Pelican
Open-source static site generator written in Python with Jinja2 templating.
Open the official app on blog.getpelican.com
This tool is hosted by its maintainers. Click below to open blog.getpelican.com in a new tab — it's their official demo.
Browse text & tools tools →What's next with Pelican?
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 Pelican?
Pelican is an open-source static site generator written in Python, designed to create fast, scalable websites by converting content written in Markdown or reStructuredText into HTML. It is widely used by bloggers, developers, and content creators who need to publish websites without relying on dynamic server-side technologies. Pelican addresses the challenge of manually coding HTML by automating the generation of static files, enabling users to focus on content creation. Its modular architecture and support for plugins make it adaptable for diverse use cases, from personal blogs to documentation sites. The tool emphasizes speed through caching mechanisms and selective output writing, ensuring efficient rebuilds even for large projects. By integrating with external services and supporting multilingual content, Pelican caters to both individual developers and organizations requiring localized web presence.
How it works
Pelican is a Python-based static site generator that transforms written content into HTML websites. It allows users to write content in Markdown or reStructuredText, then generates static files for deployment. The tool is ideal for creating blogs, portfolios, and documentation sites without server-side dependencies. Its primary purpose is to streamline website development by abstracting the technical complexities of HTML and CSS. Users can focus on content creation while Pelican handles the conversion process, ensuring compatibility with modern web standards. Pelican supports content creation in Markdown and reStructuredText, with features like chronological article organization, multilingual content generation, and integration with external services such as WordPress or RSS feeds. It also provides syntax highlighting via Pygments and generates Atom/RSS feeds for content syndication.
How to use it
- 1Install Pelican and Markdown: python -m pip install "pelican[markdown]". 2. Create a project directory and initialize it with pelican-quickstart, specifying your domain. 3. Write content in Markdown or reStructuredText files within the content folder. 4. Run pelican to generate HTML files, then deploy them to a web server. Practical tips: Use the pelican-quickstart command to scaffold a project, and refer to the documentation for theme customization. Ensure all content files are placed in the content directory for proper processing.
What it can do
- python static blog generator
Use cases
Assumptions and limitations
Assumptions
- source: https://github.com/getpelican/pelican
- license: AGPL-3.0 — free to use
- privacy: Self-hosted — you control your data
Limitations
- Limited real-time collaboration features for team workflows
- No built-in content management system for non-technical users
- Steeper learning curve for beginners unfamiliar with Markdown
- Dependence on Python environment for installation and execution
- Minimal SEO optimization tools compared to dedicated CMS platforms
Understanding the result
Open-source static site generator written in Python with Jinja2 templating.
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
- (getpelican/pelican)
- License
- MIT
- Runs locally
- No — requires a network request
- Verification
- Not yet verified
- Input
- Query
- Output
- Text
Built with getpelican/pelican. 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
- AGPL-3.0 License
Upstream project
Frequently asked
What is Pelican and what problem does it solve?
Pelican is a static site generator that converts Markdown or reStructuredText content into HTML websites. It solves the problem of manually coding HTML by automating the generation of static files, enabling users to focus on content creation. This is particularly useful for bloggers and developers who need to publish websites without dynamic server-side technologies.
How does Pelican handle content formatting and syntax highlighting?
Pelican supports Markdown and reStructuredText for content formatting. It uses Pygments for syntax highlighting in code blocks, automatically detecting programming languages and applying color schemes. Users can customize the appearance of code blocks through theme configurations or plugin extensions.
How do I create a new article in Pelican?
To create a new article, use the pelican-quickstart command to generate a project structure. Place your content in the content directory with a filename following the format YYYY-MM-DD-title.md. Include metadata like title, date, and category at the top of the file. Run pelican to process the content and generate HTML output.
How does Pelican compare to Jekyll or Hugo?
Pelican is written in Python and uses Markdown/reStructuredText, while Jekyll (Ruby) and Hugo (Go) use their own markup formats. Pelican’s plugin system is more flexible for custom integrations, but Hugo is generally faster for large sites. Jekyll excels in GitHub Pages integration, whereas Pelican offers stronger multilingual support through its built-in features.
How do I troubleshoot installation errors?
Installation errors often stem from missing dependencies. Verify Python is installed correctly, then run pip install "pelican[markdown]" again. If issues persist, check the pelican-quickstart output for specific error messages. Ensure all required packages are listed in the requirements.txt file if using a virtual environment.