streamlit VS dash

Compare streamlit vs dash and see what are their differences.

Our great sponsors
  • Nanos - Run Linux Software Faster and Safer than Linux with Unikernels
  • Scout APM - A developer's best friend. Try free for 14-days
  • SaaSHub - Software Alternatives and Reviews
streamlit dash
55 34
16,661 15,469
3.9% 1.9%
9.7 9.7
2 days ago 6 days ago
Python Python
Apache License 2.0 MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

streamlit

Posts with mentions or reviews of streamlit. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-10-29.

dash

Posts with mentions or reviews of dash. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-11-16.

What are some alternatives?

When comparing streamlit and dash you can also consider the following projects:

PyWebIO - Write interactive web app in script way.

PySimpleGUI - Launched in 2018 Actively developed & supported. Supports tkinter, Qt, WxPython, Remi (in browser). Create custom GUI Windows simply, trivially with a full set of widgets. Multi-Window applications are also simple. Python 2.7 & 3 Support. 325+ Demo programs & Cookbook for rapid start. Extensive documentation. Examples using Machine Learning(GUI, OpenCV Integration, Chatterbot), Desktop Widgets (Rainmeter-like), Matplotlib + Pyplot integration, add GUI to command line scripts, PDF & Image Viewer. For both beginning and advanced programmers. docs - PySimpleGUI.org GitHub - PySimpleGUI.com. Create complex windows simply.

superset - Apache Superset is a Data Visualization and Data Exploration Platform

Flask - The Python micro framework for building web applications.

react-virtualized - React components for efficiently rendering large lists and tabular data

datapane - Datapane is the easiest way to create data science reports from Python.

Jinja2 - A very fast and expressive template engine.

wave - Realtime Web Apps and Dashboards for Python and R

panel - A high-level app and dashboarding solution for Python

three.js - JavaScript 3D Library.