← Back to Leaderboard
Project comparison
Gpt Neox vs Dify
Compare adoption, momentum, maintenance health, and project basics before choosing which tool to evaluate deeper.
Gpt Neox
An implementation of model parallel autoregressive transformers on GPUs, based on the Megatron and DeepSpeed libraries
7.4K
Stars
0
Weekly
40/100
Health
Dify
Production-ready platform for agentic workflow development.
141.0K
Stars
+815
Weekly
97/100
Health
Quick Take
Adoption
Dify has the larger GitHub footprint with 141.0K stars.
Momentum
Dify is currently growing faster at +815 stars this week.
Maintenance
Dify has the stronger health score at 97/100.
Side-by-side Metrics
| Signal | Gpt Neox | Dify |
|---|---|---|
| GitHub stars | 7.4K | 141.0K |
| Weekly growth | 0 | +815 |
| Health score | 40 | 97 |
| Contributors | 135 | 1.3K |
| Commits per week | 0.0 | 124.9 |
| Open issues | 94 | 759 |
| Language | Python | TypeScript |
| License | Apache-2.0 | NOASSERTION |
| Last commit | 28d ago | 16h ago |
| Last release | v2.0 | 1.14.0 |
Weekly AI open-source movers
Get the fastest-growing projects, useful MCP servers, and technical reads in one weekly email.