cuDF - GPU DataFrame Library
- gpu
- rapids
- cudf
- arrow
Repository Index
47,133 repositories indexed
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The Time Series Visualization Tool that you deserve.
Immediate Mode Plotting
- imgui
- plotting-library
- implot
- ui
Matplot++: A C++ Graphics Library for Data Visualization 📊🗾
- plot-categories
- data-visualization
- contour-plots
- polar-plots
Jupyter kernel for the C++ programming language
- c-plus-plus-14
- jupyter-kernels
A Python package for manipulating 2-dimensional tabular data structures
- python
- data-analysis
- data-structure
- performance
Immediate Mode 3D Plotting
A C++ header-only library of statistical distribution functions.
- stats
- cpp
- constexpr
- numerical-methods
Asynchronous HTTP/WebSocket graphics device for R with an interactive plot viewer
TTK - Topological Data Analysis and Visualization - Source Code
- topological-data-analysis
- visualization
- python
- paraview
cpp11 helps you to interact with R objects using C++ code.
- r
- cpp11
- cpp
Embedded JavaScript Engine for R
- cran
- libv8
- r
- javascript
Cancer Imaging Phenomics Toolkit (CaPTk) is a software platform to perform image analysis and predictive modeling tasks. Documentation: https://cbica.github.io/CaPTk
- cancer-imaging-research
- radiomics
- radiomics-features
- machine-learning
Practical volume computation and sampling in high dimensions
- geometry
- statistics
- polyhedral-computations
- random-walk
Plotly for C++. A C++ interface to the Plotly.js figure spec, for creating interactive data visualizations.
C++ backend for Jupyter interactive widgets
A library to create charts in wxWidgets applications
- wxwidgets
- charts
- wxcharts
- c-plus-plus
Serverless ML Framework
C++ backend for the jupyter leaflet widget
The Configurable Math Library
- vector-math
- expression-template
- cplusplus-11
- graphics
Support vector machines (SVMs) and related kernel-based learning algorithms are a well-known class of machine learning algorithms, for non-parametric classification and regression. liquidSVM is an implementation of SVMs whose key features are: fully integrated hyper-parameter selection, extreme speed on both small and large data sets, full flexibility for experts, and inclusion of a variety of different learning scenarios: multi-class classification, ROC, and Neyman-Pearson learning, and least-squares, quantile, and expectile regression.
- svm
- regression
- classification
- machine-learning
C++ modules for plotting, graphing and data visualization
Simple C++ InfluxDB client via MS C++ REST SDK + RxCpp for batching (Windows/OSX/Linux) + a C wrapper
- influxdb
- rxcpp
- batching
- client
Rcpp Bindings to C++ parser for TOML files
- r
- c-plus-plus-11
- cran
- r-package