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.
الميزات الرئيسية لـ facontidavide/plotjuggler هي: OpenGL-Accelerated Time-Series Renderers, Time-Series Visualizers, Time Series File Parsers, Lua-Based Data Transformations, Interactive Time-Series Explorers, Time Series Stream Viewers, Time Series Stream Subscribers, Live Stream Visualizers.
تشمل البدائل مفتوحة المصدر لـ facontidavide/plotjuggler: shutterstock/rickshaw — Rickshaw is a JavaScript library for building interactive, SVG-based time series charts in the browser. It provides a… epochjs/epoch — Epoch is a CSS-stylable charting engine and visualization library designed for real-time and statistical data. It… awslabs/gluon-ts — GluonTS is a framework for probabilistic time series forecasting, designed to predict future values as probability… mozilla/metrics-graphics — metrics-graphics is a data visualization library and declarative graphics framework designed to create principled data… gephi/gephi — Gephi is an open-source desktop application for visualizing and analyzing large-scale network graphs. It provides an… awslabs/gluonts — GluonTS is a probabilistic time series library and deep learning forecasting framework. It provides a toolkit for…
Rickshaw is a JavaScript library for building interactive, SVG-based time series charts in the browser. It provides a framework for rendering line, area, bar, and scatterplot visualizations from data series, with built-in support for axes, legends, color palettes, and interactive controls. The library distinguishes itself through a plugin-based architecture that allows renderers to be swapped at runtime, such as switching between stacked area and line chart views while preserving chart state. It includes an event-driven interaction layer for hover details, click behaviors, and drag-based rang
Epoch is a CSS-stylable charting engine and visualization library designed for real-time and statistical data. It functions as a timeseries charting tool that renders historical and live data using a hybrid of SVG and HTML5 Canvas graphics to maintain performance during frequent updates. The library distinguishes itself through a unified CSS querying system that applies styles to both vector and raster plot elements. This allows for visual theme resolution via CSS classes and the ability to customize the appearance of specific data series using stylesheets. The toolset covers a broad range o
GluonTS is a framework for probabilistic time series forecasting, designed to predict future values as probability distributions with confidence intervals. It supports both traditional model training and zero-shot forecasting, where pretrained models generate predictions for new series without additional training. The project distinguishes itself by integrating a wide variety of forecasting approaches into a unified workflow. This includes deep learning architectures such as recurrent neural networks and causal convolutions, as well as the integration of external statistical models, the Proph
metrics-graphics is a data visualization library and declarative graphics framework designed to create principled data graphics and layouts. It functions as a statistical graphics engine that maps raw data to geometric shapes and structured objects to render complex, data-driven layouts. The toolkit specializes in rendering time-series data through line charts and scatterplots using a consistent layout system. It also provides capabilities for statistical distribution mapping, including the creation of rug plots to represent one-dimensional data density. The system covers a broad surface of