Search Results for "node graph"
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Showing 29 open source projects for "node graph"
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Graph Node
Graph Node indexes data from blockchains such as Ethereum
The Graph is an indexing protocol for querying networks like Ethereum and IPFS. Anyone can build and publish open APIs, called subgraphs, making data easily accessible. Subgraphs can be composed into a global graph of all the world's public information. This data can be transformed, organized, and shared across applications for anyone to query with just a few keystrokes. Before The Graph, teams had to develop and operate proprietary indexing servers. This required significant engineering and... -
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Testcontainers node
Supports tests, providing lightweight, throwaway instances of database
Testcontainers is an open source library for providing throwaway, lightweight instances of databases, message brokers, web browsers, or just about anything that can run in a Docker container. No more need for mocks or complicated environment configurations. Define your test dependencies as code, then simply run your tests and containers will be created and then deleted. With support for many languages and testing frameworks, all you need is Docker. Use a containerized instance of your... -
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Node Modules Inspector
Interactive UI for local node modules inspection
This is a tool (CLI + interactive UI) for inspecting the node_modules directory of a JavaScript/TypeScript project, created by Anthony Fu. It supports projects using npm, pnpm or bun. The idea is to help developers visualise the dependency graph, see which dependencies are installed, their sizes, types (ESM vs CJS), origins (catalog vs registry), and filter or build a static report of a project’s dependency tree. The project includes a web UI version that you can try at node-modules.dev, and a build command to generate a static output (folder .node-modules-inspector) for hosting. ... -
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miniaudio
Audio playback and capture library written in C,
...With the low-level API, just initialize a connection to the device and send or receive raw audio data. The modular design of miniaudio allows you to use the low-level API without compromising your ability to make use of other features like the node graph and resource manager. miniaudio's node graph system gives you an easy way to set up advanced mixing and effect graphs. Each node sends it's output to another node, and so on and so forth to produce all kinds of effects. You can even implement your own custom nodes and plug them in however you like. Plug multiple nodes into the same input node for mixing and use the splitter node for complex routing. -
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ComfyUI
The most powerful and modular diffusion model GUI, api and backend
The most powerful and modular diffusion model is GUI and backend. This UI will let you design and execute advanced stable diffusion pipelines using a graph/nodes/flowchart-based interface. We are a team dedicated to iterating and improving ComfyUI, supporting the ComfyUI ecosystem with tools like node manager, node registry, cli, automated testing, and public documentation. Open source AI models will win in the long run against closed models and we are only at the beginning. Our core mission is to advance and democratize AI tooling. ... -
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NetworkX
Network analysis in Python
...Find the shortest path between two nodes in an undirected graph. Python’s None object is not allowed to be used as a node. It determines whether optional function arguments have been assigned in many functions. And it can be used as a sentinel object meaning “not a node”. -
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ONNX Runtime
ONNX Runtime: cross-platform, high performance ML inferencing
...ONNX Runtime is compatible with different hardware, drivers, and operating systems, and provides optimal performance by leveraging hardware accelerators where applicable alongside graph optimizations and transforms. ONNX Runtime training can accelerate the model training time on multi-node NVIDIA GPUs for transformer models with a one-line addition for existing PyTorch training scripts. Support for a variety of frameworks, operating systems and hardware platforms. Built-in optimizations that deliver up to 17X faster inferencing and up to 1.4X faster training. -
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A Fluent Builder For Schema.org Types
A fluent builder Schema.org types and ld+json generator
spatie/schema-org provides a fluent builder for all Schema.org types and their properties. The code in src is generated from Schema.org's JSON-LD standards file, so it provides objects and methods for the entire core vocabulary. The classes and methods are also fully documented as a quick reference. We highly appreciate you sending us a postcard from your hometown, mentioning which of our package(s) you are using. You'll find our address on our contact page. We publish all received postcards... -
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Visual Blocks
Visual Blocks for ML is a Google visual programming framework
Visual Blocks is a node-based, in-browser environment for building AI and data-processing workflows with drag-and-drop components. It lets you connect sources, transforms, models, and visualizers into a live graph, so changes propagate instantly and results are observable without writing glue code. Under the hood it leans on web-friendly runtimes (e.g., WebGPU/WebGL/WebNN or TensorFlow.js backends) to execute pipelines locally, which is great for demos, teaching, and privacy-sensitive prototypes. ... -
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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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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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ComfyUI Examples
Examples of ComfyUI workflows
ComfyUI_examples is the companion repository for ComfyUI that collects ready-made example workflows, nodes, and compositions to help users learn the node-based interface for AI image generation. Instead of starting from an empty graph, you can open an example and see how prompts, samplers, models, and image processing steps are wired together. This makes ComfyUI more approachable for people coming from “one text box” generators, because they can reverse-engineer complex pipelines visually. ... -
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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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Svelvet
A library for building dynamic, infinitely customizable interfaces
Build interactive, node-based UIs and diagrams in Svelte. Svelvet is a lightweight component library for building dynamic, customizable node graphs. Svelvet allows you to easily create intuitive user interfaces and diagrams with pre-built components with node-to-node data flow, seamless zooming and panning, customizable edges and nodes and more. Start mapping out your ideas with our NPM package. Simply provide your node data to the Svelvet component and you're ready to show off your... -
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Jraph
A Graph Neural Network Library in Jax
Jraph (pronounced “giraffe”) is a lightweight JAX library developed by Google DeepMind for building and experimenting with graph neural networks (GNNs). It provides an efficient and flexible framework for representing, manipulating, and training models on graph-structured data. The core of Jraph is the GraphsTuple data structure, which enables users to define graphs with arbitrary node, edge, and global attributes, and to batch variable-sized graphs efficiently for JAX’s just-in-time compilation. ... -
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Flowy
The minimal javascript library to create flowcharts
flowy is a minimal JavaScript library for building interactive flowchart-style interfaces in web applications, allowing developers to create node-based editors, automation builders, or visual programming tools with relatively little code. It provides draggable, connectable blocks (nodes) that can be placed on a canvas, connected via lines, and rearranged dynamically while preserving the underlying graph structure. The library focuses on simplicity and aesthetics, offering a clean look out of the box that can be customized with your own CSS, making it suitable for dashboards, SaaS products, or internal tools. ... -
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NeoEloquent
The Neo4j OGM for Laravel
Neo4j Graph Eloquent Driver for Laravel. The service provider will register all the required classes for this package and will also alias the Model class to NeoEloquent so you can simply extend NeoEloquent in your models. The generated label from that relationship will be VinelabCmsAdmin, this is necessary to make sure that labels do not clash in cases where we introduce another Admin instance like Vinelab\Blog\Admin then things get messy with :Admin in the database. -
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gml4gtk
small console GML or graphviz DOT graph viewer
directed graph layout program for GML (Graph-Markup-Language) graph or partial graphviz DOT graph -
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Java generic API for search algorithms on graphs implicitly given by tree node expansion operator
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Graph Nets library
Build Graph Nets in Tensorflow
...This library implements the foundational ideas from DeepMind’s paper “Relational Inductive Biases, Deep Learning, and Graph Networks”, offering tools to explore relational reasoning and message-passing neural networks. Graph Nets supports both TensorFlow 1 and TensorFlow 2, working with CPU and GPU environments, and includes educational Jupyter demos for shortest path finding, sorting, and physical prediction tasks. The codebase emphasizes modularity, allowing users to easily define their own edge, node, and global update functions. -
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Rickshaw
JavaScript toolkit for creating interactive real-time graphs
Rickshaw provides the elements you need to create interactive graphs, renderers, legends, hovers, range selectors, etc. You put the pieces together. It's all based on d3 underneath, so graphs are drawn with standard SVG and styled with CSS. Customize all you like with techniques you already know. Rickshaw is free and open source, available under the MIT license. Developed at Shutterstock. Rickshaw relies on the fantastic D3 visualization library to do lots of the heavy lifting for stacking... -
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VivaGraph
Graph drawing library for JavaScript
VivaGraphJS is a powerful, high-performance graph drawing library for JavaScript that enables developers to visualize complex networks directly in the browser or in Node.js environments. It is designed for speed and scalability, handling large graph datasets with smooth rendering and interactive capabilities such as dragging nodes and zooming. The library supports multiple rendering backends including SVG, WebGL, and Canvas, allowing developers to choose the best balance of performance and... -
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Excel to Graphviz
Create graphviz diagrams with excel
Free, easy to use, excel tool to create data and process flow diagrams with table data In separate excel sheets you define items(nodes), lines(edges) and grouping(clusters) Separate definition of node, edge and cluster styles Graph settings sheet Output control sheet Examples and readme are included in the zip file Get it working: -Install graphviz (http://graphviz.org/Download.php) -Download Excel to Graphviz -Open one of the ExcelToGraphviz workbooks -Go to sheet settings and update "dotpath" to where graphviz' dot.exe was installed (e.g. ... -
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node2vec
Learn continuous vector embeddings for nodes in a graph using biased R
The node2vec project provides an implementation of the node2vec algorithm, a scalable feature learning method for networks. The algorithm is designed to learn continuous vector representations of nodes in a graph by simulating biased random walks and applying skip-gram models from natural language processing. These embeddings capture community structure as well as structural equivalence, enabling machine learning on graphs for tasks such as classification, clustering, and link prediction.... -
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Cycle.js
A functional and reactive JavaScript framework for predictable code
Cycle’s core abstraction is your application as a pure function main() where inputs are read effects (sources) from the external world and outputs (sinks) are write effects to affect the external world. These I/O effects in the external world are managed by drivers, plugins that handle DOM effects, HTTP effects, etc. The internals of main() are built using Reactive Programming primitives, which maximizes separation of concerns and provides a fully declarative way of organizing your code. The...
