awesome-repositories.com
Blog
MCP
awesome-repositories.com

Discover the best open-source repositories with AI-powered search.

ExploreCurated searchesOpen-source alternativesSelf-hosted softwareBlogSitemap
ProjectMCP serverAboutHow we rankPress
LegalPrivacyTerms
© 2026 Bringes Technology SRL·VAT RO45896025·hello@awesome-repositories.com
lferry007 avatar

lferry007/LargeVis

0
View on GitHub↗
711 stars·168 forks·C++·Apache-2.0·6 views

LargeVis

#LargeVis This is the official implementation of the LargeVis model by the original authors, which is used to visualize large-scale and high-dimensional data (Tang, Liu, Zhang and Mei). It now supports visualizing both high-dimensional feature vectors and networks. The package also contains a…

Features

  • C++ Visualization - Implementation for visualizing large-scale, high-dimensional data.
  • C++ Visualization Tools - Implementation for visualizing large-scale, high-dimensional data.
  • Scientific and System Tools - Implementation for visualizing large-scale, high-dimensional data.

Star history

Star history chart for lferry007/largevisStar history chart for lferry007/largevis

How this analysis was created: This summary and feature list are AI-generated from collected project material and can contain mistakes. Stars, license and language are imported from GitHub. Inclusion does not mean that we have tested or audited this project. Check the source documentation for any feature you depend on. Learn more on our About page.

AI search

Explore more awesome repositories

Describe what you need in plain English — the AI ranks thousands of curated open-source projects by relevance.

Start searching with AI

Projects sharing features with LargeVis

These projects share indexed features with LargeVis. Shared tags can include platform or build tooling; verify the primary use case before treating a result as a replacement.
  • facontidavide/plotjugglerfacontidavide avatar

    facontidavide/PlotJuggler

    5,957View on GitHub↗

    PlotJuggler is an interactive time series visualization tool that loads, streams, and renders large datasets using hardware-accelerated OpenGL graphics. It functions as a multi-format data loader, supporting file formats such as CSV, ULog, and ROS bags, and also serves as a live data stream viewer that subscribes to real-time sources via MQTT, WebSockets, ZeroMQ, and UDP. The tool distinguishes itself through a plugin-based extensibility platform that allows users to add custom data sources, file formats, and processing capabilities. It includes a Lua scripting engine for creating custom data

    C++
    View on GitHub↗5,957
  • alandefreitas/matplotplusplusalandefreitas avatar

    alandefreitas/matplotplusplus

    4,894View on GitHub↗

    This C++ data visualization library is a scientific plotting framework used to create 2D and 3D charts, network graphs, and geographic maps. It operates as a multi-backend graphics library, decoupling high-level plotting logic from low-level rendering engines to support various output backends. The project distinguishes itself with a dual-interface API, providing both a global functional interface for rapid prototyping and an object-oriented interface for precise control. It features a component-based layout engine for managing tiled grids and subplots, alongside a layered plot state that all

    C++charting-librarychartscontour-plots
    View on GitHub↗4,894
  • lava/matplotlib-cpplava avatar

    lava/matplotlib-cpp

    4,760View on GitHub↗

    matplotlib-cpp is a header-only C++ library and wrapper that enables the creation of 2D and 3D visualizations by calling Matplotlib functions directly from C++ code. It serves as a plotting interface for generating line plots, bar graphs, and surface charts using a Python-based backend. The library is designed as a lightweight integration that provides plotting capabilities without requiring a complex build process or compiled binaries. It covers a range of visualization capabilities, including multi-dimensional data rendering, vector field plotting, and the arrangement of multiple subplots.

    C++
    View on GitHub↗4,760
  • ajstarks/svgoajstarks avatar

    ajstarks/svgo

    2,247View on GitHub↗

    Go Language Library for SVG generation

    Go
    View on GitHub↗2,247
Compare all 6 related projects→

Frequently asked questions

What does lferry007/largevis do?

#LargeVis This is the official implementation of the LargeVis model by the original authors, which is used to visualize large-scale and high-dimensional data (Tang, Liu, Zhang and Mei). It now supports visualizing both high-dimensional feature vectors and networks. The package also contains a…

What are the main features of lferry007/largevis?

The main features of lferry007/largevis are: C++ Visualization, C++ Visualization Tools, Scientific and System Tools.

Which projects share features with lferry007/largevis?

Projects with overlapping indexed features include: facontidavide/plotjuggler — PlotJuggler is an interactive time series visualization tool that loads, streams, and renders large datasets using… alandefreitas/matplotplusplus — This C++ data visualization library is a scientific plotting framework used to create 2D and 3D charts, network… lava/matplotlib-cpp — matplotlib-cpp is a header-only C++ library and wrapper that enables the creation of 2D and 3D visualizations by… ajstarks/svgo — Go Language Library for SVG generation. chenjiandongx/go-echarts — go-echarts is a Go library and wrapper for Apache ECharts used to create interactive data visualizations. It functions… gonum/plot — A repository for plotting and visualizing data.