Plotly Studio and Cloud are now generally available. Create production-ready data apps and dashboards with agentic AI and publish instantly for secure sharing.

Plotly.js v3.1.0 introduces new maps based on UN geodata, replacing Natural Earth to better represent disputed and unclaimed territories.

New in Dash 3.1: support for async callbacks, improved dropdown behavior, optional inputs, and more reliable persistence.

Secure OAuth in Dash apps. Learn how Dash Enterprise supports pass-through authentication to APIs like Databricks, BigQuery, and more.

Designed specifically for the AI era, Dash Enterprise 5.7 enables organizations to build smarter, safer data applications with efficiency.

Read all about Plotly AI, a key part of the latest version of Dash Enterprise 5.6, as well as the hefty updates to our open source libraries.

The latest release of Dash includes a new hooks system, an easy way to tell Dash to run functions at a certain point in a dashboard's lifecycle.

Learn how typed array support in Plotly.js makes it easier to move data into the Plotly renderer with faster serialization and better compute and memory performance.

Plotly's open-source libraries get major releases for faster data apps with Narwhals, a new Dash hooks system, a new design for Kaleido, and more.

Generate static images from interactive Plotly charts for your slideshow, report, academic journal, or thesis with the next generation of Kaleido.

Learn how you can boost Dash data app performance with the new Plotly.py collaboration with Narwhals, a dataframe compatibility layer.

Learn how the latest Plotly charting libraries release supports anywidget, for Dash developers to create interactive plugins and patterns in Python notebooks.

Watch the on-demand recording to learn about Dash Enterprise 5.5, which features a new set of enterprise data connectors for Databricks, Snowflake, AWS S3, AWS Redshift, and Google BigQuery.

Plotly.py, our graphing libraries, reached an incredible milestone: 500 million lifetime package downloads from PyPi. Read the blog to learn more.

MapLibre is an independently-maintained fork of Mapbox GL JS v1.x, which ensures minimal changes in Plotly’s code. MapLibre also offers improved performance

The summer release of Plotly Dash Enterprise transformed data app creation and delivery. Discover the collaboration features, customization options, and enhanced control in the 5.4 update.

Read the documentation for Plotly Dash Enterprise 5.4 — discover the fastest way to write & deploy Dash apps and Jupyter notebooks.

Read the documentation for Plotly Dash Enterprise 5.3 — discover the fastest way to productionize AI and data science apps.

Read the documentation for Plotly Dash Enterprise 5.2 — discover App Studio, AI integration, and an enhanced developer experience.

Here's how Plotly's new "Ask AI" chatbot answers technical questions based on LLM models trained on over 2,000 pages of documentation.

Nicole Arksey, Group Product Manager at Plotly, shares her thoughts on the upcoming Dash Enterprise 5.2 release — and what it means for data science teams.

Learn how Plotly Dash Enterprise prioritizes data security as the premier platform for developing, scaling, and deploying Python-based data apps.

Read the documentation for Plotly Dash Enterprise 5.1 — discover the fastest way to build AI and data science apps.

Plotly is SOC2 Type I and Type II compliant. Learn how this helps protect customer assets and data sources when using Plotly products.

Learn about Dash 2.9.2 — partial property updates with patch(), duplicate outputs, dcc.Geolocation, scatter group attributes and more.

Read the documentation for Plotly Dash Enterprise 5.0 — discover the industry-leading scalability, collaboration, and app management features.

The 5.0.0 version of plotly.py introduces a new federated Jupyter extension, Icicle charts, and Bar chart patterns.

An early version of Dash that streamled Dash Core Components and changed parameter names and configuration settings to be friendlier.

The 4.0.0 version of plotly.py introduces many features and changes such as flexible subplots and new figure update methods.

The 4.0.0 version of plotly.py introduces changes including a new Jupyter widget class and Tab-Complete support.