Search Results for "graph nodes" - Page 2
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Showing 131 open source projects for "graph nodes"
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SynaBun
Persistent vector memory for AI assistants
...The system integrates tightly with developer workflows by running alongside tools like Claude Code, enabling automatic memory capture, retrieval, and contextual augmentation through lifecycle hooks and commands. One of its defining characteristics is its Neural Interface, a browser-based 3D visualization that represents stored memories as nodes in an interactive graph, allowing users to explore relationships, edit entries, and manage knowledge visually. -
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Apache Hamilton
Helps data scientists define testable self-documenting dataflows
Apache Hamilton is an open-source Python framework designed to simplify the creation and management of dataflows used in analytics, machine learning pipelines, and data engineering workflows. The framework enables developers to define data transformations as simple Python functions, where each function represents a node in a dataflow graph and its parameters define dependencies on other nodes. Hamilton automatically analyzes these functions and constructs a directed acyclic graph representing the pipeline, allowing the system to execute transformations in the correct order. This approach encourages modular, testable, and maintainable data pipelines because each transformation is isolated and easily unit tested. ... -
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LangGraph.js
Framework to build resilient language agents as graphs
LangGraphJS is a JavaScript framework designed to build stateful AI applications and autonomous agents using graph-based execution models. Developed as part of the LangChain ecosystem, the framework allows developers to represent complex AI workflows as graphs where nodes represent tasks and edges define the flow of execution. This structure makes it easier to implement long-running agents, multi-step reasoning pipelines, and workflows that require persistent state. -
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elder-pt
data flow framework
Elder-PT is a software framework, that facilitates the task of event-by-event data analysis. The basic concept is that the process of data analysis can be mapped onto a graph where data processing happens in the nodes and data flows along edges between nodes. The framework provides: 1) a parser for analysis graph configuration files 2) an API to write processing nodes that can be inserted as nodes into the analysis graph 3) a library of frequently used processing nodes The framework can coupled to data analysis software like Go4 for data visualization. -
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Smallpond
A lightweight data processing framework built on DuckDB and 3FS
smallpond is a lightweight distributed data processing framework built by DeepSeek, designed to scale DuckDB workloads over clusters using their 3FS (Fire-Flyer File System) backend. The idea is to preserve DuckDB’s fast analytics engine but lift it from single-node to multi-node settings, giving you the ability to operate on large datasets (e.g. petabyte scale) without moving to a heavyweight system like Spark. Users write Python-like code (via DataFrame APIs or SQL strings) to express... -
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OmAgent
Build multimodal language agents for fast prototype and production
...Instead of forcing developers to implement complex orchestration logic manually, the system manages task scheduling, worker coordination, and node optimization behind the scenes. Its architecture uses a graph-based workflow engine where tasks are represented as nodes in a directed workflow, enabling modular composition of complex reasoning pipelines. The framework also includes support for various reasoning strategies commonly used in language agents, such as chain-of-thought prompting, self-consistency reasoning, and ReAct-style decision loops. -
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TensorFlow
TensorFlow is an open source library for machine learning
...The platform can be easily deployed on multiple CPUs, GPUs and Google's proprietary chip, the tensor processing unit (TPU). TensorFlow expresses its computations as dataflow graphs, with each node in the graph representing an operation. Nodes take tensors—multidimensional arrays—as input and produce tensors as output. The framework allows for these algorithms to be run in C++ for better performance, while the multiple levels of APIs let the user determine how high or low they wish the level of abstraction to be in the models produced. ... -
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Redpanda
Redpanda is a streaming data platform for developers
Faster data. Fewer nodes. More time for coffee. Redpanda is a Kafka®-compatible streaming data platform that is proven to be 10x faster and 6x more cost-efficient. It is also JVM-free, ZooKeeper®-free, Jepsen-tested and source available. We are building a real-time streaming engine for modern applications - from the enterprise to the solo dev prototyping a react application on her laptop. -
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Go Recipes
Collection of handy tools for Go projects
Visualize the distribution of code coverage in your project. This helps to identify code areas with high and low coverage. Useful when you have a large project with lots of files and packages. This 2D image-hash of your project should be more representative than a single number. For each module, the node representing the greatest version (i.e., the version chosen by Go's minimal version selection algorithm) is colored green. Other nodes, which aren't in the final build list, are colored grey... -
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Fyrox
3D and 2D game engine written in Rust
...First-class 3D and 2D support + ability to mix 3D with 2D. Deferred shading, use tons of lights with small overhead. Built-in save/load, save or load entire state of the engine in one call. Full-featured scene graph with various nodes (pivot, camera, mesh, light, particle system, sprite). High-quality binaural sound with Head-Related Transfer Function (HRTF) support. Standalone scene editor makes scenes in native engine format using the power of rusty editor. Rigid bodies, rich set of various colliders, joints, ray casting, etc. -
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PCGExtendedToolkit
PCGEx is a free (libre) Unreal 5 plugin that expands PCG capabilities. It offers a variety of high-performance nodes; with an edge for building relational graphs (Freeform, Delaunay, Voronoi, MST etc), advanced pathfinding; graph theory and much more.
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rw
rw calculates rank-width and rank-decompositions.
...It is based on ideas from "Computing rank-width exactly" by Sang-il Oum, "Sopra una formula numerica" by Ernesto Pascal, "Generation of a Vector from the Lexicographical Index" by B.P. Buckles and M. Lybanon and "Fast additions on masked integers" by Michael D. Adams and David S. Wise. On 2009's computers it works quite well up to graph sizes of about 28 nodes. Runtime and memory usage are exponential in the graph size. -
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Cy
Hackers terminal browser of Cyber blockchains
Cy - a nushell wrapper, a client for the Cyber family blockchains (bostrom, pussy) and IPFS. Bostrom is the name of the consensus computer that maintains a general-purpose, permissionless informational graph where nodes are CIDs of files in the IPFS network, and edges are Cyberlinks (consisting of source, destination, author, height - records) written into the blockchain. The information written into the blockchain is secured to remain in existence as long as the blockchain is operative. The blockchain is designed with economic incentives that motivate validators to sustain the network. ... -
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Windows EtherApe Clone
A real-time network visualizer for Windows-based on the Linux version
Windows EtherApe Clone is a free Windows network traffic visualizer and packet analyzer that monitors network connections in real-time. This network monitoring tool displays live network activity as an interactive graph, showing all devices and data flows on your network. Built for Windows 10/11, it captures packets using Npcap/WinPcap and visualizes TCP, UDP, ICMP protocols with color-coded connections. The network analyzer identifies local devices (green nodes) versus internet hosts (red nodes), with node sizes reflecting bandwidth usage. Features include DNS resolution, automatic cloud provider detection (AWS, Azure, Google Cloud), and 60-second connection fade timers. ... -
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Relationship Visualizer
Turn your Excel data into clear Graphviz diagrams and Knowledge Graphs
The Relationship Visualizer spreadsheet transforms your Excel data into professional Graphviz diagrams and Knowledge Graphs. Enter simple "A is related to B" rows to instantly generate polished relationship graphs using the Graphviz DOT language. Ideal for data analysis, network visualization, and IT architecture. Free, open-source, MIT-licensed. Customize the look of nodes, edges, and clusters with the Style Designer. Build a CSS-like gallery of reusable styles that lets you apply... -
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Shadow Network Fingerprinting Engine
SNF is a 100% offline, air-gap passive network intelligence engine
...Not a setting. Architecture.** ## Validated Results - Emotet epoch 3 PCAP — 23 IOC hits, 52 threat matches - MAWI backbone — 14.9M packets, zero crashes, 332K graph nodes - nmap standard scan — 1,971 scan events detected ## Links - Website: https://shadownf.com - GitHub (open core): https://github.com/padigeltejas/snf-core -
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Social Network Visualizer
Social Network Analysis and Visualization software
Visit our new site: http://socnetv.org Social Network Visualizer (SocNetV) is a social network analysis and visualization application. You can draw a social network (graph/digraph) or load an existing one (GraphML, UCINET, Pajek, etc), compute cohesion, centrality, community and structural equivalence metrics and apply various layout algorithms based on actor centrality or prestige scores (i.e. Eigenvector, Betweenness) or on dynamic models (i.e. Kamada-Kawai spring-embedder) -
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rust_dot
RustDOT is mostly the Graphviz DOT language, lightly rustified.
...("{} {} \"{}\" {:?} {:?}", g2.strict, g2.directed, g2.name, g2.nodes, g2.edges); // false true "Didi" ["-1", "2", "3", "4.2"] [(0, 1), (1, 2), (1, 3)] The return values can be fed to crates petgraph (or graph/graph_builder): let mut petgraph = petgraph::graph::Graph::new(); let nodes: Vec<_> = rust_dot_graph.nodes .iter() .map(|node| petgraph .add_node(node)) .collect(); for edge in rust_dot_graph.edges { petgraph .add_edge(nodes[edge.0], nodes[edge.1], ()); }; -
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OpenSCAD Graph Editor
OpenSCAD Graph Editor
OpenSCAD Graph Editor is a graphical user interface for OpenSCAD that allows you to create 3D models by connecting nodes in a graph. The editor will automatically generate OpenSCAD code for you. It integrates with the OpenSCAD program so you can preview your models in real-time while you are editing the graph. Please check the manual to find out how to install and use the program. -
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InstaGraph
Converts text input or URL into knowledge graph and displays
InstaGraph is a Flask application that converts text input or a URL into a visual knowledge graph. It uses an LLM to identify entities, relationships, labels, and node types from the provided content. The generated graph is displayed visually, helping users understand relationships that may be harder to see in plain text. The project includes Graphviz-based visualization logic and supports updating an existing graph through follow-up instructions. It is designed to be simple, colorful, and... -
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Graph of Thoughts
Official Implementation of "Graph of Thoughts
...In this framework, problems are modeled as a graph of operations where nodes represent reasoning steps and edges represent dependencies between them. The framework executes these operations using a large language model as the reasoning engine while evaluating intermediate results to guide the search process. This approach enables models to explore multiple reasoning strategies in parallel and choose the most promising solutions during problem solving. -
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Path Finder for Processing
2D/3D Path finding library
V1.0 is compatible with Processing 2 & 3 This library provides a set of classes to define a graph comprising of nodes and edges. Then allow the user to select from 4 different algorithms (Depth First, Breadth First, Dijkstra, A*) to find a path through the graph. Although suitable for games it can be used in a wide range of problems involving networks. Although the download is packaged as a Processing library the actual code has no dependencies on Processing except the examples. ... -
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RootGraph
Graphic interface with algorithms to compute line and root graphs
Simple and intuitive graphic interface for graph theory with algorithms to compute line and root graphs of a given graph. - Double click to add a new node. - Left click a node and drag to change the position of the node. - Select a node with left click and add an edge with the next node you select. - Right click a node to delete it. Made in C++ using the wxWidgets library. -
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dorban
A demo for the Svarog AI library.
...The Svarog AI library contains a new optimization algorithm based on so called hidden variables. In order to achieve the objective Dorban will try to convince Pregor to accompany him, and together they will try to find the vampire in a graph with 5 city nodes. When accompanying Dorban use menu item "follow orders" to follow his orders. -
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Spektral
Graph Neural Networks with Keras and Tensorflow 2
Spektral is a Python library for graph deep learning, based on the Keras API and TensorFlow 2. The main goal of this project is to provide a simple but flexible framework for creating graph neural networks (GNNs). You can use Spektral for classifying the users of a social network, predicting molecular properties, generating new graphs with GANs, clustering nodes, predicting links, and any other task where data is described by graphs.