Version 1.24.3
0
85
ExcellentONNXRuntime Node.js binding
- Weekly Downloads
- 1.4M
↑19%
- Bundle (gzip)
- 63.0 MB
- Updated
- Vulns
- 0
Health Score Breakdown
Maintenance
100
Popularity
100
Quality
50
Security
100
Stability
70
Onnxruntime-node vs Tensorflow
Side-by-side NPM package comparison
Quick Verdict
Onnxruntime-node leads across all categories in this comparison. Check the detailed metrics below to see how each package performs for your specific needs.
Version 0.7.0
0
45
FairNode.js module for using TensorFlow graphs and models
- Weekly Downloads
- 195
↑81%
- Bundle (gzip)
- 0 B
- Updated
- Vulns
- 0
Health Score Breakdown
Maintenance
20
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 1.4M weekly downloads — roughly 7102.9x more. Tensorflow has 195 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 63.0 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 85/100 (very good), with strong maintenance, security, popularity scores. Tensorflow has an overall health score of 45/100 (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 large community support, 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 (85/100), 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 85/100 while Tensorflow scores 45/100. Onnxruntime-node has more weekly downloads (1.4M), 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 1.4M weekly downloads and Tensorflow has approximately 195 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 85/100. Onnxruntime-node has a maintenance score of 100/100 and Tensorflow scores 20/100 on maintenance.
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