Project comparison
Compare adoption, momentum, maintenance health, and project basics before choosing which tool to evaluate deeper.
Code for Machine Learning for Trading, 3rd edition — from data sourcing to live execution.
Best matched with other agent tools.
The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.
Best matched with other agent tools.
ECC has the larger GitHub footprint with 252.1K stars.
ECC is currently growing faster at +52.6K stars this week.
ECC has the stronger automated maintenance signal at 95/100. This is not a security or fit verdict.
Use these signals to narrow your choice, then confirm setup, license, and fit upstream.
| Signal | Machine Learning For Trading | ECC |
|---|---|---|
| Evidence status | Basic listing· 15h ago | Recently verified· 15h ago |
| GitHub stars | 20.1K | 252.1K |
| Weekly growth | +99 | +52.6K |
| Health score | Healthy64/100 |
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| Contributors | 16 | 295 |
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| Commits per week | 5.5 | 62.2 |
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| Open issues | 1 | 105 |
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| Language | Jupyter Notebook | JavaScript |
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| License | MIT | MIT |
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| Last commit | 1mo ago | 16h ago |
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| Last release | v3.0.0-artifacts | v2.0.0 |
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