Yesterday we told you how we had integrated #PyGWalker, an #OpenSource data analysis and visualisation tool for #Jupyter, into our #OnesaitPlatform #Notebooks. We told you about it on our blog 📝⬇️ blog.onesaitplatform.com/en/2024/10/28/…

I just discovered PygWalker and this python package is insane. It's an embedded BI tool powered by DuckDB and WASM for use in Jupyter notebooks. All it takes is a dataframe and you can pivot the data for ad-hoc analysis in your notebook.

今日からようやく工数予測AIモデル作成に着手。 最初のステップはデータの傾向分析からなのだが、PyGWalker（ピッグウォーカー）がかなり有用。普通はExcelピボットやTableauやLookerStudioなど使うのが一般的だが、下準備がほぼ不要で助かる👍。↓はGoogle Colaboratoryで動かしたイメージ。

#PyGWalker es una útil herramienta para el análisis y visualización de datos para #Jupyter que convierte los #DataFrames de #Pandas en una interfaz de usuario interactiva para la exploración visual. Os lo contamos en el blog 📝⬇️ blog.onesaitplatform.com/2024/10/28/int…

EDA Reimagined in R: GWalkR + DuckDB for Lightning-Fast Visualizations medium.com/@bruceyu0416/e…

Working on a new plugin system allowing developers to customize the chart renderer in graphic-walker. Example of using Observable plot for charts. I'm planing to make graphic-walker/pygwalker to be an interactive data exploration wrapper on any plot lib.

panel-graphic-walker from Panel is trending on HN🔥🔥 A project providing a Graphic Walker Pane for use with HoloViz Panel. github.com/panel-extensio…

Latest trending data about python data visualization is out. Check which python library is most popular for data visualization 👉

No1. Most fast growing data visualization library: PyGWalker built by kanaries. 5200+ new stars in 2024. It can turn your dataframe into a "tableau" UI for data visualization. You can make charts with simple drag and drop in your jupyter notebook github.com/Kanaries/pygwa…

I'm working on a Code Agent for Jupyter users. It can understand what's happening in your Jupyter notebook, including your charts, dataframes, and errors, and automatically take actions to achieve your goal. It's Jupyter Native and works as an extension in your Jupyter. Feel

Runcell is now open for beta. A Jupyter native AI Code Agent, in your jupyter lab, it can understand your notebook, data, context and automate generate code and analysis cell results for you. Install the extension for your jupyter at runcell.dev

Formally Introducing Runcell: An AI Agent for JupyterLab that understands Jupyter cells, writes code, executes code, and debugs for you. You can use it by simply running pip install runcell and using it in your Jupyter environment. Learn more about runcell at

There is something special – far more rewarding than money – about working with an epic team to make breakthroughs