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@@ -284,9 +284,10 @@ Note: the one marked as `Live Trading` has reasonable live trading support for a
## Visualization
- [Matplotlib](https://github.com/matplotlib/matplotlib) | `Python` | - matplotlib: plotting with Python
- [pylatex](https://github.com/JelteF/PyLaTeX/) | `Python` | - A Python library for creating LaTeX files
- [Dash](https://github.com/plotly/dash) | `Python` | - Data Apps & Dashboards for Python. No JavaScript Required.
- [Perspective](https://github.com/finos/perspective) | `C++`, `Python` | - A data visualization and analytics component, especially well-suited for large and/or streaming datasets.
- [Streamlit](https://github.com/streamlit/streamlit) | `Python` | - Streamlit — A faster way to build and share data apps.
- [pylatex](https://github.com/JelteF/PyLaTeX/) | `Python` | - A Python library for creating LaTeX files
- [D-Tale (Man Group)](ht：tps://github.com/man-group/dtale) | `JavaScript`, `Python` | - D-Tale is the combination of a Flask back-end and a React front-end to bring you an easy way to view & analyze Pandas data structures.
- [mplfinance](https://github.com/matplotlib/mplfinance) | `Python` | - Financial Markets Data Visualization using Matplotlib
- [btplotting](https://github.com/happydasch/btplotting) | `Python`, `bokeh` | - btplotting provides plotting for backtests, optimization results and live data from backtrader.