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What is Shapelets?

Unlock the potential of cutting-edge computing technology right at your fingertips. Thanks to advanced parallel processing and innovative algorithms, there's no reason to delay any further. Designed with data scientists in mind, particularly within the business sector, this comprehensive time-series platform offers unparalleled computing speed. Shapelets provides a robust array of analytical features, such as causality analysis, discord detection, motif discovery, forecasting, and clustering, among others. Users can also execute, enhance, and integrate their own algorithms within the Shapelets platform, fully harnessing the power of Big Data analytics. It seamlessly connects with various data collection and storage systems, ensuring compatibility with MS Office and other visualization applications, which simplifies the sharing of insights without requiring deep technical expertise. The user-friendly interface works in tandem with the server to deliver interactive visualizations, enabling you to effectively utilize your metadata and exhibit it through diverse modern graphical formats. Moreover, Shapelets empowers professionals in the oil, gas, and energy industries to perform real-time analyses of their operational data, thus improving decision-making processes and operational effectiveness. By leveraging Shapelets, you can turn intricate data into strategic insights that drive success and innovation in your field. This platform not only streamlines data analysis but also fosters a collaborative environment for teams to thrive.

What is RAW Graphs?

RAWGraphs is a project driven by community collaboration that takes cues from various open-source efforts. It provides users with nearly 30 unique visualization models, enabling them to analyze data related to quantities, hierarchies, and time series, thereby revealing essential insights. Although RAWGraphs functions as a web-based application, it ensures that all data processing takes place locally in the user's browser, prioritizing both privacy and security. Users have the flexibility to save their visualizations or export them in either vector or raster formats, allowing for easy editing in their chosen graphic design tools. Initially tailored for designers and data visualization fans, RAWGraphs aims to connect the functionalities of spreadsheet applications like Microsoft Excel with vector editing solutions such as Adobe Illustrator. This open-source platform was developed to make the visual representation of intricate datasets accessible to users with varying levels of expertise. The ongoing project is supported by a committed team that includes DensityDesign, Calibro, and Inmagik, who have worked together since 2019 to continually refine its features and user experience. Furthermore, the platform actively seeks feedback and contributions from the wider community, promoting ongoing innovation and enhancement. With its focus on usability, RAWGraphs empowers individuals to transform their data into compelling visuals effortlessly.

Media

Media

Integrations Supported

Amazon S3
Apache HBase
Apache Kafka
Azure Blob Storage
Google Cloud Storage
HPE Ezmeral Data Fabric
Microsoft Excel
Microsoft Office 2021
Microsoft PowerPoint
MongoDB
Qlik Data Integration
SAS MDM
Spotfire
Strategy ONE
Tableau

Integrations Supported

API Availability

Has API

API Availability

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Not specified

Training Options

Documentation Hub
Online Training

Training Options

Not specified

Company Facts

Organization Name

Shapelets

Company Location

Spain

Company Website

shapelets.io

Company Facts

Organization Name

DensityDesign

Company Location

United States

Company Website

rawgraphs.io

Categories and Features

Data Science

Not specified

Data Visualization

Not specified

Graphing

Not specified

Categories and Features

Data Visualization

Not specified

Graphing

Not specified

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