Wisteria Dataviz is data visualization library based on wxWidgets. It includes features such as:

• Numerous built-in graphs (refer to the Wisteria::Graphs namespace for a full list)
• Interface for displaying tabular data
• Built-in printing, copying, and exporting support
• Data importing (Excel, CSV, tab-delimited, or user-defined delimited files) support
• Data transformations, such as filtering, pivoting (both longer or wider), subsetting, and recoding
• Data exporting (CSV, tab-delimited, or user-defined delimited files) support
• Image support, including the ability to use images for plot and bar backgrounds, logos, and point markers
• Image effects, such as oil-painting and Sepia tone
• Effects for boxes and bars, including transparency, a watercolor look, a glassy look, stipple brushes, and color fades
• Reference lines and areas
• Pre-defined and extensible color schemes
• Multi-plot support
  • Graphs can be embedded side-by-side on the same (scrollable) canvas
  • Includes support for setting a common axis for all graphs across a row or down a column

See more in the features overview.

• Setup the library's settings (optionally) when your application starts
• Construct a Wisteria::Canvas object (which is a wxScrolledWindow-derived window), and embed it into a wxFrame or wxDialog
• Import data into a Wisteria::Data::Dataset (or build a dataset), specifying which columns to include and how to classify them
• Construct a plot object (e.g., Wisteria::Graphs::LinePlot) and pass your dataset to it
• Customize the plot, as needed
  • Change the colors and styles of the bars, lines, etc.
  • Change the plot background color, or use an image as the background
  • Add titles and captions
  • Adjust the axes, add tickmarks, add custom labels
  • etc.
• Add the plot (and its legend [if applicable]) to the canvas

Some of the graphs included are:

Bar Chart (Wisteria::Graphs::BarChart)	Line Plot (Wisteria::Graphs::LinePlot)

Pie Chart (Wisteria::Graphs::PieChart)	Donut Chart (Wisteria::Graphs::PieChart)

Table (Wisteria::Graphs::Table)

Sankey Diagram (Wisteria::Graphs::SankeyDiagram)

Word Cloud (Wisteria::Graphs::WordCloud)

Gantt Chart (Wisteria::Graphs::GanttChart)

Candlestick Plot (Wisteria::Graphs::CandlestickPlot)

Histogram (Wisteria::Graphs::Histogram)	Box Plot (Wisteria::Graphs::BoxPlot)

Discrete Heat Map (Wisteria::Graphs::HeatMap)	Grouped Discrete Heat Map (Wisteria::Graphs::HeatMap)

3-Point Likert Chart (Wisteria::Graphs::LikertChart)

Pro & Con Roadmap (Wisteria::Graphs::ProConRoadmap)

W-Curve Plot (Wisteria::Graphs::WCurvePlot)

Linear Regression Roadmap (Wisteria::Graphs::LRRoadmap)

See more in the graphs gallery.

Release information is available here.

Get and build wxWidgets 3.3 or higher:

• Open Visual Studio and select Clone a Repository
  • Enter https://github.com/wxWidgets/wxWidgets.git and clone it
• Once the wxWidgets folder is cloned and opened in Visual Studio:
  • Open Project > CMake Settings for wxWidgets
    • Uncheck wxBUILD_SHARED
    • Set wxBUILD_OPTIMISE to "ON"
    • Set the configuration type to "Release"
    • Save your changes
  • Select Build > Install wxWidgets (builds and then copies the header, lib, and cmake files to the prefix folder)

Next, download and build Wisteria:

• Open Visual Studio and select Clone a Repository
  • Enter https://github.com/Blake-Madden/Wisteria-Dataviz.git and clone it Note that this project's folder should be at the save level as the wxWidgets folder.
• Open this project's CMake file in Visual Studio:
  • Open Project > CMake Settings for Wisteria
    • Set the configuration type to "Release" (or create a new release configuration)
    • Save your changes
• Select View > CMake Targets
• Build the demo, and wisteria, and/or doxygen-docs targets

Install the following from your repository manager (or build from source):

• GTK3 development files (version 3.3 or higher)
• OpenMP (libomp) and its development files
• Threading Building Blocks (libtbb) and its development files
• Doxygen (if building the API documentation)

Get and build wxWidgets 3.3 or higher at the same folder level as this project:

git clone https://github.com/wxWidgets/wxWidgets.git --recurse-submodules
cd wxWidgets
cmake . -DCMAKE_INSTALL_PREFIX=./wxlib -DwxBUILD_SHARED=OFF \
    -DwxBUILD_OPTIMISE=ON -DwxBUILD_STRIPPED_RELEASE=ON -DCMAKE_BUILD_TYPE=Release
cmake --build . --target install -j4 --config Release
cd ..

Next, download Wisteria and build the library, demo, and documentation:

git clone https://github.com/Blake-Madden/Wisteria-Dataviz.git --recurse-submodules
cd Wisteria-Dataviz
cmake . -DCMAKE_BUILD_TYPE=Release
cmake --build . -j4 --config Release

If using KDevelop or VS Code, you can also open the CMake file and build from there.

Install the following using brew (or build from source):

• XCode
• Doxygen (if building the API documentation)

Get and build wxWidgets 3.3 or higher at the same folder level as this project:

git clone https://github.com/wxWidgets/wxWidgets.git --recurse-submodules
cd wxWidgets
cmake . -DCMAKE_INSTALL_PREFIX=./wxlib -DwxBUILD_SHARED=OFF \
    -DwxBUILD_OPTIMISE=ON -DwxBUILD_STRIPPED_RELEASE=ON -DCMAKE_BUILD_TYPE=Release
cmake --build . --target install -j4 --config Release
cd ..

Next, download Wisteria and build the library, demo, and documentation:

git clone https://github.com/Blake-Madden/Wisteria-Dataviz.git --recurse-submodules
cd Wisteria-Dataviz
cmake . -DCMAKE_BUILD_TYPE=Release
# XCode will not understand an "all" target,
# so the binaries and manual must be built separately
cmake --build . --target demo -j4 --config Release
cmake --build . --target wisteria -j4 --config Release
cmake --build . --target doxygen-docs -j4

To build the API documentation, open "docs/doxygen/Doxyfile" in Doxygen and run it.

• wxWidgets 3.3 or higher
• A C++20 compatible compiler (XCode on macOS)
• CMake 3.25 or higher
• Doxygen (if building the API documentation)
• GTK 3 (Linux)
• Threading Building Blocks: libtbb (Linux)
• OpenMP (Linux)