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Description

Hyperledger Fabric serves as a robust, distributed ledger platform tailored for enterprises, providing a high level of modularity and flexibility suitable for various industry applications. Its design incorporates a modular architecture that supports the wide-ranging needs of businesses by allowing for plug-and-play components, including those for consensus mechanisms, privacy features, and membership services. This platform is designed to support the development of applications or solutions grounded in a modular framework, promoting ease of integration and customization. Hyperledger Fabric's unique plug-and-play capabilities for components like consensus and membership services enhance its adaptability across different sectors. Its innovative approach to consensus allows for scalable performance while ensuring that privacy is maintained, which is essential for many organizations. A particularly striking feature of Fabric is its ability to facilitate networks of networks, enabling collaboration among members while allowing them to keep certain data confidential, thereby fostering both cooperation and privacy within their respective business relationships. This capacity for maintaining separate yet interconnected relationships makes Hyperledger Fabric a highly valuable tool for enterprises navigating complex data privacy needs.

Description

Protégé benefits from a robust network of users from academia, government, and industry, who utilize it to create knowledge-driven solutions across various fields such as biomedicine, e-commerce, and organizational modeling. Its versatile plug-in architecture allows for the development of both straightforward and intricate ontology-based applications. Developers have the capability to connect Protégé's outputs with rule systems or other problem-solving tools, enabling the creation of a diverse array of intelligent systems. Crucially, the dedicated Stanford team, alongside the extensive Protégé community, is readily available to provide assistance. This community actively engages by answering inquiries, contributing to documentation, and developing plug-ins. Furthermore, Protégé's foundation in Java enhances its extensibility, while its plug-and-play environment ensures it serves as a flexible platform for quick prototyping and application development, paving the way for innovative projects and solutions.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Amazon Managed Blockchain Yes 
Amazon Quantum Ledger Database (QLDB) Yes 
Assurance Reimbursement Management Yes 
BlockSpaces Yes 
Blockdaemon Yes 
Infinite Block Tech Yes 
KIR Chain Labs Yes 
Kaleido Yes 
MediConCen Yes 
OriginTrail Yes 
SIMBA Chain Yes 
SettleMint Yes 
Unbound Crypto Asset Security Platform Yes 
Wanchain Yes 

Integrations

Amazon Managed Blockchain No 
Amazon Quantum Ledger Database (QLDB) No 
Assurance Reimbursement Management No 
BlockSpaces No 
Blockdaemon No 
Infinite Block Tech No 
KIR Chain Labs No 
Kaleido No 
MediConCen No 
OriginTrail No 
SIMBA Chain No 
SettleMint No 
Unbound Crypto Asset Security Platform No 
Wanchain No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Hyperledger

Founded

2015

Country

United States

Website

www.hyperledger.org/use/fabric

Vendor Details

Company Name

Center for Biomedical Informatics Research

Country

United States

Website

protege.stanford.edu/

Product Features

Machine Learning

Deep Learning No 
ML Algorithm Library No 
Model Training No 
Natural Language Processing (NLP) No 
Predictive Modeling No 
Statistical / Mathematical Tools No 
Templates No 
Visualization Yes 

Alternatives

Alternatives

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