# llama.cpp vs TradingAgents

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

| | llama.cpp | TradingAgents |
|---|---|---|
| Score | 93/100 ✓ | 86/100 |
| Rank in category | #2 of 25 in LLM Inference | #4 of 209 in AI Agents |
| GitHub stars | 132 607 ✓ | 117 655 |
| Stars, last 30 days | +3 250 | +5 296 ✓ |
| Stable releases, 12 months | 1453 ✓ | 11 |
| Latest release | v0.8.0 · 28 Oct 2026 ✓ | v0.7.1 · 27 Oct 2026 |
| Setup | Moderate ✓ | Moderate |
| Official Docker image | Yes ✓ | No |
| License | MIT | Apache-2.0 |
| Main language | C++ | Python |

## Which one should you pick?

llama.cpp scores 93/100 against 86/100 for TradingAgents, so it is the safer default.

llama.cpp ships more often: 1453 stable releases in the past year, against 11 for TradingAgents.

## Details

- [llama.cpp](https://selfhost.directory/project/llamacpp) (markdown: https://selfhost.directory/project/llamacpp.md)
- [TradingAgents](https://selfhost.directory/project/tradingagents) (markdown: https://selfhost.directory/project/tradingagents.md)

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Source: https://selfhost.directory/compare/llamacpp-vs-tradingagents