Streamlit is an open-source app-building platform that converts Python scripts into interactive web applications. It works great for rapid prototyping, quick data analysis, and creating machine learning (ML) model demos.
As simple and easy to use Streamlit is, it lacks the features to build scalable applications with large datasets. Plus, Streamlit’s rigid layouts, basic styling options, limited customization, and performance issues make it difficult to create feature-rich applications.
So, here are the best Streamlit alternatives to help you build complex applications easily. These alternatives offer more flexibility and real-time collaboration.
Top 10 Streamlit Alternatives to Explore in 2025
- ⏰ 60-Seconds Summary
- What Should You Look for in Streamlit Alternatives?
- The 10 Best Streamlit Alternatives
- 1. Dash by Plotly (Best for prototype development in data science projects)
- 2. Gradio (Best for creating machine learning app demos)
- 3. Panel (Best for building interactive dashboards in Python)
- 4. Anvil (Best for advanced app customizations)
- 5. Shiny for Python (Best for prototyping web applications)
- 6. Deepnote (Best for real-time collaboration on code)
- 7. Mercury Framework (Best for Jupyter Notebook users)
- 8. Taipy (Best for data visualization)
- 9. Datalore (Best for AI code assistance)
- 10. PixelFree Studio (Best for Figma users)
- Other Interactive Data Application Tools
Summarize this article for me please⏰ 60-Seconds Summary
Here are the best Streamlit alternatives to help you create interactive website applications:
- Dash by Plotly: Best for prototype development in data science projects
- Gradio: Best for creating machine learning app demos
- Panel: Best for building interactive dashboards in Python
- Anvil: Best for advanced app customizations
- Shiny for Python: Best for prototyping web applications
- Deepnote: Best for real-time collaboration on code
- Mercury Framework: Best for Jupyter Notebook users
- Taipy: Best for data visualization
- Datalore: Best for AI code assistance
- PixelFree Studio: Best for Figma users
For code-free interactive data visualization, try ClickUp. It provides widgets, charts and graphs, progress bars, tables, etc. to track important development metrics.
Summarize this article for me pleaseWhat Should You Look for in Streamlit Alternatives?
Before we dive into the best Streamlit alternatives, here are a few features you must look out for when choosing your data visualization tool.
📌 Component customization: Select tools that let you create custom dashboards with various interactive elements beyond the basic inputs. Make sure they support interactive visualizations and offer styling components and themes
📌 Large dataset handling: Check how well the tool handles large or streaming datasets. Choose tools that support incremental data when building web applications so they can accommodate growing application requirements
📌 Workflow integration: Select tools that are compatible with your existing tech stack. Make sure they support CI/CD pipeline integration, testing frameworks, libraries, flowchart makers, and other MLOps and DevOps tools
📌 Data source connectivity: Go for tools with native database connectors and API integration capabilities. This will help streamline processes effortlessly. Also, check if the tool supports different file formats and syncs data updates in real time
Summarize this article for me pleaseThe 10 Best Streamlit Alternatives
1. Dash by Plotly (Best for prototype development in data science projects)
Just like Streamlit, Dash by Plotly is also an open-source platform for creating interactive web-based apps and dashboards. It is a Python-based framework for data scientists that makes visualizing and updating data in real time easy.
However, Dash is faster than Streamlit and offers enterprise deployment options for production-grade apps. It also has multiple integrations—for example, it integrates with Python data science stacks, including Plotly and Pandas, helping you create custom dashboards with higher interactivity levels. You can also integrate Google Sheets with Dash to create a Google Sheets dashboard within the Dash application and update it based on the changes in Google Sheets data.
Dash best features
- Run dashboards with Jupyter Notebook using jupyter-dash library
- Create appealing layouts using the Dash Design Kit
- Update specific parts of your app with basic and advanced callbacks
Dash limitations
- The software has a steep learning curve. You must understand components, views, callbacks, HTML, etc. to build larger apps
- The layout is restrictive without HTML. So, creating the desired web app look can be challenging
Dash pricing
- Free, open-source software
Dash by Plotly ratings and reviews
- G2: 4.8/5 (30+ reviews)
- Capterra: Not enough reviews
What do users say about Dash by Plotly?
💡Pro Tip: Integrate Dash with Plotly’s graphic library to access various interactive charts and maps and rich visualization options.
2. Gradio (Best for creating machine learning app demos)
Gradio is an easy-to-use Streamlit alternative for creating web interfaces to demo your ML models. Unlike Streamlit, this Python framework is quick to set up, more intuitive, beginner-friendly, and more suitable for simpler apps.
What makes Gradio popular is its ability to simplify ML models into demos or apps that a wider audience can easily understand. You can embed Gradio in your Python notebook, present it as a web page, and share apps using a public link, allowing teams to interact with the model remotely.
Gradio best features
- Create and use custom components in your apps with the Gradio custom components library
- Build and edit codes and view live changes with Gradio playground
- Create interactive demos and apps easily using pre-built elements like sliders, buttons, dropdowns, etc.
Gradio limitations
- Gradio isn’t optimized for managing heavy traffic in production environments
- It is specifically designed for ML/AI apps and has limited customizations
Gradio pricing
- Free, open-source
Gradio ratings and reviews
- G2: No reviews available
- Capterra: No reviews available
🧠 Did you know? Gradio was acquired by Hugging Face 🤗 in 2022. It is now part of their AI infrastructure, and you can find several public Gradio demos in Hugging Face Spaces showcasing different AI models.
3. Panel (Best for building interactive dashboards in Python)
Like Streamlit, Panel’s open-source library lets you create analytical website applications and interactive dashboards in pure Python. It is a web framework that integrates with PyData ecosystem, allowing you to create interactive data tables and visualizations and collaborate on them for more efficient workflows.
Compared to Streamlit, Panel is more flexible and scalable with its wide array of layout and widget options. It is suitable for developing complex web apps with intricate user interfaces.
Panel best features
- Create complex, multi-page exploratory apps with high-level reactive APIs and lower-level callback-based APIs
- Use Panel templates to create different app looks
- Customize data apps using a code editor, include check boxes as buttons, and layout objects using grid spec
Panel limitations
- Has a steep learning curve due to the extensive feature set—widgets, libraries, etc.
- Panel is more Python-focused and less on HTML/CSS, which makes it less responsive and limited in styling web apps
Panel pricing
- Free, open-source
Panel ratings and reviews
- G2: No reviews available
- Capterra: No reviews available
4. Anvil (Best for advanced app customizations)
If you’re looking for high-level customizations, Anvil is a great Streamlit alternative. It has a drag-and-drop interface that allows you to customize UI elements, apply styles, and design the app the way you want.
Contrary to Streamlit, Anvil has a robust built-in database to update, edit, and delete data using Python statements. You can store app files and machine learning models in the cloud, connect to Python notebooks, add custom domains, connect with external APIs, and ensure data security with built-in two-factor authentication.
Anvil best features
- Write and edit code directly in modern web browsers with a web-based IDE (Integrated Development Environment)
- Query, edit, and delete data and connect apps to data with a built-in Python database system
- Run Anvil apps across environments with an open-source Anvil app server
- Automatically publish Anvil apps in one click, choosing public or private hosting
Anvil limitations
- Some features are not functional. For example, the DataGrid component full-width doesn’t work, which leaves users with tiny texts
- Some users say that the paywall for custom features is high
Anvil pricing
- Free forever
- Hobby: $15/month
- Business: $109 per developer/month
- Enterprise (on-site): Custom pricing
Anvil ratings and reviews
- G2: Not enough reviews
- Capterra: No reviews available
What do users say about Anvil?
5. Shiny for Python (Best for prototyping web applications)
Shiny for Python helps developers prototype interactive web applications and create simple visualizations within a few hours. It makes app building easy for R programmers who aren’t necessarily experts at web development.
What makes Shiny better than Streamlit is its reactive execution. Shiny does not re-render apps when there is a change in inputs. Instead, it tracks the relationships between components to minimally re-render the ones that need to be updated. Thus, it speeds up application development and improves the overall user experience.
Shiny best features
- Build apps with ease using pre-built templates of basic apps, dashboards, data entry, and streaming updates
- Create app layouts using a wide range of components, including navbars, sidebars, tabs, panels, cards, and arrange elements the way you like
- Automatically update outputs based on user inputs and create dynamic UIs with reactive programming
Shiny limitations
- Shiny integrations can be complex and troublesome initially
- Too complex for building simple dashboards or BI workflows
- App deployment is a hassle as most deployment options are available in the paid plans
Shiny pricing
- Shiny is an open-source, free-to-use platform. However, deploying Shiny apps requires you to use its free or paid hosting services
Shiny ratings and reviews
- G2: Not enough reviews
- Capterra: Not enough reviews
What do users say about Shiny for Python?
💡Pro Tip: Use the ‘shiny.react’ package to use your dynamic React library components to build dynamic apps and interactive data visualizations.
6. Deepnote (Best for real-time collaboration on code)
Deepnote is for those looking for user-friendly, collaboration-focused, and AI-driven Streamline alternatives. It is a simple, robust platform that lets data science teams work collaboratively and edit notebooks simultaneously, enhancing team productivity.
The most useful thing about Deepnote is its cloud-based framework, which helps you work on your project dashboards from anywhere and share the outcomes with others. Plus, its AI integration helps build analytical web applications with smart code completion, automatic data cleaning, and various techniques like hyperparameter tuning and feature selection.
Deepnote best features
- Work with multiple people on a notebook in real time with built-in version control and commenting
- Build and deploy interactive data apps directly from the notebooks and share insights and reports with teams
- Customize environments by specifying libraries and dependencies to optimize app performance
Deepnote limitations
- Even small feature changes in a block of code require you to run the entire notebook, making the process tedious and cumbersome
- Long loading time for larger projects and frequent crashes that might disrupt your workflow
Deepnote pricing
- Free
- Team: $59 per editor/month
- Enterprise: Custom pricing
Deepnote ratings and reviews
- G2: 4.5/5 (220+ reviews)
- Capterra: Not enough reviews
What do users say about Deepnote?
📖 Read More: Top React Alternatives for Frontend Developers
📮ClickUp Insight: 37% of workers send follow-up notes or meeting minutes to track action items, but 36% still rely on other, fragmented methods.
Without a unified system for capturing decisions, key insights you need may get buried in chats, emails, spreadsheets, or even other tools. With ClickUp, you can instantly turn conversations into actionable tasks across all your tasks, chats, and docs—ensuring nothing falls through the cracks.
7. Mercury Framework (Best for Jupyter Notebook users)
Mercury’s web application framework is primarily for Jupyter Notebook users. Using the platform, you don’t have to rewrite your data analysis from Jupyter notebooks to Python scripts.
It’s data visualization features help analyze and interpret data. The tool also has a robust feature set to create interactive applications, websites, full-stack web apps, reports, and dashboards. Plus, you can use OutputDir to download notebook files and export PDF/HTML notebooks.
Mercury Framework best features
- Create dynamic UIs with a range of interactive widgets like sliders, dropdowns, text boxes, etc.
- Access cell-level control to monitor the re-executed cells during app modification to optimize performance
- Use access controls to ensure app security with built-in authentication
Mercury Framework limitations
- Mercury has limited customizations
- For non-Jupyter users, using Mercury might require training
- Designed to work with Jupyter Notebooks, which might not be suitable for standalone web applications
Mercury Framework pricing
- Mercury is a free, open-source platform. However, it offers free and paid plans for app deployment
Mercury Cloud plans:
- Starter: Free
- Pro: $49/month
- Business: $149/month
Self-hosted plans:
- Free
- Commercial: $1000/year
- Enterprise: $10,000/year
Mercury Framework ratings and reviews
- G2: No reviews available
- Capterra: No reviews available
📖 Read More: 10 Jupyter Notebook Alternatives and Competitors
8. Taipy (Best for data visualization)
Like dashboard software, Taipy has powerful data visualization tools to help you create interactive dashboards using tables, charts, graphs, and maps. It is a scalable platform that caters to complex applications that demand high performance.
While Streamlit is mainly for prototyping, Taipy is built for both prototyping and production. It runs front-end and back-end on separate threads, so the app does not crash when you have apps running in the background.
Taipy best features
- Use advanced data visualization capabilities to present data insights in diverse ways
- Customize apps and dashboards using pre-built or custom themes
- Integrate with Taipy Studio to access the graphical editor
- Run heavy tasks in the background without slowing down current workflows
Taipy limitations
- Taipy Cloud has some uploading glitches, and page re-rendering is slow
- Being relatively new, Taipy lacks resources to help users make the most of the platform
Taipy pricing
- Taipy is a free, open-source library. However, it also offers custom business and enterprise plans
Taipy ratings and reviews
- G2: No reviews available
- Capterra: No reviews available
📖 Read More: Looking for more tools to build custom project dashboards? Check out these Softr Alternatives to Build Project Dashboards
9. Datalore (Best for AI code assistance)
Datalore, by JetBrains, is an intelligent, collaborative platform for data visualization and analysis. It combines Jupyter Notebooks with AI code assistance that helps complete codes and create interactive dashboards for your business use cases.
Datalore allows environment managers to tailor custom environments and interactive controls to create dynamic dashboards and apps. It can also be hosted in a private cloud or on-premises, catering to your extra customization and security needs.
Datalore best features
- Use smart coding assistance for Python, Scala, Kotlin, and R to create various apps
- Convert notebooks into interactive data stories and share static or interactive reports with stakeholders
- Collaborate on code with your team in real time and share notebooks using links or email invitations
Datalore limitations
- According to a few users, Datalore has limited storage, which results in losing data when working with large datasets
- The software has bugs and requires restarts
Datalore pricing
- Cloud Free
- Cloud: $35 per user/month
- On-premises: Custom pricing
Datalore ratings and reviews
- G2: Not enough reviews
- Capterra: Not enough reviews
What do users say about Datalore?
10. PixelFree Studio (Best for Figma users)
PixelFree Studio is a low-code application development platform that seamlessly converts designs into understandable codes. With PixelFree, you can generate PRO-Code in six programming languages—HTML5, React, Vue, Angular, C# for desktop, and #C for web app to match your intended application design.
Plus, you can host it from anywhere without depending on libraries or frameworks, helping you implement a more flexible development process.
PixelFree Studio best features
- Import Figma designs quickly and automate converting designs into human-readable codes
- Generate native codes that match your visual application design
- Collaborate with your team on code in real time
PixelFree Studio limitations
- The software heavily relies on Figma for importing designs. So, non-Figma users might find it less accessible
- With no libraries or frameworks, PixelFree might lack built-in components for apps and dashboards
PixelFree Studio pricing
PixelFree Studio has separate plans for single and business licenses. Here are the business license plans.
- $49.95/month
- $499/year
- Custom pricing for enterprise solution
PixelFree Studio ratings and reviews
- G2: No reviews available
- Capterra: No reviews available
📖 Read More: Separation of Concerns in Flutter Applications
Summarize this article for me pleaseOther Interactive Data Application Tools
Streamlit and most Streamlit alternatives are code-focused. They require technical expertise for data visualization. This limits their access to non-tech users.
However, data visualization does not have to be this complicated.
ClickUp is a versatile, code-free interactive data application tool that makes interpreting data easy. Its enterprise-grade infrastructure supports visualizing and analyzing large datasets to help you make informed decisions.
Visualize data with custom dashboards
Build extensive interactive ClickUp Dashboards that give stakeholders an at-a-glance view of the current process, goals, upcoming tasks, priorities, improvements, and other details. Add widgets, charts and graphs, progress bars, tables, etc. to provide a bird’s eye view of everything—from team productivity to important development metrics.
Want to know about using ClickUp Dashboards? Watch this video. 👇
Enhance productivity with data integrations
Connect with over 1000 ClickUp Integrations, from Figma to GitHub, to import data, streamline processes, and access all workflows without switching platforms. ClickUp’s native integrations enable you to connect the platform with your existing tech stack for seamless operations.
Track software interactions with context diagrams
Visualize complex system relationships with ClickUp Whiteboards. Use different color-coded lines to differentiate interactions, add detailed notes for each connection point, and make real-time adjustments using the drag-and-drop interface.
Collaborate with your team on context diagrams and create ClickUp Tasks directly from the diagram components. You can also use ClickUp’s context diagram templates to speed up the process.
📖 Read More: Best Draw.io/Diagrams.net Alternatives & Competitors
Analyze trends with AI
Automate analyzing datasets and get AI-powered insights with ClickUp Brain. Extract key patterns, identify correlations, and generate summaries of complex datasets. You can ask AI to explain the data trends in simple language for better clarity. Additionally, you can generate reports, get suggestions based on historical trends, and identify anomalies before they impact your project.
Collaborate with stakeholders in real time
Leverage ClickUp Docs and ClickUp Chat to collaborate on app designs, code, context diagrams, and workflows. While ClickUp Docs can help you centralize your app development resources, feature requests, and feedback, its chat functionality can streamline communication among team members so nobody misses out on anything.
Streamline workflows and automate routine tasks
Use ClickUp’s 100+ Custom Automation Templates to manage routine jobs, analyze data, create standard reports, and manage project handoffs. You can automate development workflows like code review, design approval, sending notifications of review completion, creating deployment checklists, and more.
With all of ClickUp’s robust features, you must be wondering about the pricing plans. Here’s a quick look into ClickUp’s pricing.
- Free Forever
- Unlimited: $7/month per user
- Business: $12/month per user
- Enterprise: Contact for pricing
- ClickUp AI: Add to any paid plan for $7 per member per month
Summarize this article for me pleaseGet the Best Streamlit Alternative for Data Visualization and App Building
Streamlit is great for building data-centric applications. But, if you’re looking for tools to create more dynamic and interactive applications or dashboards, consider our list of Streamlit alternatives.
While all the alternatives are good, they serve specific purposes. For example, choose Taipy for better front-end and back-end operations, Dash for advanced interactivity features, and Gradio for creating demos.
Similarly, if you want a data visualization tool that’s simple yet equipped with powerful features, consider ClickUp. It lets you view and analyze data with its custom dashboards, automate workflows and extract key insights with AI, collaborate in real time, and integrate with 1000+ tools.
Want to learn more about ClickUp? Sign up for free!
Everything you need to stay organized and get work done.
