For financial data and trading work, the hard part is not just finding a library or platform; it is judging whether the project looks maintained enough to depend on. This June 2026 ToolVitals dataset compares open/source-visible Financial Data & Trading Tools using supplied health, shipping, openness, license, GitHub star, and ToolVitals score fields.
The ranking includes open/source-visible tools only and is ordered by ToolVitals score first, with GitHub stars used as the secondary popularity signal for ties. Every listed tool here is labeled OSI-approved OSS, but licenses still differ, including LGPL-3.0, Apache-2.0, MIT, and AGPL-3.0.
Rankings
| Rank | Tool | Openness | License | Health | Shipping | GitHub Stars | Score | Status |
|---|---|---|---|---|---|---|---|---|
| 1 | Nautilus Trader | OSI-approved OSS | LGPL-3.0 | 92 | 87 | 23594 | 92 | 🟢 Excellent |
| 2 | QuantDinger | OSI-approved OSS | Apache-2.0 | 78 | 100 | 8070 | 88 | 🟢 Excellent |
| 3 | AKQuant | OSI-approved OSS | MIT | 77 | 93 | 1524 | 87 | 🟢 Excellent |
| 4 | StakTrakr | OSI-approved OSS | MIT | 79 | 88 | 6 | 86 | 🟢 Excellent |
| 5 | Hikyuu | OSI-approved OSS | Apache-2.0 | 78 | 84 | 3255 | 85 | 🟢 Excellent |
| 6 | FinMind | OSI-approved OSS | Apache-2.0 | 86 | 55 | 2647 | 79 | 🟢 Good |
| 7 | TradeClaw | OSI-approved OSS | MIT | 71 | 71 | 32 | 79 | 🟢 Good |
| 8 | FinanceToolkit | OSI-approved OSS | MIT | 72 | 71 | 4968 | 77 | 🟢 Good |
| 9 | TradingGoose Studio | OSI-approved OSS | AGPL-3.0 | 76 | 63 | 109 | 77 | 🟢 Good |
| 10 | Lean Algorithmic Trading | OSI-approved OSS | Apache-2.0 | 77 | 56 | 19924 | 76 | 🟢 Good |
| 11 | OpenBB | OSI-approved OSS | AGPL-3.0 | 78 | 49 | 69234 | 74 | 🟢 Good |
| 12 | vectorbt | OSI-approved OSS | Apache-2.0 | 74 | 46 | 7938 | 72 | 🟢 Good |
| 13 | Gold Prices | OSI-approved OSS | Apache-2.0 | 56 | 69 | 2 | 70 | 🟢 Good |
| 14 | StockSharp | OSI-approved OSS | Apache-2.0 | 67 | 51 | 10122 | 67 | 🟢 Good |
| 15 | FinanceMCP | OSI-approved OSS | MIT | 62 | 36 | 602 | 63 | 🟢 Good |
| 16 | vn.py | OSI-approved OSS | MIT | 51 | 36 | 41679 | 56 | 🟡 Fair |
| 17 | OpenStock | OSI-approved OSS | AGPL-3.0 | 66 | 21 | 13251 | 56 | 🟡 Fair |
| 18 | FinRobot | OSI-approved OSS | Apache-2.0 | 53 | 24 | 7284 | 56 | 🟡 Fair |
| 19 | VibeTrader | OSI-approved OSS | Apache-2.0 | 38 | 23 | 49 | 46 | 🟡 Fair |
| 20 | AnyAI | OSI-approved OSS | MIT | 38 | 7 | 81 | 41 | 🟡 Fair |
| 21 | Multi-Agent AI Finance Assistant | OSI-approved OSS | MIT | 38 | 7 | 23 | 40 | 🟡 Fair |
| 22 | TradeApe | OSI-approved OSS | AGPL-3.0 | 38 | 11 | 4 | 40 | 🟡 Fair |
| 23 | pybroker | OSI-approved OSS | Apache-2.0 | 29 | 10 | 3426 | 37 | 🔴 Needs Attention |
| 24 | Trading Buddy | OSI-approved OSS | MIT | 31 | 0 | 14 | 36 | 🔴 Needs Attention |
| 25 | Kand | OSI-approved OSS | Apache-2.0 | 30 | 0 | 553 | 33 | 🔴 Needs Attention |
| 26 | GraphVega | OSI-approved OSS | MIT | 28 | 0 | 296 | 31 | 🔴 Needs Attention |
Top 3 Highlights
Nautilus Trader ranks first with a ToolVitals score of 92, a health score of 92, and a shipping score of 87. It is described as a production-grade Rust-native trading engine with a deterministic event-driven architecture, and it has 23,594 GitHub stars. Its openness_label is OSI-approved OSS and its license_label is LGPL-3.0.
QuantDinger ranks second with a ToolVitals score of 88 and the strongest shipping score in the dataset at 100. Its health score is 78, and it has 8,070 GitHub stars. It is positioned as an AI-driven quantitative trading platform for crypto, stocks, and forex, with openness_label OSI-approved OSS and license_label Apache-2.0.
AKQuant ranks third with a ToolVitals score of 87, a health score of 77, and a shipping score of 93. It is described as a quantitative research and trading framework for stock and crypto markets. It has 1,524 GitHub stars, openness_label OSI-approved OSS, and license_label MIT.
Want to see the full health, shipping, openness, and evidence details for every tool in Financial Data & Trading? Browse all Financial Data & Trading Tools →