Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Zero-knowledge cryptography enables anonymous Know Your Customer (KYC) processes and soul-bound credentials, paving the way for a future where trust is anchored in blockchain technology. Notebook empowers users to safeguard their identities and personal information, facilitating secure authentication in a trustless environment. By utilizing fragmented identity and Zero-Knowledge Proofs, Notebook ensures that users remain anonymous while engaging with the system. Each Notebook is securely stored on-chain within a smart contract, establishing that ownership of identity and data rests solely with the individual, not any external entity. This innovative solution provides an efficient method to maintain summary statistics, including credit scores and records of negative behavior. By tracking such metrics, Notebook promotes a more equitable society where individuals are responsible for their actions and contribute to a collective sense of well-being. The Personally Identifiable Information (PII) needed during user onboarding prevents the creation of multiple Notebooks, thus protecting user privacy. Additionally, Notebook's identification framework is decoupled from wallet addresses, allowing users to carry their identity across different blockchain networks seamlessly. With these features, Notebook aims to redefine how we approach identity and trust in the digital realm.
Description
Coordinate, explore, and oversee all projects within your data science team efficiently. With Zepl's advanced search functionality, you can easily find and repurpose both models and code. The enterprise collaboration platform provided by Zepl allows you to query data from various sources like Snowflake, Athena, or Redshift while developing your models using Python. Enhance your data interaction with pivoting and dynamic forms that feature visualization tools such as heatmaps, radar, and Sankey charts. Each time you execute your notebook, Zepl generates a new container, ensuring a consistent environment for your model runs. Collaborate with teammates in a shared workspace in real time, or leave feedback on notebooks for asynchronous communication. Utilize precise access controls to manage how your work is shared, granting others read, edit, and execute permissions to facilitate teamwork and distribution. All notebooks benefit from automatic saving and version control, allowing you to easily name, oversee, and revert to previous versions through a user-friendly interface, along with smooth exporting capabilities to Github. Additionally, the platform supports integration with external tools, further streamlining your workflow and enhancing productivity.
API Access
Has API
No
API Access
Has API
No
Integrations
Amazon Athena
No
Amazon EMR
No
Amazon Redshift
No
Amazon S3
No
Apache Zeppelin
No
DataOps.live
No
FlyMSG
Yes
GitHub
No
Google Cloud BigQuery
No
Highcharts
No
Integrations
Amazon Athena
Yes
Amazon EMR
Yes
Amazon Redshift
Yes
Amazon S3
Yes
Apache Zeppelin
Yes
DataOps.live
Yes
FlyMSG
No
GitHub
Yes
Google Cloud BigQuery
Yes
Highcharts
Yes
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
Yes
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
No
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
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
No
Vendor Details
Company Name
Notebook
Founded
2022
Country
United States
Website
www.notebooklabs.xyz/
Vendor Details
Company Name
Zepl
Founded
2016
Country
United States
Website
www.zepl.com/product/
Product Features
Product Features
Data Science
Access Control
No
Advanced Modeling
No
Audit Logs
No
Data Discovery
No
Data Ingestion
No
Data Preparation
No
Data Visualization
No
Model Deployment
No
Reports
No
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
No
Predictive Analytics
AI / Machine Learning
No
Benchmarking
No
Data Blending
No
Data Mining
No
Demand Forecasting
No
For Education
No
For Healthcare
No
Modeling & Simulation
No
Sentiment Analysis
No