Search Results for "graph"
Sort By:
Showing 400 open source projects for "graph"
View related business solutions-
Our Free Plans just got better! | Auth0You asked, we delivered! Auth0 is excited to expand our Free and Paid plans to include more options so you can focus on building, deploying, and scaling applications without having to worry about your security. Auth0 now, thank yourself later.
-
Context for your AI agentsBuild data pipelines that feed your AI models and agents without managing infrastructure. Crawl any website, transform content, and push directly to your preferred vector store. Use 10,000+ tools for RAG applications, AI assistants, and real-time knowledge bases. Monitor site changes, trigger workflows on new data, and keep your AIs fed with fresh, structured information. Cloud-native, API-first, and free to start until you need to scale.
-
1
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. -
2
Graph NotebookAmazon GameLift Unity
Access GameLift resources and integrate GameLift into your Unity game
The Amazon GameLift Plugin for Unity contains libraries and native UI that makes it easier to access GameLift resources and integrate GameLift into your Unity game. You can use the GameLift Unity Plugin to access GameLift APIs and deploy AWS CloudFormation templates for common gaming scenarios. Auth Only, this scenario creates a game backend service that performs only player authentication and no game server capability. It creates a Cognito user pool to store player authentication... -
3
G6
A Graph Visualization Framework in JavaScript
G6 is graph visualization engine with simplicity and convenience. Based on the ability to customize, it provides a set of elegant graph visualization solutions and helps developers to build up applications for graph visualization, graph analysis, and graph editor. G6 is a complete graph visualization engine, which focuses on relational data. -
4
Plotly Graphing Library for MATLAB
Plotly Graphing Library for MATLAB
Create interactive charts in your web browser with MATLAB® and Plotly. -
Turn traffic into pipeline and prospects into customersDocket is an AI-powered sales enablement platform designed to unify go-to-market (GTM) data through its proprietary Sales Knowledge Lake™ and activate it with intelligent AI agents. The platform helps marketing teams increase pipeline generation by 15% by engaging website visitors in human-like conversations and qualifying leads. For sales teams, Docket improves seller efficiency by 33% by providing instant product knowledge, retrieving collateral, and creating personalized documents. Built for GTM teams, Docket integrates with over 100 tools across the revenue tech stack and offers enterprise-grade security with SOC 2 Type II, GDPR, and ISO 27001 compliance. Customers report improved win rates, shorter sales cycles, and dramatically reduced response times. Docket’s scalable, accurate, and fast AI agents deliver reliable answers with confidence scores, empowering teams to close deals faster.
-
5
DGL
Python package built to ease deep learning on graph
...We want to make it easy to implement graph neural networks model family. We also want to make the combination of graph based modules and tensor based modules (PyTorch or MXNet) as smooth as possible. DGL provides a powerful graph object that can reside on either CPU or GPU. It bundles structural data as well as features for a better control. We provide a variety of functions for computing with graph objects including efficient and customizable message passing primitives for Graph Neural Networks. -
6
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. ... -
7
XTDB
General-purpose bitemporal database for SQL, Datalog & graph queries
XTDB is a general-purpose bitemporal database for SQL, Datalog & graph queries. XTDB contains a perfect, immutable record of every fact your system has ever known. See the entire history of your business, everywhere. Immutable records are incomplete without time-traveling queries. XTDB allows you to query the entire timeline. Make retroactive corrections, simplify data migrations, and get clarity on out-of-order events. -
8
Spring Data Neo4j
Provide support to increase developer productivity in Java
Spring Data Neo4j, part of the larger Spring Data family, provides easy configuration and access to Neo4j Graph Databases from Spring applications. It offers three different levels of abstraction to access the store. The Neo4j client, the Neo4j Template, and the Neo4j Repositories. Spring Data Neo4j offers advanced features to map annotated entity classes to the Neo4j Graph Database. The template programming model is equivalent to other Spring templates and builds the basis for interaction with the graph and is also used for the Spring Data repository support. ... -
9
DeepCopy
Create deep copies (clones) of your objects
DeepCopy helps you create deep copies (clones) of your objects. It is designed to handle cycles in the association graph. How do you create deep copies of your objects (i.e. copying also all the objects referenced in the properties)? You use __clone() and implement the behavior yourself. DeepCopy recursively traverses all the object's properties and clones them. To avoid cloning the same object twice it keeps a hash map of all instances and thus preserves the object graph. ... -
Top Corporate LMS for Training | Best Learning Management SoftwareAxis LMS enables you to deliver online and virtual learning and training through a scalable, easy-to-use LMS that is designed to enhance your training, automate your workflows, engage your learners and keep you compliant.
-
10
Apache Spark
A unified analytics engine for large-scale data processing
Apache Spark is a unified engine for large-scale data processing, offering APIs for batch jobs, streaming, machine learning, and graph computation. It builds on resilient distributed datasets (RDDs) and the newer DataFrame/Dataset abstractions to provide fault-tolerant, in-memory computation across clusters. Spark’s execution engine handles scheduling, shuffles, caching, and data locality so users can focus on transformations rather than infrastructure plumbing. -
11
Nestjs boilerplate Microservice API
Nestjs boilerplate microservice api
A boilerplate for building microservices with NestJS, this provides a template with essential components for microservice architecture. -
12
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. -
13
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”. -
14
Joern
Open-source code analysis platform for C/C++/Java/Binary/Javascript
Joern is a platform for analyzing source code, bytecode, and binary executables. It generates code property graphs (CPGs), a graph representation of code for cross-language code analysis. Code property graphs are stored in a custom graph database. This allows code to be mined using search queries formulated in a Scala-based domain-specific query language. Joern is developed with the goal of providing a useful tool for vulnerability discovery and research in static program analysis. -
15
A Fluent Builder For Schema.org Types
A fluent builder Schema.org types and ld+json generator
...We publish all received postcards on our virtual postcard wall. If you don't want to break the chain of a large schema object, you can use the if method to conditionally modify the schema. The Graph has a lot of methods and utilities - the type-safe and simplest way is to use the overloaded methods of the Spatie\SchemaOrg\Schema class itself. -
16
Microsoft Kiota
OpenAPI based HTTP Client code generator
Microsoft Kiota is an open-source tool that generates client libraries from OpenAPI descriptions, making it easier to interact with RESTful APIs. It is designed to work seamlessly with Microsoft Graph and other API ecosystems, providing strongly typed SDKs in multiple programming languages. Kiota simplifies API consumption by automating the creation of client libraries, reducing the manual effort needed to integrate with APIs. -
17
Schema.DTS
JSON-LD TypeScript types for Schema vocabulary
...It supplies both high-level discriminated unions and helper types to model contexts, graphs, and linked data relationships with clarity and accuracy. Usage examples demonstrate how one can import types like Person, WithContext, or Graph and compose JSON-LD objects in a way that aligns with semantic-web and knowledge-graph practices. The repository also contains a generator tool that can pull ontology definitions and emit TypeScript definitions in bulk, ensuring the typings stay up to date and maintain consistency. It supports scenarios such as nested objects, graphs of entities, and action types with input/output constraints, which makes it suitable for rich metadata authoring and linked-data workflows. ... -
18
OpenTofu
OpenTofu lets you declaratively manage your cloud infrastructure
Truly open-source under a well-known and widely-accepted license that companies can trust, that won’t suddenly change in the future and isn’t subject to the whims of a single vendor. Community-driven so that the community governs the project for the community, where pull requests are regularly reviewed and accepted on their merit. Impartial so that valuable features and fixes are accepted based on their value to the community, regardless of their impact on any particular vendor. Layered and... -
19
VulkanSceneGraph
Vulkan & C++17 based Scene Graph Project
VulkanSceneGraph (VSG), is a modern, cross-platform, high-performance scene graph library built upon Vulkan graphics/compute API. The software is written in C++17 and follows the CppCoreGuidelines and FOSS Best Practices. The source code is published under the MIT License, with the exception of vulkan.h, used for Vulkan extensions, which is under Apache License 2.0. This repository contains C++ headers and source and CMake build scripts to build the libvsg library. -
20
Graphene-Django
Integrate GraphQL into your Django project
...Our primary focus in this tutorial is to give a good understanding of how to connect models from Django ORM to Graphene object types. GraphQL presents your objects to the world as a graph structure rather than a more hierarchical structure to which you may be accustomed. In order to create this representation, Graphene needs to know about each type of object which will appear in the graph. -
21
The Algorithms Python
All Algorithms implemented in Python
...Each implementation is designed with clarity in mind, favoring readability and comprehension over performance optimization. The project covers various domains including mathematics, cryptography, machine learning, sorting, graph theory, and more. With contributions from a large global community, it continually grows and improves through collaboration and peer review. This repository is an ideal reference for students, educators, and developers seeking hands-on experience with algorithmic concepts in Python. -
22
Guava
Google core libraries for Java
Guava is a set of core libraries that includes new collection types (such as multimap and multiset), immutable collections, a graph library, and utilities for concurrency, I/O, hashing, primitives, strings, and more! -
23
PyG
Graph Neural Network Library for PyTorch
PyG (PyTorch Geometric) is a library built upon PyTorch to easily write and train Graph Neural Networks (GNNs) for a wide range of applications related to structured data. It consists of various methods for deep learning on graphs and other irregular structures, also known as geometric deep learning, from a variety of published papers. In addition, it consists of easy-to-use mini-batch loaders for operating on many small and single giant graphs, multi GPU-support, DataPipe support, distributed graph learning via Quiver, a large number of common benchmark datasets (based on simple interfaces to create your own), the GraphGym experiment manager, and helpful transforms, both for learning on arbitrary graphs as well as on 3D meshes or point clouds. ... -
24
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. -
25
TorchQuantum
A PyTorch-based framework for Quantum Classical Simulation
...Researchers on quantum algorithm design, parameterized quantum circuit training, quantum optimal control, quantum machine learning, and quantum neural networks. Dynamic computation graph, automatic gradient computation, fast GPU support, batch model terrorized processing.
