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What is Observable?

Explore new viewpoints, tackle a variety of questions, and improve your decision-making skills. With just a click, you can easily kick off your next endeavor, ensuring that no inquiry goes unanswered. You can start by forking projects from your peers or engaging with Observable’s vast community of visualization and analysis experts. Incorporate some of Observable’s visualization tools and user interface elements, or use custom code with any JavaScript library you prefer. The scope for creativity is boundless; create projects that reflect your individual style and preferences. Participate in conversations by leaving comments and suggesting changes, or engage in impromptu live coding sessions with your teammates. Learn from specialists in our community forum, which serves as a valuable resource for knowledge sharing. While viewers can access a private notebook that has been shared with them, they do not have permission to modify its content. In contrast, editors can alter the notebook, collaborate effectively, and manage its access settings. However, viewers can still fork the notebook to create their own editable copy. Furthermore, you have the capability to export your code as native JavaScript modules, enabling them to operate smoothly across different platforms using the open-source Observable runtime, thereby enhancing the flexibility and impact of your project. This seamless integration opens up new avenues for collaboration and innovation within your team.

What is Dtangle?

Dtangle specializes in transforming complex data networks into easily digestible insights. By leveraging cutting-edge open-source technology from CERN alongside advanced AI capabilities, Dtangle makes intricate data landscapes accessible and actionable. Our innovative offerings empower users to sift through data with incredible precision, helping them identify key information amid the clutter. Furthermore, Dtangle’s visual analytics tools facilitate the examination of data from multiple viewpoints, ensuring that essential data threads are always within reach. Even the most tangled data systems become clear, as we translate complexity into visuals that effectively communicate clarity. At Dtangle, we provide advanced visual solutions aimed at helping organizations interpret their data trends. Our user-friendly interfaces enable those without a deep background in data to derive meaningful insights. By pushing the boundaries of data analysis, Dtangle allows users to transcend traditional data and network evaluations, thus fully harnessing the potential of data science. This innovative methodology not only deepens understanding but also fosters informed decision-making, which is crucial in today’s data-centric environment. Ultimately, our mission at Dtangle is to democratize data interpretation, making it accessible for all.

Media

Media

Integrations Supported

AccessOwl
Databricks
DuckDB
Snowflake

Integrations Supported

AccessOwl
Databricks
DuckDB
Snowflake

API Availability

Has API

API Availability

Has API

Pricing Information

Free
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Observable

Date Founded

2017

Company Location

United States

Company Website

observablehq.com

Company Facts

Organization Name

Dtangle

Company Location

Switerland

Company Website

dtangle.ch/

Categories and 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

Categories and 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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