Onnxruntime-node vs Tensorflow

Side-by-side NPM package comparison

onnxruntime-node

Popular

Version 1.24.2

83
Excellent

ONNXRuntime Node.js binding

Weekly Downloads
927.0K
↑56%
Bundle (gzip)
62.9 MB
Updated
Vulns
0

Health Score Breakdown

Maintenance
100
Popularity
90
Quality
50
Security
100
Stability
70

tensorflow

Niche

Version 0.7.0

51
Fair

Node.js module for using TensorFlow graphs and models

Weekly Downloads
253
↑41%
Bundle (gzip)
0 B
Updated
Vulns
0

Health Score Breakdown

Maintenance
40
Popularity
20
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 leads with 927.0K weekly downloads — roughly 3663.9x more. Tensorflow has 253 weekly downloads. Higher download counts generally indicate broader community adoption and a larger ecosystem of tutorials, plugins, and support.

Bundle Size

Tensorflow has the smallest gzipped bundle at 0 B. Onnxruntime-node comes in at 62.9 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 83/100 (very good), with strong maintenance, security, popularity scores. Tensorflow has an overall health score of 51/100 (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 (83/100), 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 83/100 while Tensorflow scores 51/100. Onnxruntime-node has more weekly downloads (927.0K), 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 0 B. 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 927.0K weekly downloads and Tensorflow has approximately 253 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 83/100. Onnxruntime-node has a maintenance score of 100/100 and Tensorflow scores 40/100 on maintenance.