Multiplatform plotting library based on the Grammar of Graphics
الميزات الرئيسية لـ jetbrains/lets-plot هي: Data Visualization, Visualization.
تشمل البدائل مفتوحة المصدر لـ jetbrains/lets-plot: bokeh/bokeh — Bokeh is a Python data visualization library and interactive plotting framework used to create high-performance… vega/altair — Altair is a declarative data visualization library for Python that generates Vega-Lite specifications. It functions as… has2k1/plotnine — Plotnine is a data visualization library for Python based on the Grammar of Graphics. It serves as a declarative… fastplotlib/fastplotlib — Next-gen fast plotting library running on WGPU using the pygfx rendering engine. districtdatalabs/yellowbrick — Yellowbrick is a machine learning visualization library and model diagnostic tool designed to analyze feature… contextlab/hypertools — A Python toolbox for gaining geometric insights into high-dimensional data.
Altair is a declarative data visualization library for Python that generates Vega-Lite specifications. It functions as a tool for mapping data to graphical marks using a high-level syntax, allowing users to describe the desired visual outcome instead of writing imperative drawing commands. The framework enables the creation of interactive charts and graphics, including linked views and filtered displays that respond to user input in real time. It supports the design of multi-view dashboards by combining visualizations into layered or faceted layouts. The library provides capabilities for sta
Bokeh is a Python data visualization library and interactive plotting framework used to create high-performance graphics and data dashboards that render in web browsers. It serves as a tool for generating standalone HTML documents, embedded components for digital notebooks, and full-stack web applications powered by a Python backend. The project distinguishes itself through its ability to handle large or streaming datasets while maintaining smooth interactivity. It enables linked brushing across multiple views, allowing data selected in one plot to automatically highlight corresponding data i
Plotnine is a data visualization library for Python based on the Grammar of Graphics. It serves as a declarative statistical plotting framework and multi-panel plotting engine, allowing users to create complex charts by mapping data variables to visual properties such as position, color, and size. The project is distinguished by its use of a layered composition model and a statistical transformation engine that performs aggregations and computations before rendering visuals. It features a comprehensive system for multi-panel faceting, which enables the splitting of a single visualization into
A Python toolbox for gaining geometric insights into high-dimensional data