Gatsby
Blazing-fast site generator for React with a rich plugin ecosystem.
Open the official app on www.gatsbyjs.com
This tool is hosted by its maintainers. Click below to open www.gatsbyjs.com in a new tab — it's their official demo.
Browse generators tools →What's next with Gatsby?
Choose how you want to get started.
Use it free
Open the official tool or demo — no account needed.
Self-host it
Run the open-source version on your own infrastructure.
What is Gatsby?
Gatsby is an open-source framework built on React, designed to create fast, secure, and scalable websites and applications. It leverages static-site generation (SSG) while offering flexibility through server-side rendering (SSR) and dynamic site generation (DSG). Developers use Gatsby to build content-rich experiences by integrating data from diverse sources like Markdown files, headless CMS platforms, or REST/GraphQL APIs. Its unified GraphQL data layer simplifies data fetching and reduces boilerplate code. The framework is particularly popular among professionals needing high performance and maintainability, such as marketers, developers, and content creators. Gatsby addresses the challenge of balancing speed with dynamic functionality, enabling sites to load quickly while supporting real-time interactions. Its MIT license and large community (56,000 stars) make it accessible for both individual projects and enterprise-scale deployments.
How it works
Gatsby is a React-based framework that combines static-site generation with advanced rendering techniques to deliver high-performance websites. It prioritizes speed by pre-rendering content during the build process, ensuring fast load times for users. The framework is ideal for developers seeking to create maintainable, content-driven sites with minimal latency. Its focus on performance and scalability makes it suitable for applications ranging from blogs to complex enterprise platforms. Gatsby excels at integrating data from multiple sources via its GraphQL data layer, allowing developers to pull content from Markdown files, headless CMSs like Contentful, or APIs. It also supports server-side rendering (SSR) and dynamic site generation (DSG) for hybrid applications. Features like Cloud Functions enable backend logic, while plugins simplify tasks such as image optimization or SEO.
How to use it
- 1Install Gatsby CLI via npm. 2. Create a new project using `gatsby new [project-name]`. 3. Configure data sources by installing source plugins (e.g., `gatsby-source-contentful`). 4. Query data via GraphQL in components. 5. Build the site with `gatsby build` and deploy using Netlify or Vercel. Practical tips: Use starters for templates, leverage the GraphiQL IDE for GraphQL testing, and optimize images with plugins like `gatsby-plugin-image`.
What it can do
- react static site
Use cases
Assumptions and limitations
Assumptions
- source: https://github.com/gatsbyjs/gatsby
- license: MIT — free to use
- privacy: Self-hosted — you control your data
Limitations
- Steep learning curve for developers unfamiliar with React or GraphQL
- Limited real-time functionality compared to traditional server-rendered apps
- Complexity in configuring advanced features like DSG or Cloud Functions
- Dependence on third-party plugins for specialized workflows
- Potential performance overhead from excessive GraphQL queries
Understanding the result
Blazing-fast site generator for React with a rich plugin ecosystem.
Tool details
- Clearly flagged when a network request is needed.
- No account, no sign-up, and no tracking of your content.
- Powered by (MIT).
- Built with
- (gatsbyjs/gatsby)
- License
- MIT
- Runs locally
- No — requires a network request
- Verification
- Not yet verified
- Input
- Query
- Output
- Text
Built with gatsbyjs/gatsby. OpenToolVault provides the discovery and browser interface while crediting the original project maintainers.
- Built with
- License
- MIT
Open-source project
OpenToolVault is an independent directory. We are not affiliated with or endorsed by this project.
References
- / — GitHub Repository
Upstream project · GitHub
- MIT License
Upstream project
Frequently asked
How does Gatsby handle data from multiple sources?
Gatsby uses its GraphQL data layer to unify data from diverse sources like Markdown files, CMS platforms, or APIs. Developers install source plugins to connect to specific data systems, then query all data through a single GraphQL interface. This eliminates the need for custom integration code and ensures consistent data handling across the site.
How does Gatsby achieve fast load times?
Gatsby pre-renders pages during the build process using static-site generation (SSG). This creates optimized HTML, CSS, and JavaScript files that load instantly in browsers. For dynamic content, it supports server-side rendering (SSR) and dynamic site generation (DSG) to balance speed with real-time functionality. Images are also optimized using plugins to reduce file sizes.
How do I deploy a Gatsby site to Netlify?
After building your site with `gatsby build`, push code to a Git repository. Netlify automatically detects the Gatsby project and deploys it using its built-in build command. You can customize settings in the Netlify dashboard, such as environment variables or build configurations. Netlify also provides a free tier for hosting static sites.
How does Gatsby compare to Next.js?
Gatsby focuses on static-site generation with a strong emphasis on performance and content-driven sites, while Next.js offers more flexibility for hybrid applications with both static and server-rendered pages. Gatsby’s unified GraphQL data layer simplifies content integration, whereas Next.js requires manual setup for data fetching. Both frameworks use React but differ in their core architecture and use cases.
How do I fix a 'GraphQL query failed' error?
This error typically occurs when a query references non-existent data fields. Check the GraphQL schema in GraphiQL to verify field names and types. Ensure all source plugins are correctly configured to fetch data. If using a CMS, confirm that content is properly formatted and synced. Simplify complex queries to isolate the issue, then gradually add complexity.