krassowski

JupyterLab 4.6.3 with ipywidgets 8.1.9 and ipykernel 7.0.2

krassowski

Theme	People	What might help today
Performance with large data	15	Recent versions of JupyterLab/Notebook improve UI performance. Large outputs freezing the browser can be prevented by using visualisation and tabulation libraries that make use of rasterization and canvas renderers (e.g. plotly, ipydatagrid or newcomers like xy). Third-party extensions streamline work with large dataset in dedicated big data formats (e.g. jupyterlab-h5web for HDF5, NeXus, ANNData, etc; Arbalister for Parquet, CSV, Avro, ORC, SQLite, Arrow IPC).
Documentation and discoverability	14	Jupyter documentation and Discourse. We are aware that changelogs and breaking-change notes are missing or inconsistent across subprojects, and this needs addressing.

krassowski

JupyterLab 4.6.3 with jupyterlab-execute-time

krassowski

JupyterLab 4.6.3

krassowski

JupyterLab 4.7.0a1

krassowski

JupyterLab 4.5.10

krassowski

JupyterLab 4.6.2

krassowski

jupytext + coconut

krassowski

JupyterLab 4.7.0a0

krassowski

JupyterLab 4.6.1