Software Alternatives & Reviews

Panel VS Streamsync

Compare Panel VS Streamsync and see what are their differences

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 videos

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.

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Category Popularity

0-100% (relative to Panel and Streamsync)
Web App
100 100%
0% 0
Developer Tools
49 49%
51% 51
Application And Data
0 0%
100% 100
Productivity
100 100%
0% 0

User comments

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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 / 6 months 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: 11 months 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: 12 months 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 1 year 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 1 year 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

Turtle - New kind of anonymous messaging app

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

Streetchat - Anonymous local message boards

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

start.me - A Modern-day bookmark manager. A place for your favorites. A news feed (RSS) reader. A browser startpage. A portal for your team.