Wakari

Wakari

Wakari is a cloud-based data analysis platform that allows users to conduct scientific computing and data analysis through a web browser. It provides access to popular programming languages like Python and R as well as common data science libraries without needing to install anyt
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cloudbased data-analysis programming python r

Wakari: Cloud-Based Data Analysis Platform

Wakari allows users to conduct scientific computing and data analysis through a web browser, providing access to popular programming languages like Python and R and common data science libraries without local installation.

What is Wakari?

Wakari is a cloud-based interactive data analysis platform designed for scientists, engineers, data analysts, and researchers to easily perform analysis on large datasets. It provides access to common data science tools and programming languages without needing to install anything locally.

Some key features of Wakari include:

  • Browser-based notebooks for Python, R, Julia, Scala, Javascript, and more with support for over 50 data science libraries out of the box
  • Unlimited storage and computing power thanks to running on a cloud infrastructure
  • Real-time collaboration allowing multiple users to edit the same notebooks simultaneously
  • Integrated data visualization tools for plotting charts, graphs, and maps
  • Support for big data technologies like Spark, Hadoop, NoSQL databases, and more
  • Secure data hosting with user access controls and encryption

By running in the cloud, Wakari makes it fast and simple for data scientists to get started with analysis without worrying about software dependencies or infrastructure setup. Its collaborative features also make it easy to share analysis with colleagues. Overall, it aims to reduce cycle times for gaining insight from data.

Wakari Features

Features

  1. Browser-based IDE for Python, R, Julia, Scala, etc
  2. Pre-installed data science libraries like NumPy, Pandas, Matplotlib, etc
  3. Built-in Jupyter notebooks
  4. Version control integration
  5. Real-time collaboration features
  6. Hosted storage for data and notebooks
  7. Web-based terminal access
  8. Admin dashboard to manage users and resources

Pricing

  • Freemium
  • Subscription-Based

Pros

No local installation required

Quick start for data analysis

Collaboration features

Centralized storage and access

Scalable computing resources

Cons

Dependent on internet connection

Limited customization compared to local setup

Constrained to predefined environments

Data privacy concerns with cloud hosting

Possibility of service downtime


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