| naptha/tesseract.js |
32,523 |
|
221 |
224 |
about 2 years ago |
66 |
October 30, 2023 |
19 |
apache-2.0 |
JavaScript |
| Pure Javascript OCR for more than 100 Languages 📖🎉🖥 |
| yewstack/yew |
29,351 |
|
42 |
202 |
about 2 years ago |
38 |
September 29, 2023 |
161 |
apache-2.0 |
MDX |
| Rust / Wasm framework for creating reliable and efficient web applications |
| OpenBB-finance/OpenBBTerminal |
25,416 |
|
0 |
5 |
about 2 years ago |
34 |
November 30, 2023 |
283 |
mit |
Python |
| Investment Research for Everyone, Everywhere. |
| vnpy/vnpy |
22,695 |
|
0 |
0 |
about 2 years ago |
1 |
March 29, 2016 |
7 |
mit |
Python |
| 基于Python的开源量化交易平台开发框架 |
| plotly/dash |
19,976 |
|
804 |
639 |
about 2 years ago |
174 |
November 28, 2023 |
815 |
mit |
Python |
| Data Apps & Dashboards for Python. No JavaScript Required. |
| AI4Finance-Foundation/FinGPT |
18,673 |
|
0 |
0 |
2 months ago |
2 |
October 20, 2023 |
57 |
mit |
Jupyter Notebook |
| FinGPT: Open-Source Financial Large Language Models! Revolutionize 🔥 We release the trained model on HuggingFace. |
| less/less.js |
16,976 |
|
138,501 |
37,464 |
about 2 years ago |
131 |
August 05, 2023 |
202 |
apache-2.0 |
JavaScript |
| Less. The dynamic stylesheet language. |
| diem/diem |
16,685 |
|
0 |
67 |
about 2 years ago |
12 |
August 23, 2022 |
367 |
apache-2.0 |
Rust |
| Diem’s mission is to build a trusted and innovative financial network that empowers people and businesses around the world. |
| wilsonfreitas/awesome-quant |
14,931 |
|
0 |
0 |
about 2 years ago |
0 |
|
11 |
|
Python |
| A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance) |
| microsoft/qlib |
13,295 |
|
0 |
1 |
about 2 years ago |
32 |
July 18, 2023 |
193 |
mit |
Python |
| Qlib is an AI-oriented quantitative investment platform that aims to realize the potential, empower research, and create value using AI technologies in quantitative investment, from exploring ideas to implementing productions. Qlib supports diverse machine learning modeling paradigms. including supervised learning, market dynamics modeling, and RL. |
