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TradingAgentsvsvLLM

Two self-hosted projects, compared on the numbers selfhost.directory tracks live: score, popularity, release cadence and setup effort.

TradingAgentsvLLM
Score86/10091/100
Rank in category#4 of 209 in AI Agents#3 of 25 in LLM Inference
GitHub stars117 65595 756
Stars, last 30 days+5 296+3 204
Stable releases, 12 months1114
Latest releasev0.7.1 · 27 Oct 2026v0.32.0 · 17 Oct 2026
SetupModerateModerate
Official Docker imageNoYes
LicenseApache-2.0Apache-2.0
Main languagePythonPython

Which one should you pick?

vLLM scores 91/100 against 86/100 for TradingAgents, so it is the safer default.

vLLM ships more often: 14 stable releases in the past year, against 11 for TradingAgents.

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