Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

Description

DIA (Decentralised Information Asset) serves as an open-source oracle framework that facilitates the sourcing, supplying, and sharing of reliable data among market participants. In the decentralized finance (DeFi) sector, access to trustworthy and scalable data feeds is crucial for developing dependable products and protecting against potential exploitation and manipulation. By utilizing crypto-economic incentives and community insights, DIA effectively sources, validates, and disseminates trusted financial information. The platform rewards participants who contribute to data sourcing and validation through bounties funded by DIA tokens. All information is gathered from primary sources and directed to DIA's servers, where the database is hashed on-chain for security. Additionally, all relevant scraper code and documentation are made available on GitHub. Users can access this data through API endpoints or Oracles, enabling lending platforms, index providers, prediction markets, and others to tap into DIA’s open-source and validated data streams freely. This collaborative approach not only enhances data integrity but also fosters innovation within the DeFi ecosystem.

Description

An open-source platform for monitoring machine learning models offers robust observability features. It allows users to evaluate, test, and oversee models throughout their journey from validation to deployment. Catering to a range of data types, from tabular formats to natural language processing and large language models, it is designed with both data scientists and ML engineers in mind. This tool provides everything necessary for the reliable operation of ML systems in a production environment. You can begin with straightforward ad hoc checks and progressively expand to a comprehensive monitoring solution. All functionalities are integrated into a single platform, featuring a uniform API and consistent metrics. The design prioritizes usability, aesthetics, and the ability to share insights easily. Users gain an in-depth perspective on data quality and model performance, facilitating exploration and troubleshooting. Setting up takes just a minute, allowing for immediate testing prior to deployment, validation in live environments, and checks during each model update. The platform also eliminates the hassle of manual configuration by automatically generating test scenarios based on a reference dataset. It enables users to keep an eye on every facet of their data, models, and testing outcomes. By proactively identifying and addressing issues with production models, it ensures sustained optimal performance and fosters ongoing enhancements. Additionally, the tool's versatility makes it suitable for teams of any size, enabling collaborative efforts in maintaining high-quality ML systems.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Moonbeam
Moonriver
ZenML
Zeroswap

Integrations

Moonbeam
Moonriver
ZenML
Zeroswap

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

$500 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

DIA Association

Founded

2018

Country

Switzerland

Website

diadata.org

Vendor Details

Company Name

Evidently AI

Founded

2020

Country

United States

Website

www.evidentlyai.com

Product Features

Product Features

Data Quality

Address Validation
Data Deduplication
Data Discovery
Data Profililng
Master Data Management
Match & Merge
Metadata Management

Machine Learning

Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization

Natural Language Processing

Co-Reference Resolution
In-Database Text Analytics
Named Entity Recognition
Natural Language Generation (NLG)
Open Source Integrations
Parsing
Part-of-Speech Tagging
Sentence Segmentation
Stemming/Lemmatization
Tokenization

Alternatives

Alternatives