Gyana

Website

gyana.com

Pricing URL

Official Gyana Pricing

$ Details

paid Free Trial £39.0 / Monthly (1 user, 1,000,000 rows of data, unlimited features and updates)

Platforms

Web Browser Google Chrome

Release Date

2016 June

Categories

#Reporting & Dashboard #Dashboard Software #Reporting Platform #Data Dashboard #No Code #Data Science

Jupyter

Website

jupyter.org

Pricing URL

-

$ Details

-

Platforms

-

Release Date

-

Categories

#Data Science And Machine Learning #Data Science Tools #Data Science Notebooks #Data Science IDE #Data Analysis

Gyana features and specs

• User-friendly Interface
  Gyana provides a simple and intuitive interface that makes it accessible for users without technical backgrounds to create visualizations and analyze data.
• No-code Platform
  As a no-code data analytics tool, Gyana allows users to perform complex data operations without writing any code.
• Customizable Dashboards
  Users can create personalized and interactive dashboards that cater to specific business needs and display real-time data insights.
• Integration Capabilities
  Gyana can connect with multiple data sources, enabling users to import and consolidate data from various platforms easily.
• Collaboration Features
  The platform offers collaborative features that allow teams to work together on data projects, share insights, and improve efficiency.

Possible disadvantages of Gyana

• Limited Advanced Features
  While Gyana is excellent for basic to intermediate analytics, it may lack some advanced features that professionals in data science might require.
• Pricing Structure
  Depending on the needs of a business, the cost associated with subscribing to Gyana might not be budget-friendly for smaller organizations.
• Learning Curve
  Despite being a no-code platform, some users may still experience a learning curve when adapting to its features and functionality.
• Scalability Issues
  The platform might encounter challenges when handling large datasets, which can be a limitation for enterprises requiring extensive data processing.
• Dependence on Internet Connectivity
  Cloud-based operation means users need a stable internet connection to access and use the platform effectively, which might not always be feasible in remote areas.

Jupyter features and specs

• Interactive Computing
  Jupyter allows real-time interaction with the data and code, providing immediate feedback and making it easier to experiment and iterate.
• Rich Media Output
  It supports output in various formats including HTML, images, videos, LaTeX, and more, enhancing the ability to visualize and interpret results.
• Language Agnostic
  Jupyter supports multiple programming languages through its kernel system (e.g., Python, R, Julia), allowing flexibility in the choice of tools.
• Collaborative Features
  It enables collaboration through shared notebooks, version control, and platform integrations like GitHub.
• Educational Tool
  Jupyter is widely used for teaching, thanks to its easy-to-use interface and ability to combine narrative text with code, making it ideal for assignments and tutorials.
• Extensibility
  Jupyter is highly extensible with a large ecosystem of plugins and extensions available for various functionalities.

Possible disadvantages of Jupyter

• Performance Issues
  For larger datasets and more complex computations, Jupyter can be slower compared to running scripts directly in a dedicated IDE.
• Version Control Challenges
  Managing version control for Jupyter notebooks can be cumbersome, as they are not plain text files and include metadata that can make diffing and merging complex.
• Resource Intensive
  Running Jupyter notebooks can be resource-intensive, especially when working with multiple large notebooks simultaneously.
• Security Concerns
  Because Jupyter allows code execution in the browser, it can be a potential security risk if notebooks from untrusted sources are run without restrictions.
• Dependency Management
  Managing dependencies and ensuring that the notebook runs consistently across different environments can be challenging.
• Less Suitable for Production
  Jupyter is often considered more as a research and educational tool rather than a production environment; transitioning from a notebook to production code can require significant refactoring.

No Gyana videos yet. You could help us improve this page by suggesting one.

Add video

What is Jupyter Notebook?

More videos: