Chartify is a Python library specifically designed to make it easy for data scientists to create charts.

Here is a summary of its main features and functionalities:

Core Library Functionalities (Chartify)

• Chart Creation for Data Scientists: Chartify is a Python library that makes it easy for data scientists to create charts.

• Simple and Intuitive API: The project prioritizes ease of use, having a simple API that is intuitive and easy to learn.

• Consistent Data Input: All plotting functions utilize a consistent tidy input data format, which reduces the time spent transforming data.

• Smart Default Styles: Users can create pretty charts with very little customization required due to the built-in smart default styles.

• Underlying Technology and Flexibility: Chartify is built on top of Bokeh. This provides flexibility, allowing users to fall back on Bokeh's API if they need more control.

• Installation: It can be installed via pip (pip3 install chartify).

• PNG Output Requirement (Optional): For users who require PNG output, an additional dependency, chromedriver, must be installed and configured in their system PATH.

• Support and Licensing: The project adheres to the Apache-2.0 license and offers support via the chartify tag on StackOverflow.

GitHub Platform Features (Context)

As Chartify is hosted on GitHub, it utilizes the platform's developer environment features:

• AI and Code Tools: Features like GitHub Copilot (to write better code with AI), GitHub Spark (to build and deploy intelligent apps), and GitHub Models (to manage and compare prompts) are available.

• Development Workflow: Developers can use Actions (to automate workflows), Codespaces (for instant dev environments), Issues (to plan and track work), and Code Review (to manage code changes).

• Security: GitHub Advanced Security helps users find and fix vulnerabilities.

• Search and Exploration: Users can search code, repositories, users, issues, and pull requests, and utilize saved searches to filter results more quickly.