Search Results for "call graph visualization"
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Showing 15 open source projects for "call graph visualization"
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Graph Notebook
Library extending Jupyter notebooks to integrate with Apache TinkerPop
...This project includes many examples of Jupyter notebooks. It is recommended to explore them. All of the commands and features supported by graph notebook are explained in detail with examples within the sample notebooks. You can find them here. As this project has evolved, many new features have been added. If you are already familiar with graph-notebook but want a quick summary of new features added, a good place to start is the Air-Routes notebooks in the 02-Visualization folder. -
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Cytoscape.js
Graph theory library for visualization and analysis
A fully featured graph library written in pure JS. Permissive open source license (MIT) for the core Cytoscape.js library and all first-party extensions. Used in commercial projects and open-source projects in production. Designed for users first, for both frontfacing app usecases and developer usecases. Highly optimized. Compatible with All modern browsers. Legacy browsers with ES5 and canvas support. ES5 and canvas support are required, and feature detection is used for optional... -
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plotly
An interactive graphing library for R
This part of the book teaches you how to leverage the plotly R package to create a variety of interactive graphics. There are two main ways to creating a plotly object: either by transforming a ggplot2 object (via ggplotly()) into a plotly object or by directly initializing a plotly object with plot_ly()/plot_geo()/plot_mapbox(). Both approaches have somewhat complementary strengths and weaknesses, so it can pay off to learn both approaches. Moreover, both approaches are an implementation of... -
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NoteDiscovery
Your Self-Hosted Knowledge Base
...It emphasizes lightweight performance and privacy, storing notes as plain markdown files that can be easily managed, synced, or version controlled while keeping everything on your own server. The interface is modern and responsive, offering themes, tags, interactive note browsing, and visualization tools like graph views for connected ideas, which makes it suitable for personal “second brain” systems or team wikis. Users benefit from features like fast search, outline navigation, favorites, and plugin extensibility, and the platform works well across devices thanks to its responsive design. -
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The NLopt module for Julia
Package to call the NLopt nonlinear-optimization library from Julia
This module provides a Julia-language interface to the free/open-source NLopt library for nonlinear optimization. NLopt provides a common interface for many different optimization algorithms. -
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Github Contributions
A tool that generates a repository which being pushed into your GitHub
...It runs a local browser-based interface that guides users through producing the required repository history. After generation, the repository can be pushed to a GitHub account so its commits appear on the profile graph. The application can be installed globally through npm or run from a cloned source directory. Its local server listens on port 9000 and requires Git to be available through the system path. Windows users must ensure that their Git installation exposes its commands correctly. The project is primarily an experimental visualization tool rather than a record of genuine software development activity. -
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Awesome Network Analysis
A curated list of awesome network analysis resources
awesome-network-analysis is a curated list of resources focused on network and graph analysis, including libraries, frameworks, visualization tools, datasets, and academic papers. It covers multiple programming languages and domains like sociology, biology, and computer science. This repository serves as a central reference for researchers, analysts, and developers working with network data. -
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MiniChain
A tiny library for coding with large language models
MiniChain is a small Python library for building applications that combine large language models, prompts, and executable tools. Developers annotate ordinary functions to define model calls while keeping prompt templates separate from application logic. Multiple functions can be chained so the output of one model or tool becomes the input to another. The library records calls as a graph, making intermediate steps easier to inspect, debug, and retry. It includes model abstractions for... -
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Interpret-Text
State-of-the-art explainers for text-based machine learning models
A library that incorporates state-of-the-art explainers for text-based machine learning models and visualizes the result with a built-in dashboard. Interpret-Text builds on Interpret, an open source python package for training interpretable models and helping to explain blackbox machine learning systems. We have added extensions to support text models. Interpret-Text incorporates community-developed interpretability techniques for NLP models and a visualization dashboard to view the results.... -
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10
TensorNetwork
A library for easy and efficient manipulation of tensor networks
TensorNetwork is a high-level library for building and contracting tensor networks—graphical factorizations of large tensors that underpin many algorithms in physics and machine learning. It abstracts networks as nodes and edges, then compiles efficient contraction orders across multiple numeric backends so users can focus on model structure rather than index bookkeeping. Common network families (MPS/TT, PEPS, MERA, tree networks) are expressed with concise APIs that encourage... -
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TFLearn
Deep learning library featuring a higher-level API for TensorFlow
...Full transparency over Tensorflow. All functions are built over tensors and can be used independently of TFLearn. Powerful helper functions to train any TensorFlow graph, with support of multiple inputs, outputs, and optimizers. Easy and beautiful graph visualization, with details about weights, gradients, activations, and more. Effortless device placement for using multiple CPU/GPU. The high-level API currently supports the most of the recent deep learning models, such as Convolutions, LSTM, BiRNN, BatchNorm, etc. -
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Pinject
A pythonic dependency injection library
Pinject is a lightweight dependency-injection library for Python that favors explicit wiring and testability over magic. Instead of global singletons, you declare providers (bindings) that describe how to construct objects, and Pinject resolves the graph by inspecting call signatures. Its container supports constructor injection and fine-grained scoping so you can share expensive resources while keeping tests isolated. The library leans on Python’s introspection to minimize boilerplate, making it natural to adopt in codebases that already rely on type hints or keyword arguments. ... -
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istiChartLib
C++ Chart Library for wxWidgets
IstiChartLib is one of the simplest c++ library for making chart or graph. It is developed using wxWidgets library. For windows, please use IstiChartLib.zip. For Linux (tested on Ubuntu) use IstiChartLib_Linux.tar.gz. For detailed documentation, please visit www.firagiel.com Password to extract: firagiel -
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Glimpse Plotting Library
WPF Plotting Library
Glimpse is a .NET 4.6 plotting library for WPF projects. It currently contains five classes: a scatter plot, a line graph, an histogram, a raster plot to display matrix data and a tree plot to visualize recursive XML data. Main attributes can be customized through the respective constructors, additional changes are available through public properties. To use the packaged classes just reference the library in your project, instantiate a new plot and add it to a display container of your choice. -
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ThunderGraph is another java charting library intended to draw 2D graphs. Additionally, it contains a package that presents a live component implementing zoomable, scrollable and 'hintable' graph. Written for JDK 1.1+, it may be used in MS IE applets.
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