Overview
The Gatsby V1 Scientific Starter Blog serves as a powerful platform for those engaged in science, mathematics, and machine learning writing. This starter blog is tailored to streamline the process of creating and showcasing research and machine learning demonstrations, making it an excellent choice for academics and practitioners looking to establish an online presence. Its design emphasizes customizability, enabling users to modify content to fit their unique needs easily.
With a focus on usability and functionality, this blog starter incorporates essential tools and plugins that enhance the writing experience. Whether you’re writing posts or developing intricate data-driven presentations, this solution aims to facilitate a seamless workflow from concept to publication.
Features
- Markdown Content Editing: Easily modify your posts, pages, and components using Markdown files and GraphQL, ensuring straightforward content management.
- TensorFlow.js Integration: The package has been adapted to support TensorFlow.js, allowing you to implement machine learning models efficiently within your blog.
- Chart.js Integration: Utilizes Chart.js for data visualization, providing an alternative to Plotly for rendering loss and accuracy functions with smooth deployment.
- KaTeX Support: Effortlessly include mathematical expressions and research-related equations in your content using KaTeX, ideal for scientific documentation.
- CSV Plugin Compatibility: Work with CSV files seamlessly, enabling easy data manipulation and presentation for your scientific analyses.
- DataGraph Plugin: Integrates graphical schemes in your Markdown files using Mermaid, enhancing the visualization capabilities of your blog.
- Customizable Styles: Offers easy-to-change base styles, allowing users to personalize their blog’s appearance to match their branding or personal preferences.
- Robust Development Tools: Comes preconfigured with ESLint, Prettier, Webpack, and Babel to streamline the development process and prevent crashes during builds.
