Matplotlib

XY is an open-source Python charting library for web applications, notebooks, and static exports. It supports declarative charts and matplotlib-style conventions, with customization through Python, CSS, or Tailwind; outputs include HTML, PNG, SVG, and PDF. For small charts, XY sends individual points to the browser. For large datasets, its Rust core computes the data needed for the current screen resolution and can represent the result as a density surface. Panning, zooming, hovering, and selections rerun the process for the visible range, while selections can return the original data rows. The library is installable with pip or uv and supports interactions such as pan, zoom, hover, crosshairs, callbacks, and linked charts, along with layers, facets, responsive layouts, themes, axes, legends, and tooltips. The repository describes XY as an alpha project and notes that its matplotlib compatibility does not yet cover all charts and functionality.

Project Jupyter is an open-source web-based interactive computing platform centered on notebooks and computational kernels. JupyterLab provides a configurable interface for notebooks, code, and data, while the classic Jupyter Notebook offers a document-oriented web application for creating and sharing computational documents. Notebooks combine executable code with narrative text, equations, visualizations, and rich outputs, and use a JSON-based document format; kernels run code in a selected programming language and communicate with the notebook through a JSON-based interactive computing protocol over ZeroMQ and WebSockets. Jupyter supports more than 40 languages, including Python, R, Julia, and Scala, and includes JupyterHub for centrally deployed multi-user environments and Voilà for turning notebooks into stand-alone web applications.

Streamlit is an open-source Python framework for turning scripts into interactive web apps without separately building an API or a JavaScript and HTML application. It supports dashboards, reports, chat apps, input widgets, dataframes, charts, layouts, and multipage apps; developers run an app with the `streamlit run` command and can extend it with Streamlit Components. The project also provides Community Cloud for deploying, managing, and sharing apps. It is free software licensed under the Apache 2.0 license.

pandas is an open-source Python package for working with relational and labeled data through mutable DataFrame and related data structures. It supports missing-data handling, automatic or explicit label alignment, group-by split-apply-combine operations, indexing and slicing, merging and joining, reshaping and pivoting, hierarchical labels, and time-series operations such as date-range generation, frequency conversion, and rolling-window statistics. Its I/O tools load data from CSV and other delimited files, Excel, and databases, and support saving to and loading from HDF5; it is distributed through PyPI and Conda.

ManimGL is an open-source Python animation engine for creating precise programmatic animations, particularly explanatory mathematics videos. Scenes can contain shapes, equations, and transformations and can be rendered to video or displayed in an OpenGL window. This repository is the original Manim project created by the author of 3Blue1Brown; it is distinct from the later Manim Community Edition. The package is installed as `manimgl`, runs on Python 3.10 or higher, and uses FFmpeg and OpenGL, with LaTeX optional for LaTeX rendering.