funNLP vs PyTorch

The best value in each numeric row is marked. Sponsorship has no effect on any of them.

Comparison of funNLP vs PyTorch
Criteria funNLP
252 48.5 =
PyTorch
13 95.9 =
Score 48.5 95.9 (best)
Release freshness 0.0 100.0 (best)
Adoption signals 82.0 83.6 (best)
Release freshness
Stale: 878 days without a release
Updated 16 days ago
Latest version v1.0.0 · 2024-05-10197412 · 2026-09-19
Pricing FreeFree
License Open sourceOpen source
Platforms
Linux ✓ ✓
API only ✓ ✓
Web ✓ -
macOS - ✓
Windows - ✓
Features
Integrations
Rank receipt: funNLP
#252 overall · #7 in category
48.5/100
  1. Platform readiness +28.0 70.0 × 40%
  2. Release freshness +0.0 0.0 × 35%
  3. Adoption signals +20.5 82.0 × 25%
Data from GitHub Last sync Computed on Sponsorship weight 0%, never counted Read the full formula
Rank receipt: PyTorch
#13 overall · #2 in category
95.9/100
  1. Platform readiness +40.0 100.0 × 40%
  2. Release freshness +35.0 100.0 × 35%
  3. Adoption signals +20.9 83.6 × 25%
Data from GitHub Last sync Computed on Sponsorship weight 0%, never counted Read the full formula

Component values are before weighting. Read the full formula