streamlit VS Altair

Compare streamlit vs Altair and see what are their differences.

Altair

Declarative statistical visualization library for Python (by altair-viz)
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streamlit Altair
55 16
16,749 7,072
2.3% 0.8%
9.7 6.9
about 15 hours ago 8 days ago
Python Python
Apache License 2.0 BSD 3-clause "New" or "Revised" 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.

Altair

Posts with mentions or reviews of Altair. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-11-24.

What are some alternatives?

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

plotly - The interactive graphing library for Python (includes Plotly Express) :sparkles:

bokeh - Interactive Data Visualization in the browser, from Python

seaborn - Statistical data visualization in Python

ggplot - ggplot port for python

dash - Analytical Web Apps for Python, R, Julia, and Jupyter. No JavaScript Required.

plotnine - A grammar of graphics for Python

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.

folium - Python Data. Leaflet.js Maps.

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

Flask JSONDash - :snake: :bar_chart: :chart_with_upwards_trend: Build complex dashboards without any front-end code. Use your own endpoints. JSON config only. Ready to go.

matplotlib - matplotlib: plotting with Python