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What is Quadratic?

Quadratic transforms team collaboration in data analysis, leading to faster results. While you might already be accustomed to using spreadsheets, the functionalities provided by Quadratic are truly innovative. It seamlessly incorporates Formulas and Python, with upcoming support for SQL and JavaScript. You and your team can work with the programming languages you are already familiar with. Unlike traditional single-line formulas that can be hard to understand, Quadratic enables you to spread your formulas over multiple lines, enhancing readability. Additionally, the platform provides built-in support for Python libraries, allowing you to easily integrate the latest open-source tools into your spreadsheets. The most recently executed code is automatically retrieved back to the spreadsheet, supporting raw values, 1/2D arrays, and Pandas DataFrames as standard features. You can quickly pull data from external APIs, with any updates being reflected in Quadratic's cells automatically. The user interface is designed for easy navigation, allowing you to zoom out for a general view or zoom in to focus on detailed information. You can organize and explore your data in ways that suit your thinking process, breaking free from the limitations of conventional tools. This adaptability not only boosts efficiency but also encourages a more instinctive method of managing data, setting a new standard for how teams collaborate and analyze information.

What is MLJAR Studio?

This versatile desktop application combines Jupyter Notebook with Python, enabling effortless installation with just one click. It presents captivating code snippets in conjunction with an AI assistant designed to boost your coding productivity, making it a perfect companion for anyone engaged in data science projects. We have thoughtfully crafted over 100 interactive code recipes specifically for your data-related endeavors, capable of recognizing available packages in your working environment. With a single click, users have the ability to install any necessary modules, greatly optimizing their workflow. Moreover, users can effortlessly create and manipulate all variables in their Python session, while these interactive recipes help accelerate task completion. The AI Assistant, aware of your current Python session, along with your variables and modules, is tailored to tackle data-related challenges using Python. It is ready to assist with a variety of tasks, such as plotting, data loading, data wrangling, and machine learning. If you face any issues in your code, pressing the Fix button will prompt the AI assistant to evaluate the problem and propose an effective solution, enhancing your overall coding experience. Furthermore, this groundbreaking tool not only simplifies the coding process but also significantly improves your learning curve in the realm of data science, empowering you to become more proficient and confident in your skills. Ultimately, its comprehensive features offer a rich environment for both novice and experienced data scientists alike.

Media

Media

Integrations Supported

Python
JavaScript
SQL

Integrations Supported

Python
Adobe Acrobat
Apache Parquet
GitHub
Google Sheets
HTML
Jupyter Notebook
Markdown
Matplotlib
OpenAI
Paddle
PayPal
Pickle
PostgreSQL
Stata
XML
pandas
scikit-learn

API Availability

Has API

API Availability

Pricing Information

Pricing not provided

Pricing Information

$20 per month
Free Version

Supported Platforms

SaaS

Supported Platforms

SaaS
Windows
Mac
Linux

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub

Company Facts

Organization Name

Quadratic

Company Website

www.quadratichq.com

Company Facts

Organization Name

MLJAR

Date Founded

2016

Company Location

Poland

Company Website

mljar.com

Categories and Features

AI Data Analytics

Not specified

AI Spreadsheet

Not specified

CSV Editors

Not specified

Data Science

Not specified

Spreadsheet

Not specified

Categories and Features

Data Science

Not specified

Machine Learning

Not specified

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