Frontly vs Streamlit
A detailed comparison to help you choose the right AI tool
F
Frontly
Convert the uploaded image to HTML CSS code.
Freemium 18 upvotes
S
Streamlit
A faster way to build and share data apps
Freemium 689 upvotes
Key Features
Frontly
- Image to HTML/CSS conversion for quick website creation
- No-code editor for easy customization of generated code
- Integrated hosting service to launch websites directly
- Supports various image formats for conversion
- User-friendly interface for seamless design workflow
Streamlit
- Interactive widgets for user input like sliders, buttons, and text boxes.
- Real-time data visualization with support for charts and graphs.
- Easy deployment options to share apps via Streamlit Cloud or local servers.
- Integration with popular data libraries like Pandas, NumPy, and Matplotlib.
- Markdown support for adding formatted text and documentation within apps.
Frontly Pros
- + Efficient conversion of images to clean HTML and CSS code.
- + User-friendly no-code editor for easy customization.
- + Integrated hosting with high uptime and custom domain support.
- + SEO and mobile-friendly website generation.
- + Seamless integration with design tools like Figma and Adobe XD.
- + AI-driven UI/UX suggestions for improved design.
Frontly Cons
- − Limited features in the free tier, such as Fronty branding.
- − Advanced customization may require a paid plan.
- − Some complex design elements might need manual adjustments post-conversion.
- − Limited storage in lower-tier plans.
- − Potential learning curve for users new to AI-powered tools.
Streamlit Pros
- + Streamlit's ease of use allows for rapid development and deployment of data applications.
- + The tool's real-time update feature enhances the iterative development process.
- + Streamlit's widget integration simplifies the creation of interactive user interfaces.
- + The Community Cloud offers a free platform for sharing public apps, fostering collaboration.
- + Enterprise deployment options provide robust security and reliability for large organizations.
- + Streamlit's compatibility with a wide range of data visualization tools enhances its utility.
Streamlit Cons
- − Streamlit's reliance on Python may limit accessibility for users unfamiliar with the language.
- − The free tier is limited to public apps, which may not suit all project requirements.
- − Advanced customization may require additional effort or external components.
- − Some users may find the lack of built-in user authentication a limitation for certain applications.
- − Enterprise features are tied to Snowflake, which may not align with all organizational infrastructures.
Which Should You Choose?
Choose Frontly if:
- → You need it for designers converting mockups into functional websites
- → You need it for small businesses creating landing pages from images
- → You need it for developers speeding up front-end coding tasks
Choose Streamlit if:
- → You need it for data scientists creating quick prototypes of data analysis tools.
- → You need it for business analysts sharing interactive dashboards with stakeholders.
- → You need it for educators building teaching tools for data science concepts.