Skip to main content

A Python framework for building reactive web-apps. Developed by Plotly.

Project description

Dash

CircleCI GitHub PyPI PyPI - Python Version GitHub commit activity

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).

  • Docs: Create your first Dash app in under 5 minutes

  • dash.gallery: Dash app gallery with Python & R code

Dash App Examples

Dash App Description
Sample Dash App Here’s a simple example of a Dash App that ties a Dropdown to a Plotly Graph. As the user selects a value in the Dropdown, the application code dynamically exports data from Google Finance into a Pandas DataFrame. This app was written in just 43 lines of code (view the source).
Crossfiltering Dash App Dash app code is declarative and reactive, which makes it easy to build complex apps that contain many interactive elements. Here’s an example with 5 inputs, 3 outputs, and cross filtering. This app was composed in just 160 lines of code, all of which were Python.
Dash App with Mapbox map showing walmart store openings Dash uses Plotly.js for charting. About 50 chart types are supported, including maps.
Financial report Dash isn't just for dashboards. You have full control over the look and feel of your applications. Here's a Dash App that's styled to look like a PDF report.

To learn more about Dash, read the extensive announcement letter or jump in with the user guide.

Dash OSS & Dash Enterprise

With Dash Open Source, Dash apps run on your local laptop or workstation, but cannot be easily accessed by others in your organization.

Scale up with Dash Enterprise when your Dash app is ready for department or company-wide consumption. Or, launch your initiative with Dash Enterprise from the start to unlock developer productivity gains and hands-on acceleration from Plotly's team.

ML Ops Features: A one-stop shop for ML Ops: Horizontally scalable hosting, deployment, and authentication for your Dash apps. No IT or DevOps required.

  • App manager Deploy & manage Dash apps without needing IT or a DevOps team. App Manager gives you point & click control over all aspects of your Dash deployments.
  • Kubernetes scaling Ensure high availability of Dash apps and scale horizontally with Dash Enterprise’s Kubernetes architecture. No IT or Helm required.
  • No code auth Control Dash app access in a few clicks. Dash Enterprise supports LDAP, AD, PKI, Okta, SAML, OpenID Connect, OAuth, SSO, and simple email authentication.
  • Job Queue The Job Queue is the key to building scalable Dash apps. Move heavy computation from synchronous Dash callbacks to the Job Queue for asynchronous background processing.

Low-Code Features: Low-code Dash app capabilities that supercharge developer productivity.

  • Design Kit Design like a pro without writing a line of CSS. Easily arrange, style, brand, and customize your Dash apps.
  • Snapshot Engine Save & share Dash app views as links or PDFs. Or, run a Python job through Dash and have Snapshot Engine email a report when the job is done.
  • Dashboard Toolkit Drag & drop layouts, chart editing, and crossfilter for your Dash apps.
  • Embedding Natively embed Dash apps in an existing web application or website without the use of IFrames.

Enterprise AI Features: Everything that your data science team needs to rapidly deliver AI/ML research and business initiatives.

  • AI App Marketplace Dash Enterprise ships with dozens of Dash app templates for business problems where AI/ML is having the greatest impact.
  • Big Data for Pything Connect to Python's most popular big data back ends: Dask, Databricks, NVIDIA RAPIDS, Snowflake, Postgres, Vaex, and more.
  • GPU & Dask Acceleration Dash Enterprise puts Python’s most popular HPC stack for GPU and parallel CPU computing in the hands of business users.
  • Data Science Workspaces Be productive from Day 1. Write and execute Python, R, & Julia code from Dash Enterprise's onboard code editor.

See https://plotly.com/contact-us/ to get in touch.

Dash Enterprise

Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

dash-2.18.2.tar.gz (7.5 MB view details)

Uploaded Source

Built Distribution

dash-2.18.2-py3-none-any.whl (7.8 MB view details)

Uploaded Python 3

File details

Details for the file dash-2.18.2.tar.gz.

File metadata

  • Download URL: dash-2.18.2.tar.gz
  • Upload date:
  • Size: 7.5 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.4.2 requests/2.22.0 setuptools/45.2.0 requests-toolbelt/0.8.0 tqdm/4.30.0 CPython/3.8.10

File hashes

Hashes for dash-2.18.2.tar.gz
Algorithm Hash digest
SHA256 20e8404f73d0fe88ce2eae33c25bbc513cbe52f30d23a401fa5f24dbb44296c8
MD5 9d12ba6188faffb7ba7ab38444a396aa
BLAKE2b-256 cfaedfd8c42c83cad1b903e4e3e7be7042074d5d7d16be97eaede6656b8ead95

See more details on using hashes here.

File details

Details for the file dash-2.18.2-py3-none-any.whl.

File metadata

  • Download URL: dash-2.18.2-py3-none-any.whl
  • Upload date:
  • Size: 7.8 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.4.2 requests/2.22.0 setuptools/45.2.0 requests-toolbelt/0.8.0 tqdm/4.30.0 CPython/3.8.10

File hashes

Hashes for dash-2.18.2-py3-none-any.whl
Algorithm Hash digest
SHA256 0ce0479d1bc958e934630e2de7023b8a4558f23ce1f9f5a4b34b65eb3903a869
MD5 53f9c2a46821a5670b3a5d568f278ee8
BLAKE2b-256 72efd46131f4817f18b329e4fb7c53ba1d31774239d91266a74bccdc932708cc

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page