Gephi is an interactive visualization and exploration platform for all kinds of networks and complex systems, dynamic and hierarchical graphs. Gephi is a tool for people that have to explore and understand graphs. It helps data analysts to make hypothesis, intuitively discover patterns, isolate structure singularities or faults during data sourcing.
It supports Real-time visualization, Dynamic Network Analysis, Metrics, Cartography, Clustering and hierarchical graphs etc. It is modular based design and therefore allows developers to add and extend functionalities.
Tags | visualization real-time graphs tool |
Implementation | OpenGL |
License | AGPLv3 |
Platform | Windows Linux MacOS |
Gephi is the leading visualization and exploration software for all kinds of graphs and networks. It is fast Powered by a built-in OpenGL engine, Gephi is able to push the envelope with very large networks. Visualize networks up to a million elements.
visualization opengl open-graph graphs network-visualizationLiveGraph is a framework for real-time data visualisation, analysis and logging. It has a real time plotter that can automatically update graphs of your data while it is still being computed by your application. LiveGraph reads files in a simple CSV-style format. For applications developed in Java, LiveGraph additionally provides an API that handles all data logging and persistency issues.
chart tool graph visualization chart-library-java real-time-chartRickshaw provides the elements you need to create interactive graphs: renderers, legends, hovers, range selectors etc. It's all based on d3 underneath, so graphs are drawn with standard SVG and styled with CSS.
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ali is a load testing tool capable of performing real-time analysis, inspired by vegeta and jplot. It comes with an embedded terminal-based UI where you can plot the metrics in real-time, so lets you perform real-time analysis on the terminal.
http-server-testing performance-testing load-testing benchmarking-tool testing-tools http-performance-testing concurrent visualization tuiAnother visualization tool for Go process metrics. Gosivy tracks Go process's metrics and plot their evolution over time right into your terminal, no matter where it's running on. It helps you understand how your application consumes the resources.
visualization monitoring tuiGraphite is an enterprise-scale monitoring tool that runs well on cheap hardware. It is a highly scalable real-time graphing system. It stores numeric time-series data and renders graphs of this data on demand.
monitoring graph scalable time-series time-series-database databasePlow is a HTTP(S) benchmarking tool, written in Golang. It uses excellent fasthttp instead of Go's default net/http due to its lightning fast performance. Plow runs at a specified connections(option -c) concurrently and real-time records a summary statistics, histogram of execution time and calculates percentiles to display on Web UI and terminal. It can run for a set duration( option -d), for a fixed number of requests(option -n), or until Ctrl-C interrupted.
visualization cli http performance realtime load-testing load apachebenchSee the overview, tutorial, and examples for more.In the browser, manually add rickshaw.min.js and rickshaw.min.css in the document head.
rickshaw graph d3 svg charts visualization data-visualization charting-libraryCinefx is a professional grade media player, based on the jahplayer, that is capable of playing uncompressed video and image sequences at resolutions as high as 2K and 4K in real-time. Cinefx is an offline playback, editing, encoding, animation and visual effects tool based on the Jahshaka technology that allows you to create professional digital media on your desktop. Use the tools that hollywood uses to create blockbuster films and special effects.
video-editor video media-playerTensorWatch is a debugging and visualization tool designed for deep learning and reinforcement learning. It fully leverages Jupyter Notebook to show real time visualizations and offers unique capabilities to query the live training process without having to sprinkle logging statements all over. You can also use TensorWatch to build your own UIs and dashboards. In addition, TensorWatch leverages several excellent libraries for visualizing model graph, review model statistics, explain prediction and so on. TensorWatch is under heavy development with a goal of providing a research platform for debugging machine learning in one easy to use, extensible and hackable package.
ai deep-learning deeplearning machine-learning machinelearning machinelearning-python reinforcement-learning debugging debugging-tool debugger-visualizer debug monitoring explainable-ai explainable-ml saliency salient-object-detection model-visualizationμPlot is a fast, memory-efficient Canvas 2D-based chart for plotting time series, lines, areas, ohlc & bars; from a cold start it can create an interactive chart containing 150,000 data points in 135ms, scaling linearly at ~25,000 pts/ms. In addition to fast initial render, the zooming and cursor performance is by far the best of any similar charting lib; at ~35 KB, it's likely the smallest and fastest time series plotter that doesn't make use of context-limited WebGL shaders or WASM, both of which have much higher startup cost and code size. However, if you need 60fps performance with massive streaming datasets, uPlot can only get you so far. WebGL should still be the tool of choice for applications like realtime signal or waveform visualizations: See danchitnis/webgl-plot, huww98/TimeChart, epezent/implot, or commercial products like LightningChart®.
lightweight chart charts streaming performance timeseries time-series analytics graph graphs plot data-visualization plotting ohlc line-chart trend-analysis micro time series line area trend barMapster is a real-time event map implemented as a Kibana visualization. Mapster is not truely in real-time. It fetches the events from ElasticSearch using Kibana and replays the events in real time with a lag corresponding to the Kibana refresh time.
kibana kibana-plugin visualization geospatial pluginTuning Fork Visualization Platform is a data visualization and analysis tool built on the Eclipse Rich Client Platform that supports the development and continuous monitoring of systems. It is particularly useful for real-time systems.
VirusWALL is a ClamAV Virus Graph/Info Tool/Report Generator. For Virus traffic on your SMTP Gateway, EMail server or SMB/UFS Fileserver utilizing Clam AntiVirus. Real-time reporting via a web interface, Graphs are Pure CSS for speed and efficiency.
A general purpose real-time charting library for building beautiful, smooth, and high performance visualizations.
chart charting visualization svg animation canvas d3 data-visualization charts charting-libraryZeu.js is JavaScript library featuring a collection of prebuilt visualization components for building real-time TV dashboard, monitoring UI and IoT web interface. Done! Explore the Introduction page to get started.
visualization chart animation canvas zeu iotXChart is a light-weight and convenient library for plotting data designed to go from data to chart in the least amount of time possible and to take the guess-work out of customizing the chart style.
charts tool graph visualization chart-library-java charts-library charting-libraryKibana provides flexible analytics and visualization platform for Elasticsearch. It understands large volume of data and easily create bar charts, line and scatter plots, histograms, pie charts, and maps. It can provide real-time summary and charting of streaming data. Kibana is a snap to setup and start using. Kibana strives to be easy to get started with, while also being flexible and powerful, just like Elasticsearch.
analytics dashboard visualization real-time-charts time-series graph chartsPyGraphistry is a visual graph analytics library to extract, transform, and load big graphs into Graphistry's cloud-based graph explorer. It supports unusually large graphs for interactive visualization. The client's custom WebGL rendering engine renders up to 8MM nodes and edges at a time, and most older client GPUs smoothly support somewhere between 100K and 1MM elements. The serverside OpenCL analytics engine supports even bigger graphs.
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