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What is esProc Desktop?

esProc Desktop serves as a user-friendly programming language designed specifically for individuals without a programming background, offering a powerful toolkit for data processing and analytics directly on their desktops. This software effectively addresses several challenges, including executing intricate calculations and transformations that Excel can handle, facilitating interactive data analysis across multiple stages that traditional BI tools often fail to manage, and streamlining the repetitive processing of batch files such as XLS and CSV formats through querying, calculating, generating, and converting data. With its intuitive and aesthetically pleasing interface, esProc Desktop empowers non-professional programmers to utilize its full programming capabilities seamlessly, allowing them to navigate and explore data independently while enhancing their analytical skills. Furthermore, the platform's integration with Excel makes it even more accessible for users looking to boost their data handling efficiency.

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.

Media

Media

Integrations Supported

Databricks Data Intelligence Platform
DuckDB
Snowflake

Integrations Supported

Databricks Data Intelligence Platform
DuckDB
Snowflake

API Availability

Has API

API Availability

Has API

Pricing Information

$99/user/year
Free Trial Offered?
Free Version

Pricing Information

Free
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

Scudata

Date Founded

2000

Company Location

Hong Kong

Company Website

www.scudata.com/esproc-desktop/

Company Facts

Organization Name

Observable

Date Founded

2017

Company Location

United States

Company Website

observablehq.com

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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