| Price from | Free | Free |
| Free plan | Yes | Yes |
| Free trial | — | — |
| Open source | — | — |
| Web | Yes | Yes |
| Windows | Yes | Yes |
| macOS | Yes | Yes |
| Linux | Yes | Yes |
| iOS | — | Yes |
| Android | — | Yes |
| Self-hosted | — | Yes |
| Plans published | 1 | 1 |
| Spec score · Data Visualization Libraries Software | 8.4 (#5) | 7.8 (#11) |
| Spec score · Data Visualization Software | 8.3 (#32) | 8.1 (#43) |
| Data sources | Python lists,NumPy arrays,ColumnDataSource,pandas DataFrames,Polars DataFrames,PyArrow DataFrames,pandas GroupBy objects,REST endpoints | Supported reader/writer file formats include DICOM,BMP,FLUENT,CGNS,and LIDAR formats (among others). |
| Free plan | Yes | Yes |
| Integrations | The site describes using Bokeh in Jupyter and mounting it in FastAPI, Starlette, Django, or another ASGI app served with Uvicorn or Hypercorn. | VTK interoperates with Python and Matplotlib, and its documentation covers use with Jupyter, C++, CMake, JavaScript, and WebAssembly. |
| License | The project describes Bokeh as BSD licensed. | VTK is distributed under the OSI-approved BSD 3-clause License, and the project says it is free to use for any purpose. |
| Platform | web_and_desktop | web_and_desktop |
| Support | Support is volunteer-based, and the project directs usage questions to its public Discourse forum. | The project directs users to its Discourse forum and public issue tracker, and lists Kitware consulting for commercial or confidential assistance. |
