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Panel VS Streamsync

Compare Panel VS Streamsync and see what are their differences

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Panel logo Panel

High-level app and dashboarding solution for Python

Streamsync logo Streamsync

Streamsync is an open-source framework for creating data apps. Build user interfaces using a visual editor; write the backend code in Python.
  • Panel Landing page
    Landing page //
    2023-05-28
  • Streamsync Landing page
    Landing page //
    2023-05-04

It's fast.

  • Streamsync enables significantly lower response times, when compared to Streamlit.
  • It only runs the user script once.
  • It uses WebSockets to keep frontend and backend states in sync.

It's neat.

  • Streamsync uses state-driven, reactive user interfaces. A data app's user interface is strictly separated from its logic.
  • It uses a consistent yet customisable UI design system.
  • No caching needed; the script runs once and things remain in memory. You can use globals and module attributes to store app-wide data.
  • Predictable flow of execution. Event handlers are plain, easily testable Python functions. No re-runs, no strange decorators.

Check out a live demo of an app.

Panel features and specs

  • Flexibility
    Panel provides a flexible framework for creating interactive web applications, dashboards, and complex visualizations using Python, allowing developers to leverage their existing Python code without needing to switch to JavaScript or another language.
  • Integration with HoloViz Ecosystem
    Panel integrates seamlessly with other HoloViz tools like HoloViews, GeoViews, and Datashader, enhancing its capabilities for building rich, data-visualization-centric applications.
  • Support for Multiple Backends
    It supports multiple backends, including Bokeh, Plotly, and Matplotlib, giving developers the flexibility to choose their preferred plotting library for rendering their visualizations.
  • Dynamic and Reactive Features
    Panel supports dynamic and reactive UI components that update automatically as data changes, facilitating the creation of interactive and live data applications.
  • Easy Deployment
    Applications built with Panel can be easily deployed on the web using various options, including deploying on Heroku, AWS, or with simple HTTP servers, which helps in transitioning from development to production.

Possible disadvantages of Panel

  • Steep Learning Curve
    For those unfamiliar with the HoloViz ecosystem or Python-based web development, there can be a steep learning curve associated with mastering Panel and its related tools.
  • Performance Limitations
    While Panel is powerful, it may not perform as well as JavaScript-native solutions for extremely high-frequency, real-time data updates due to the overhead of Python-to-JavaScript communication.
  • Limited Community and Resources
    Although growing, the community and resources are not as extensive as some other more-established frameworks like React or Angular, which may lead to a lack of readily available support or third-party plugins.
  • Complexity with Large Applications
    As applications grow in size and complexity, managing state and ensuring efficient communication between components can become challenging.
  • Dependency on Python Environment
    Panel applications require a running Python environment, which can complicate deployment or hosting compared to purely static or client-side applications.

Streamsync features and specs

No features have been listed yet.

Panel videos

+ Add

Ready To Love S7 E8 PANEL REVIEW WITH SPECIAL GUEST #readytolove

More videos:

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Streamsync videos

No Streamsync videos yet. You could help us improve this page by suggesting one.

Add video

Category Popularity

0-100% (relative to Panel and Streamsync)

Panel

Streamsync

Developer Tools
56 56%
Developer Tools
44% 44
Web App
100 100%
Web App
0% 0
Application And Data
0 0%
Application And Data
100% 100
Productivity
67 67%
Productivity
33% 33

User comments

Share your experience with using Panel and Streamsync. For example, how are they different and which one is better?
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Social recommendations and mentions

Based on our record, Panel should be more popular than Streamsync. It has been mentiond 10 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.

Panel mentions (10)

  • Show HN: Manganite – Quickly turn Jupyter notebooks into web apps
    Manganite allows easy conversion of Jupyter notebooks into dashboards. Simply annotate existing notebooks with Jupyter magics and serve them as interactive web apps. Manganite has been created to empower master and doctoral students in econ and management to turn research notebooks into interactive dashboards. The students use Python for data analysis, math programming, and basic machine learning. Instead of... - Source: Hacker News / over 1 year ago
  • What python library you are using for interactive visualisation?(other than plotly)
    Https://panel.holoviz.org/ It's a web app framework for Python similar to what Dash does for plotly. It plays nicely with bokeh visuals and I think the front-end is built using bokeh css elements. Source: almost 2 years ago
  • How to approach GIS and which language to use
    If you want to build Python dashboards, look at the solara (react-style lib, https://solara.dev/) and panel (https://panel.holoviz.org/). Source: almost 2 years ago
  • Ask HN: Fastest way to turn a Jupyter notebook into a website these days?
    My suggestion is https://panel.holoviz.org/ Fully open sourced, makes it easy to make reactive apps with small changes, can even configured as a graphical REPL. - Source: Hacker News / about 2 years ago
  • Updating a page with MQTT
    I am doing something like this in a [panel](https://panel.holoviz.org/) dashboard, which I am currently converting to nicegui. Maybe I can provide an example in some days. Source: about 2 years ago
View more

Streamsync mentions (2)

What are some alternatives?

When comparing Panel and Streamsync, you can also consider the following products

Streamlit - Turn python scripts into beautiful ML tools

Dash by Plotly - Dash is a Python framework for building analytical web applications. No JavaScript required.

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

Turtle - New kind of anonymous messaging app

Posiviber - Start a page, share the URL, get comments.

Bokeh - Bokeh visualization library, documentation site.

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