique developers, but they indicate relative adoption levels.
Which is better maintained, onnxruntime-node or tensorflow?
Onnxruntime-node currently has the higher overall health score at 67/100. Onnxruntime-node has a maintenance score of 100/100 and Tensorflow scores 20/100 on maintenance.

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