BioRender
A web-based illustration platform with life-science icons and templates for figures, mechanisms, posters, and graphical abstracts.
RESEARCH CATEGORY
Create research figures, diagrams, and data graphics. The database currently includes 30 tools, models, databases, or infrastructure entries in this category.
A web-based illustration platform with life-science icons and templates for figures, mechanisms, posters, and graphical abstracts.
A desktop application that combines biostatistical analysis, curve fitting, and scientific graphing.
Open-source graphing libraries for interactive visualization in Python, R, and JavaScript, with related application tooling.
An open-source web application that converts tabular data into a range of conventional and less common visual forms.
A browser-based tool for creating and publishing charts, maps, and tables without programming.
A template-based platform for interactive visualizations, animated charts, maps, and data stories.
A visual analytics platform for connecting data, exploring relationships, building dashboards, and sharing results.
A Windows application for scientific data analysis, curve fitting, and publication-oriented graphing.
An open-source R package based on a grammar of graphics for building reproducible statistical visualizations.
An open-source Python library for static, animated, and interactive visualizations.
An open-source application for interactive analysis and visualization of large two- and three-dimensional scientific datasets.
Desktop software for visualization and analysis of molecular structures, density maps, and related biomedical data.
Software for displaying, analyzing, and rendering molecular systems and simulation trajectories.
An open-source Python statistical-graphics library built on Matplotlib with a high-level, data-frame-oriented interface.
An open-source high-level grammar and toolchain for defining interactive statistical graphics with concise declarative JSON specifications.
An open-source Python library that builds declarative statistical visualizations on the Vega-Lite specification.
An open-source Python library for interactive browser graphics, data applications, and linked visual exploration.
An open-source Python library for three-dimensional visualization and mesh analysis, with a NumPy-oriented interface over VTK.
Scientific software for visualizing and analyzing atomistic, molecular, and particle-simulation data, available as open-source Basic tools and a proprietary Pro edition.
An open-source application for interactive and parallel visualization and quantitative analysis of mesh-based scientific data.
An open-source desktop platform for visualizing, analyzing, and extending complex networks, with broad use in molecular and biological network research.
Open-source software for interactively exploring, laying out, filtering, and presenting complex networks on desktop or in a browser.
An open-source Python library and interactive application for two- and three-dimensional scientific-data visualization built on VTK.
An open-source toolkit for processing and visualizing scientific data, with capabilities spanning 2D plots, image processing, volume rendering, and 3D graphics.
An open-source Python library that uses declarative objects to connect data semantics with static or interactive visualizations.
An open-source Python rasterization pipeline that projects, aggregates, transforms, and shades large datasets into viewable representations.
An open-source Python visualization package based on a grammar of graphics, using layers and aesthetic mappings to compose statistical plots.
An open-source Python library that uses GPU and OpenGL acceleration for interactive two- and three-dimensional data visualization.
An open-source web technology stack for visualizing and analyzing large macromolecular structures and associated experimental data.
An open-source JavaScript viewer that uses WebGL to display proteins, nucleic acids, other molecular structures, and trajectories in a browser.