Go beyond BI tools and let domain experts build with AI. With Dash Enterprise, share and manage their applications within your own infrastructure.
Dash Enterprise is deployed by data teams in finance, pharma, energy and manufacturing across the Global 2000.
Your coding agent
The app it builds
Revenue this week
$4.2M
104% of target
Accounts
1,284
+5% vs LY
Top region
West
112% of target
Revenue by region, this week
The platform
regional-revenue
Maria Chen · sales-team
Inherited from the platform
Sign-in
SSO with your identity provider
Access
Shared with the sales-team group
Secure Networking
No public endpoint
Share Data Sources
Credentials managed by IT
Monitoring
CPU, memory, logs, and views
“Organizations around the world are shifting away from point-and-click BI tools to code-backed analytics and internal tools, thanks to the rise of AI coding agents. Plotly is at the heart of this transformation.”
Chris Parmer
Plotly Co-founder
Expand Energy · Oil and gas
$150K
vendor tool replaced with in-house apps
16 → 4
weeks to deliver a new app
150+
people using the apps, three running 24/7
Jay Luna, SCADA specialist, Expand EnergyRead the full story →“I am not from a developer background, and one thing I appreciated about Plotly was how easy it was to pick up and get started.”
Intuit · Financial services
50%
reduction in experiment runtime
70%+
time saved on experiments in peak tax season
500+
users across Analytics, AI and Data
Russ Zaliznyak, Principal Data Scientist and Experimentation Team Lead, IntuitRead the full story →“Dash Enterprise marries the strengths of many tools into one: design beautiful dashboards and apply statistical algorithms behind the scenes.”
WPO · Renewable energy
6 GW+
renewable assets managed in 11 countries
40+
dashboards, reports and apps
Up to 2%
more annual energy production for some clients
Alban Jéhu, Product Owner of WPO DashboardRead the full story →“We are creating exactly what we want with Dash. In the same screen, you can see KPIs across all our asset types and you can drill down very efficiently.”
Kansas City Chiefs · Sports and entertainment
70,000+
fans in the stadium and lots on game day
50+
internal users of the GameDay Scans app
32 hrs
saved each week by the Analytics team alone
Michael Ragsdale, VP of Finance, Strategy and Analytics, Kansas City ChiefsRead the full story →“Dash Enterprise enables us to deploy at scale, and its security and authentication allow us to deliver quickly without requiring IT support. The apps we’ve created really have been a game-changer.”
Deploy and manage Dash apps behind your firewall, with SSO and monitoring built in. AI coding agents can deploy, update and manage apps headlessly through the Dash Enterprise CLI.
Write the definition once as a Python function, and the app serves it to people, to agents and to other systems. There are no copies to keep in sync, and no separate semantic layer product to buy and operate.
metrics.py · owned by the finance data team
@mcp_enabled
def arr(territory=None, fiscal_year=None):
"""Annual recurring revenue, by finance’s definition."""
...Charts, tables and drill-downs call the function directly.
metrics.arr()Claude, ChatGPT or Cursor call the arr tool instead of writing their own SQL.
/finance/_mcpThe chat inside the app answers follow-up questions with the same functions or makes custom queries.
In-app agentic chatScripts, notebooks and other services get the numbers as JSON.
GET /api/arrA scheduled job writes the results back for BI tools that only read the warehouse.
finance.gold_arrCoding agents enable any domain expert to build a data app, connect to a data source, and instantly share on Dash Enterprise.
Yesterday’s analytics workspace
Today: Coding Agent and App Platform
When every team deploys its own apps on its own containers and pipelines, you get shadow IT: high effort, high risk, no standards, often no login screen, and nothing you can prove is compliant.
One rogue app or agent with its own credentials can expose your data, and every new app is another gap to miss.
Every team brings its own auth, data sources, and CI/CD pipeline.
One runaway app can run up the bill, and builds, ingress, logging, monitoring, and patching never end.
| Capability | Dash Enterprise | DIY with Docker |
|---|---|---|
| Auth, SSO and RBAC | Built in, set up in the admin UI | Implement and maintain it yourself |
| Central admin portal | Yes, the App Manager | No, or build it from general tools |
| Logging and metrics | Provided by the platform | Set up the whole stack |
| Scaling and HA | Native: replicas, autoscaling | Design and operate it |
| Security and compliance | Built-in controls and certifications | Entirely your responsibility |
| Support | Commercial support from Plotly | Community and your own team |
| Time to production | Low | High, in engineering effort |
Every app is standard Python in your own repository with metrics you can verify, not a proprietary workbook.
Your apps and data stay on your own servers, behind your firewall and even air-gapped. Not even Plotly can access them.
IT sets sign-in, access groups and data credentials once, and every AI-built app inherits them from its first deploy.
Every data app in one portal, with its owner, access groups, logs and usage. IT sees everything that’s running.
Bring your own cloud: Kubernetes 1.30+ on EKS, AKS, GKE or on-premises, or managed by Plotly
Behind your firewall on your own infrastructure
Supported
SAML, OIDC or LDAP, with your groups
Workload identity on EKS, AKS and GKE, plus admin-managed Data Sources
Locked down by default: non-root workloads, strict network policies, OPA-ready
Dash, and any Python framework like FastAPI, Flask, or Streamlit
AI coding agents explore data and write Python code to build apps, then use the Dash Enterprise CLI to manage them on the platform
In-app agent with Plotly Studio Embedded, and every app is an MCP server with Dash MCP
Plotly · Technical white paper
PDF · 6 pages
How we think about the intersection of AI, data, and internal apps.
Dash is for data teams, analysts, and developers who have outgrown traditional BI and need to build custom data applications quickly. It is especially powerful when paired with coding agents, so anyone who can describe what they need can help create interactive, production-ready apps.
Dash Enterprise is for teams and organizations that need a centralized platform to deploy, manage, and scale Dash applications. It is built for companies that want the speed of agent-assisted development combined with enterprise-grade security, governance, and reliability.
Dash Enterprise solves the gap between building Dash apps and running them securely at scale. Teams want a centralized, governed way to deploy Dash applications without managing infrastructure themselves. Dash Enterprise is the fastest and most secure way to deploy Dash applications, giving organizations one place to ship, share, and operate the data apps their teams are already building with coding agents.