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Usetiful VS Streamlit

Compare Usetiful VS Streamlit and see what are their differences

Usetiful

Fight user churn with great user onboarding. Interactive product tours and smart tips significantly improve your user retention.

Rating
4.5 · 2 reviews
Pricing
Freemium Free trial €29 / Monthly
Alternatives Is it good?
Streamlit

Turn python scripts into beautiful ML tools

Rating
0 reviews
Pricing
Open source
Alternatives Is it good?
boldrouter
A unified, OpenAI-compatible gateway to every major LLM provider. One endpoint, one key, one bill - with automatic routing and failover. sponsored
Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.

Which is more popular?

Based on our record, Streamlit seems to be more popular. It has been mentioned 220 times since March 2021.

social mentions
0 vs 220
User Onboarding And Engagement popularity
100% vs 0%
alternatives listed
120 vs 240+

Base details

Website, pricing, platforms and company facts side by side.

Usetiful
Streamlit
Website usetiful.com streamlit.io
Pricing
Freemium Free trial €29 / Monthly Official pricing
Open source Official pricing
Platforms
Web Browser Google Chrome Cross Platform JavaScript Mobile React Native +4
—
Company Startup from the Czech Republic —
Listed in
Digital Adoption User Onboarding And Engagement User Engagement User Experience Customer Experience Management Other User Engagement And Feedback Self Service Support User Onboarding +5
Developer Tools Cloud Computing AI Python Tools +1

About Usetiful and Streamlit

In their own words, as submitted to SaaSHub.

Usetiful
Streamlit

Usetiful bridges the gap between users and digital systems. Guided tours and smart tips allow users to master any software system from day one. Usetiful provides interactive product tours and smart tips into your application, improving user adoption and conversions instantly.

Read more about Usetiful

No description of Streamlit yet.

Features and specs

What each product offers, as listed by its team.

Usetiful 12 features
Streamlit 5 features
  • Product Tours
    interactive guided tours
  • Checklists
    user onboarding checklists
  • Hotspot beacons
    pulsating elements to draw user's attention without being intrusive
  • Microsurveys
    gather user feedback seamlessly
  • Smart Tips
    contextual guidance and validation
  • Assistant widget
    customer self help
  • Easy to Set-up and use
    less than 5 min setup
  • Employee onboarding
    employee tutorials and checklist
  • Knowledge Base portal
    public self-help portal
  • Native mobile guides
    support for native mobile
  • Feature tracking
    tracking of feature adoption by user segments or individual users
  • Integrations
    connect onboarding flows to wider company operations
  • Ease of Use
    Streamlit's API is extremely intuitive and easy to learn, which makes it accessible for developers of varying experience levels. The simplicity allows for rapid development and less time spent on complex front-end coding.
  • Interactive Widgets
    It provides a set of interactive widgets that make it simple to add complex functionalities like sliders, buttons, and file uploaders to your application with minimal code.
  • Real-time Feedback
    Streamlit supports real-time data updates, allowing users to see changes instantly. This is particularly useful for data analysis and machine learning applications where live data visualization is crucial.
  • Integration with Machine Learning Libraries
    Streamlit integrates seamlessly with popular machine learning libraries like TensorFlow, PyTorch, and scikit-learn, making it a great tool for showcasing machine learning models and results.
  • Open Source
    Being an open-source project, Streamlit is free to use and comes with the support and contributions of an active community. This means continuous improvements and a wealth of shared resources.

Possible disadvantages

  • Limited Customization
    Streamlit offers limited customization options compared to traditional web frameworks. This can be a hindrance if you need a highly customized UI/UX for your application.
  • Performance Issues
    For more complex or resource-intensive applications, Streamlit may suffer from performance drawbacks. It is not designed for high-performance computing out of the box.
  • Scalability
    Streamlit is not well-suited for large-scale applications requiring major backend architecture or for scenarios demanding high scalability and concurrency.
  • Limited Widget Style Options
    The styling and customization options for widgets are somewhat limited, meaning your application's look and feel might be more constrained compared to using other front-end frameworks.
  • Deployment Complexity
    While Streamlit provides some deployment options, deploying Streamlit apps in a production environment can sometimes require additional effort and knowledge, especially for those unfamiliar with web deployment practices.

Analysis

An editorial look at what each product does well and who it suits.

Usetiful
Streamlit

Overall verdict

  • Usetiful is considered a good solution for businesses looking to optimize user onboarding and enhance the customer experience. Its features cater well to both small startups and larger organizations needing to provide seamless user guidance.

Why this product is good

  • Usetiful is a digital adoption platform designed to help users onboard, train, and guide through applications with ease. It is known for its intuitive interface, customizable onboarding flows, and interactive product tours. This tool can enhance user engagement, reduce churn, and improve the learning curve for new software users.

Recommended for

    Usetiful is recommended for product managers, customer success teams, and training departments in companies that deploy software applications and seek to improve user onboarding, reduce support requests, or boost user satisfaction and retention.

Overall verdict

  • Overall, Streamlit is well-regarded for its ease of use, speed of development, and ability to create clean and professional-looking applications without in-depth web development knowledge. It provides a seamless bridge between complex data analysis and user-friendly presentation, which can be highly beneficial for a wide range of use cases.

Why this product is good

  • Streamlit is a popular choice for quickly building and deploying data applications and interactive dashboards with minimal code. It is designed to be user-friendly, allowing data scientists and engineers to transform their scripts into shareable web apps. It supports real-time updates, is highly customizable, and integrates well with Python libraries like NumPy, Pandas, and Matplotlib, making it an attractive option for many developers working within the Python ecosystem.

Recommended for

    Streamlit is ideal for data scientists, analysts, and developers looking to rapidly prototype and deploy data-driven applications. It is recommended for those who prioritize simplicity, quick deployment, and seamless integration with Python code. Individuals or teams interested in building dashboards, ML model sharing platforms, or interactive reports will find Streamlit particularly useful.

Videos

Walkthroughs and reviews on video.

Usetiful 5 videos + Add
Streamlit 3 videos + Add

Embedded Banners

More videos

  • - Create product tours without coding with Usetiful
  • - User Onboarding Checklists by Usetiful
  • - Usetiful - Visual Editor Demo
  • - Usetiful Introduction Video

My thoughts on web frameworks in Python and R (PyWebIO vs Streamlit vs R Shiny)

More videos

  • - 1/4: What is Streamlit
  • - How to Build a Streamlit App (Beginner level Streamlit tutorial) - Part 1

Category popularity

How often each product is chosen within a category, 0–100% relative to the other.

Score bands 0–20 21–40 41–50 51–60 61–100
Usetiful
Streamlit
100% 100%
User Onboarding And Engagement
0% 0%
0% 0%
Developer Tools
100% 100%
100% 100%
User Engagement
0% 0%
0% 0%
Productivity
100% 100%

Questions & Answers

As answered by people managing Usetiful and Streamlit.

What makes your product unique?

Usetiful's answer

  • Usetiful works with native mobile - serving clients on all of their platforms
  • Usetiful is affordable - offering a free-forever plan and scalable business offerings
  • Usetiful "just works" - supporting wide range of corner cases, including exotic Single Page Applications or iFrames
  • Usetiful is secure - not only ISO27001 certified, HIPAA and GDPR compliant. But also able to run on-premise for security-intense clients

Who are some of the biggest customers of your product?

Usetiful's answer

-Audi -DHL -DPD -Konica Minolta -Foodora -e27 -Nanyang Technological University -iChef

User comments

Share your experience with using Usetiful and Streamlit. For example, how are they different and which one is better?

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Reviews and articles

External articles and on-site reviews we used to compare the two products.

Usetiful 4.5 · 2 reviews
Streamlit no reviews yet

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We have no reviews of Streamlit yet. Be the first one to post

Social recommendations and mentions

Recommendations tracked on public social media and blogs since March 2021.

Usetiful 0 mentions
Streamlit 220 mentions

Tracking Usetiful since Mar 2021.

  • How I Bypassed Reddit's Unauthenticated RSS Rate Limits (Without an API Key)
    I wrapped the logic in a small, single-process Streamlit app that pulls the newest posts from Hacker News, Reddit, and Lemmy into one sortable table. A few implementation details worth mentioning:. - Source: dev.to / about 2 months ago
  • Adding Authentication and SSO to a Streamlit App
    Streamlit makes it simple to turn Python scripts into shareable data apps. As these apps move from personal notebooks to team and company use, adding secure authentication and single sign-on (SSO) becomes essential. Authentication... - Source: dev.to / 6 months ago
  • How I trained a computer vision model on the AWS Free Tier
    The app I built to explore that question is a Streamlit app with two modes. Standard mode sends your image to the DetectLabels API and checks if it returns "Egg" or "Easter Egg" in the labels. Custom Labels mode uses a custom model I... - Source: dev.to / 6 months ago

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