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ease
features
design
support

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Description

NodeXL serves as a versatile template for Microsoft® Excel® (versions 2007, 2010, 2013, and 2016) compatible with Windows operating systems (XP, Vista, 7, 8, and 10), allowing users to input a network edge list directly into a workbook and effortlessly generate a network graph with the click of a button, alongside a comprehensive summary report, all within the user-friendly Excel® interface. Users have the option to customize the graph's visual style, as well as zoom, scale, and pan for better viewing. It also enables the calculation of essential graph metrics, dynamic filtering of vertices and edges, and rearranging the graph's layout to enhance clarity. Additionally, users can identify clusters of interconnected vertices. By opting for NodeXL Pro, users can access a 12-month license that unlocks advanced features, including the calculation of sophisticated graph metrics and the ability to import and export graphs in various file formats. The software provides integration with major social networks like Twitter, Facebook, Flickr, YouTube, and others, facilitating seamless data collection from these platforms. Furthermore, it allows for the automation of network graph creation and collection processes. For those who utilize Excel® on Windows, NodeXL Basic is available for immediate download, while NodeXL Pro offers further enhancements for a more robust experience. This makes NodeXL an invaluable tool for anyone interested in analyzing and visualizing complex network relationships.

Description

Substrate serves as the foundation for agentic AI, featuring sophisticated abstractions and high-performance elements, including optimized models, a vector database, a code interpreter, and a model router. It stands out as the sole compute engine crafted specifically to handle complex multi-step AI tasks. By merely describing your task and linking components, Substrate can execute it at remarkable speed. Your workload is assessed as a directed acyclic graph, which is then optimized; for instance, it consolidates nodes that are suitable for batch processing. The Substrate inference engine efficiently organizes your workflow graph, employing enhanced parallelism to simplify the process of integrating various inference APIs. Forget about asynchronous programming—just connect the nodes and allow Substrate to handle the parallelization of your workload seamlessly. Our robust infrastructure ensures that your entire workload operates within the same cluster, often utilizing a single machine, thereby eliminating delays caused by unnecessary data transfers and cross-region HTTP requests. This streamlined approach not only enhances efficiency but also significantly accelerates task execution times.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Python
Slack
Stable Diffusion
TypeScript

Integrations

Python
Slack
Stable Diffusion
TypeScript

Pricing Details

$749 per year
Free Trial
Free Version

Pricing Details

$30 per month
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Social Media Research Foundation

Founded

2010

Country

United States

Website

www.nodexlgraphgallery.org

Vendor Details

Company Name

Substrate

Founded

2023

Country

United States

Website

www.substrate.run/

Product Features

Data Analysis

Data Discovery
Data Visualization
High Volume Processing
Predictive Analytics
Regression Analysis
Sentiment Analysis
Statistical Modeling
Text Analytics

Data Visualization

Analytics
Content Management
Dashboard Creation
Filtered Views
OLAP
Relational Display
Simulation Models
Visual Discovery

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