Search results
Dash is the original low-code framework for rapidly building data apps in Python.
A Dash tutorial that shows you how to create a Dash app in 20 minutes.
Dash is an open-source framework for building data visualization interfaces. Released in 2017 as a Python library, it’s grown to include implementations for R, Julia, and F#. Dash helps data scientists build analytical web applications without requiring advanced web development knowledge.
Dash helps financial organizations like S&P Global, Liberty Mutual, Santander adapt to market trends and stay ahead of competition. Explore examples of Python and Dash in finance, ranging from quantitative analysis, machine learning, portfolio optimization, and NLP.
May 10, 2020 · Dash is a Python framework for building analytical web applications. Dash helps in building responsive web dashboards that is good to look at and is very fast without the need to understand complex front-end frameworks or languages such as HTML, CSS, JavaScript.
Dash is Python framework for building web applications. It built on top of Flask, Plotly.js, React and React Js. It enables you to build dashboards using pure Python. Dash is open source, and its apps run on the web browser.
May 3, 2024 · Dash is the most downloaded, trusted Python framework for building ML & data science web apps. Built on top of Plotly.js , React and Flask , Dash ties modern UI elements like dropdowns, sliders, and graphs directly to your analytical Python code.
import pandas as pd. app = Dash(__name__) # assume you have a "long-form" data frame. # see <a href="https://plotly.com/python/px-arguments/">https://plotly.com/python/px-arguments/</a> for more options. df = pd.DataFrame({ "Fruit": ["Apples", "Oranges", "Bananas", "Apples", "Oranges", "Bananas"], "Amount": [4, 1, 2, 2, 4, 5],
Jun 21, 2017 · Create Reactive Web Apps in pure Python. Dash is a Open Source Python library for creating reactive, Web-based applications. Dash started as a public proof-of-concept on GitHub 2 years ago.
Dash is the most downloaded, trusted Python framework for building ML & data science web apps. Built on top of Plotly.js, React and Flask, Dash ties modern UI elements like dropdowns, sliders, and graphs directly to your analytical Python code. Read our tutorial (proudly crafted ️ with Dash itself).
