ray vs DeepSpeed

Real adoption data from 297 days of tracking. Updated 2026-09-04.

Quick Take

Both are growing at similar rates (~0.1%)

Based on 297 days of tracking, both tools show similar growth patterns.

📊 Head to Head

Total Stars
⭐ 43.7k
⭐ 43.1k
Growth Rate
↑0.1%
↑0.1%
Stars Gained
+3.9k
+2.4k

📈 Star Growth Over Time

Based on 297 days of RepoPi snapshots

● ray ● DeepSpeed

🔍 At a Glance

ray
DeepSpeed
Language
Python
Python
Stars
43.7k
43.1k
Growth (297d)
+9.9%
+5.9%
Primary Topics
data-science, deep-learning, deployment
billion-parameters, compression, data-parallelism

Choose ray when...

  • You work primarily in the Python ecosystem
  • You need data-science, deep-learning capabilities
  • You value a large, active community (43.7k+ stars)
  • You prefer a project with proven momentum (+9.9% tracked growth)
Full ray analysis →

Choose DeepSpeed when...

  • You work primarily in the Python ecosystem
  • You need billion-parameters, compression capabilities
  • You value a large, active community (43.1k+ stars)
  • You prefer a project with proven momentum (+5.9% tracked growth)
Full DeepSpeed analysis →