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Streamlit VS OpenHub for GitHub

Compare Streamlit VS OpenHub for GitHub and see what are their differences

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.

Streamlit logo Streamlit

Turn python scripts into beautiful ML tools

OpenHub for GitHub logo OpenHub for GitHub

Fast and concise, open-source GitHub client app.
  • Streamlit Landing page
    Landing page //
    2023-10-07
  • OpenHub for GitHub Landing page
    Landing page //
    2023-08-29

Streamlit features and specs

  • 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 of Streamlit

  • 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.

OpenHub for GitHub features and specs

  • User Interface
    OpenHub offers a clean and user-friendly interface for visualizing GitHub projects, making it easier to navigate and view project statistics and information.
  • Comprehensive Features
    The app includes a wide range of features, such as displaying commit history, contributor statistics, and issue tracking, allowing users to efficiently manage and monitor their GitHub repositories.
  • Open Source
    Being open source, developers can contribute to the project, customize it for personal use, and ensure transparency in how the application operates.
  • Cross-Platform
    OpenHub is available on multiple platforms, making it accessible to a wide range of users regardless of their operating system.

Possible disadvantages of OpenHub for GitHub

  • Limited Integration
    While OpenHub offers many features, it might lack deep integration with some of GitHub's more advanced or recently introduced features, which could limit its utility for power users.
  • Maintenance and Updates
    As an open-source project, the consistency of maintenance and the frequency of updates can vary, potentially leading to issues with compatibility or security updates.
  • Learning Curve
    New users who are not familiar with GitHub might find the plethora of features and information overwhelming at first, requiring time to learn how to effectively use the tool.

Streamlit videos

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

More videos:

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

OpenHub for GitHub videos

No OpenHub for GitHub videos yet. You could help us improve this page by suggesting one.

Add video

Category Popularity

0-100% (relative to Streamlit and OpenHub for GitHub)
Developer Tools
100 100%
0% 0
Productivity
87 87%
13% 13
Project Management
0 0%
100% 100
Content Creators
100 100%
0% 0

User comments

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Social recommendations and mentions

Based on our record, Streamlit seems to be more popular. It has been mentiond 209 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Streamlit mentions (209)

  • Build Code-RAGent, an agent for your codebase
    The only thing left to do then was to build something that could showcase the power of code ingestion within a vector database, and it immediately clicked in my mind: "Why don't I ingest my entire codebase of solved Go exercises from Exercism?" That's how I created Code-RAGent, your friendly coding assistant based on your personal codebases and grounded in web search. It is built on top of GPT-4.1, powered by... - Source: dev.to / 10 days ago
  • How AI is Transforming Front-End Development in 2025!
    Streamlit.io: Great documentation and reusable components to integrate with your AI application for rapid python front-end AI development. - Source: dev.to / 16 days ago
  • Querying DynamoDB with Natural Language Using MCP
    The agent uses MCP to translate this into a DynamoDB query. Then, using Streamlit UI, results are returned in a structured format, making it easy to use. - Source: dev.to / 2 months ago
  • Can I run this LLM?
    It's powered by something called "Streamlit" (https://streamlit.io). > A faster way to build and share data apps Website doesn't even load for me. I don't even know what to say...welcome to web dev 2025 edition. - Source: Hacker News / 2 months ago
  • Vaadin Flow for AdminUI
    Since Vaadin is Java-focused, its major benefits are best realized within that ecosystem. If you're using .NET, Blazor might be a better fit, while in the Python world, a lightweight alternative could be Streamlit. - Source: dev.to / 2 months ago
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OpenHub for GitHub mentions (0)

We have not tracked any mentions of OpenHub for GitHub yet. Tracking of OpenHub for GitHub recommendations started around Mar 2021.

What are some alternatives?

When comparing Streamlit and OpenHub for GitHub, you can also consider the following products

Anvil.works - Build seriously powerful web apps with all the flexibility of Python. No web development experience required.

Nullboard - Minimalist locally-stored kanban board / task list manager.

FastAPI - FastAPI is an Open Source, modern, fast (high-performance), web framework for building APIs with Python 3.6+ based on standard Python type hints.

Huboard - HuBoard is built from the ground up using the GitHub public API.

Recut - Edit silence out of videos automatically

Brisqi - Offline-first personal Kanban app