bqscales
Grammar of Graphics in Python.
Decision gist · record as of 2026-08-14
Yes, if you work in Jupyter notebooks and want a grammar-of-graphics approach to interactive visualization. The package has low install friction, permissive Apache 2.0 licensing, active maintenance, and no known vulnerabilities. It is a specialized tool for a specific use case, so install only if that matches your workflow.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Jupyter notebook or compatible environment; intended for interactive use within ipywidgets-based notebooks.
- Low install friction with a pure-Python wheel.
- Actively maintained as of 2026-08-05 with recent release activity.
License · maintenance · safety
permissive license (permissive) — Apache 2.0 permissive license allows commercial and derivative use with minimal restrictions—attribution and license inclusion required for distributions.
last release 2025-12-10 (247 days) · last repo commit 2026-08-05 · 7 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 210,236 downloads/mo, #9,500 on PyPI
Alternatives
Verify before relying
pip install bqscales
import bqscales
from ipywidgets import VBox
# Use bqscales with ipywidgets in Jupyter- Specific grammar-of-graphics API surface and how it differs from or complements existing visualization approaches
- Whether bqscales is actively used in production or remains a research/experimental project given low star count of 7
- Concrete examples of scale and aesthetic mapping functionality provided by the library
What it is and what it does
bqscales is a Python library that brings grammar-of-graphics principles to Jupyter-based interactive visualization. It integrates with the ipywidgets ecosystem and depends on numpy, traitlets, and traittypes—all standard Jupyter infrastructure—making it a natural fit for notebook-based data exploration and visualization workflows.
The library is designed for developers and data scientists working in Jupyter environments who want to build interactive visualizations using a grammar-of-graphics model. It has been actively maintained since its 2021 release, with recent updates as of 2025-12-10, and carries no known security vulnerabilities.
Use it for
- Build interactive exploratory visualizations in Jupyter notebooks using declarative scale and aesthetic mappings
- Compose reusable, layered graphics for data analysis using grammar-of-graphics principles within Jupyter
- Create linked, interactive multi-view dashboards in Jupyter combining ipywidgets with custom interactions
- Teach data visualization design using a grammar-of-graphics framework in notebook-based educational settings
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you work in Jupyter notebooks and want a grammar-of-graphics approach to interactive visualization.
The package has low install friction, permissive Apache 2.0 licensing, active maintenance, and no known vulnerabilities. It is a specialized tool for a specific use case, so install only if that matches your workflow.
Install
bqscales on PyPI
Before you install
Low install friction with a pure-Python wheel. Actively maintained as of 2026-08-05 with recent release activity.
Requires Jupyter notebook or compatible environment; intended for interactive use within ipywidgets-based notebooks.
License in practice
Apache 2.0 permissive license allows commercial and derivative use with minimal restrictions—attribution and license inclusion required for distributions.
Quickstart
pip install bqscales
import bqscales
from ipywidgets import VBox
# Use bqscales with ipywidgets in Jupyter
Verify before relying
- Specific grammar-of-graphics API surface and how it differs from or complements existing visualization approaches
- Whether bqscales is actively used in production or remains a research/experimental project given low star count of 7
- Concrete examples of scale and aesthetic mapping functionality provided by the library
Package facts
| License | permissive license permissive |
| Python support | Supports the current Python release >=3.6 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 4 packagesipywidgetsnumpytraitletstraittypes |
| Maintenance | Actively maintained 247 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 210,236 / month, #9,500 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
Evidence: bqscales-0.3.7-py3-none-any.whl
Tags
Let your AI agent find packages like this
Example. Real query, live index.
You found this page by searching. An agent finds it by wishing: SkillFed indexes 14,416 PyPI packages by what they can do, searchable in plain language.
wish › “interactive charts jupyter”
- bqscalesbqscales implements a grammar-of-graphics layer for creating…
- altairAltair is a declarative Python library for creating interactive…
- plotlyPlotly is an interactive, browser-based graphing library that creates…
Give your agent the search over MCP, or paste the wish link into any chat.
More Graphics packages
Pillow adds image processing capabilities to Python, providing file format support, efficient pixel data handling, and image manipulation operations.
Install it if you need to work with images in Python—it is the de facto standard for this task.
fonttools manipulates font files in multiple formats (TrueType, OpenType, AFM, Type 1, Mac-specific) and includes TTX, a tool to convert fonts to and from XML text format.
Install it if you need to read, write, or manipulate fonts programmatically or via the TTX command-line tool.
Enables matplotlib figures to display inline directly within Jupyter notebooks and IPython environments instead of in separate windows.
PyMuPDF extracts, renders, converts, and manipulates PDF and other document formats (XPS, EPUB, images, Office files via Pro) with high performance, providing text, tables, images, and metadata with precise layout information.
The AGPL license requires careful review if you are building proprietary software—commercial licensing is available from Artifex.
pypdfium2 is a Python binding to PDFium that enables PDF rendering, inspection, manipulation, and creation through a ctypes interface to Google's PDFium library.
Install it if you need PDF rendering, inspection, or manipulation in Python; the medium install friction is offset by comprehensive platform support.
Altair is a declarative Python library for creating interactive statistical visualizations by writing simple, readable code that compiles to Vega-Lite specifications.
See also bqplot · ipywidgets · ipytree · plotnine · ggplot · ipyvue · mizani · ipympl · jupyter-leaflet