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Project comparison
Ray vs Fastgpt
Compare adoption, momentum, maintenance health, and project basics before choosing which tool to evaluate deeper.
Ray
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
Best matched with other platform tools.
42.5K
Stars
+72
Weekly
76/100
Health
Fastgpt
FastGPT is a knowledge-based platform built on the LLMs, offers a comprehensive suite of out-of-the-box capabilities such as data processing, RAG retrieval, and visual AI workflow orchestration, letting you easily develop and deploy complex question-answering systems without the need for extensive setup or configuration.
Best matched with other platform tools.
29.1K
Stars
+1.1K
Weekly
92/100
Health
Quick Take
Adoption
Ray has the larger GitHub footprint with 42.5K stars.
Momentum
Fastgpt is currently growing faster at +1.1K stars this week.
Maintenance
Fastgpt has the stronger automated maintenance signal at 92/100. This is not a security or fit verdict.
Side-by-side evidence
Use these signals to narrow your choice, then confirm setup, license, and fit upstream.
| Signal | Ray | Fastgpt |
|---|---|---|
| Evidence status | Basic listing· 22h ago | Basic listing· 22h ago |
| GitHub stars | 42.5K | 29.1K |
| Weekly growth | +72 | +1.1K |
| Health score | Healthy76/100 |
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