GITNUXSOFTWARE ADVICE
Data Science AnalyticsTop 10 Best Web Dashboard Software of 2026
Top 10 web dashboard software ranking for teams, comparing Retool, Looker Studio, Databox, plus Superset and Grafana dashboards.
How we ranked these tools
Core product claims cross-referenced against official documentation, changelogs, and independent technical reviews.
Analyzed video reviews and hundreds of written evaluations to capture real-world user experiences with each tool.
AI persona simulations modeled how different user types would experience each tool across common use cases and workflows.
Final rankings reviewed and approved by our editorial team with authority to override AI-generated scores based on domain expertise.
Score: Features 40% · Ease 30% · Value 30%
Gitnux may earn a commission through links on this page — this does not influence rankings. Editorial policy
Retool is the best pick for teams that need interactive dashboards which can also trigger controlled actions and stay tightly data-driven, while Looker Studio is a great budget entry if sharing and embedding matter, and Databox fits when you want standardized KPI dashboards with minimal chart upkeep.
Editor’s top 3 picks
Three quick recommendations before you dive into the full comparison below — each one leads on a different dimension.
Retool
Action steps let UI controls call APIs and update data with conditional logic inside the dashboard workflow.
Built for fits when teams need interactive dashboards that read data and also write it through controlled actions..
Looker Studio
Editor pickDashboard drill-down actions with cross-filtering across charts for interactive investigation in a shared report.
Built for fits when teams need interactive dashboards with fast sharing and embedding, driven by standard data connectors..
Databox
Editor pickGuided KPI dashboard building that maps connectors to tiles with scheduled refresh for recurring operations reporting.
Built for fits when teams need standardized KPI dashboards with scheduled metric updates and low chart maintenance..
Comparison Table
Retool
API-firstLow-code platform for building internal tools and custom dashboards with drag-and-drop components.
Action steps let UI controls call APIs and update data with conditional logic inside the dashboard workflow.
Retool’s dashboard builder centers on draggable components, parameterized inputs, and action wiring between queries and UI events. It supports embedded deployment via an iframe style embed and provides share controls for internal links. The integration surface includes connectors that cover common databases and API-based services, with JSON request and response handling for custom endpoints. Retool also includes an extensibility path through custom UI components and script steps for transformations and conditional flows.
A key tradeoff is that Retool’s UI layer becomes the integration layer, so governance and performance depend on how queries, caching, and action chaining are designed. It fits teams that need operational dashboards with user-driven workflows, not just read-only reporting. It also suits cases where charts need to trigger downstream mutations like creating tickets, updating records, or running approval steps.
- +UI events can trigger multi-step workflows with custom scripts
- +Wide connector coverage for both databases and REST-style services
- +Reusable dashboard building blocks reduce duplicated configuration
- +Embedded iframe deployments fit internal tools and partner portals
- –Query and caching design directly affects dashboard latency
- –Complex permission setups require careful role mapping and review
Support operations teams
Case triage dashboard with actions
Faster case resolution
Finance operations teams
Invoice review with validation steps
Fewer manual handoffs
Show 2 more scenarios
Engineering data teams
Internal admin console for services
Reduced operational toil
Developers build operational pages that query service data and call REST endpoints to manage state.
Sales operations teams
Pipeline dashboard with CRM updates
More consistent pipeline hygiene
Users cross-filter pipeline views, then submit forms to update CRM records via actions.
Best for: Fits when teams need interactive dashboards that read data and also write it through controlled actions.
Looker Studio
SMBFree web-based dashboard builder for visualizing Google Analytics and connected data sources.
Dashboard drill-down actions with cross-filtering across charts for interactive investigation in a shared report.
Looker Studio uses a connector-based workflow where data sources feed report charts, tables, and KPI tiles without requiring custom frontend code. Report interactivity includes drill-down actions and cross-filtering, and it can render dashboards in a responsive tile layout for common screen sizes. Dataset freshness depends on connector support and refresh settings, so some dashboards behave like direct query views while others rely on cached datasets for stability.
The main tradeoff is weaker control over the underlying data model and governance compared with BI stacks that center on a dedicated semantic layer and row-level security enforcement. Looker Studio works well when stakeholders want shared dashboards with rapid iteration and when dashboard permissions can be managed through Google account access patterns and report sharing settings.
- +Interactive filters, drill-down actions, and cross-filtering on shared dashboards
- +Large chart library with tables, pivots, KPIs, and map visualizations
- +Rapid report building using connector inputs without custom frontend development
- +Easy sharing and embedding for internal portals and stakeholder review
- –Limited depth for enforcing complex governance rules at query time
- –Calculated fields and transformations can become hard to standardize across reports
- –Dashboard performance depends on connector support and refresh or caching behavior
- –Direct query behavior varies by connector, which can complicate latency expectations
Marketing analytics teams
Campaign dashboards with stakeholder sharing
Faster review cycles
Operations reporting teams
Regional performance dashboards
Quicker root-cause identification
Show 2 more scenarios
Product analytics teams
Embedded analytics in internal tools
Less context switching
Product teams embed interactive reports into existing workflows using shared links and iframe embedding.
Finance and BI coordinators
Pivot-based reporting for reporting packs
More consistent reporting
Coordinators publish pivot tables and KPI tiles using consistent report structures across departments.
Best for: Fits when teams need interactive dashboards with fast sharing and embedding, driven by standard data connectors.
Databox
SMBBusiness analytics platform for combining metrics from multiple sources into unified dashboards.
Guided KPI dashboard building that maps connectors to tiles with scheduled refresh for recurring operations reporting.
Databox is built around KPI tile dashboards where each tile maps to a configured metric from an connected source and renders consistently across templates. Scheduled refresh updates the connected datasets behind those tiles, which reduces the need to rebuild visuals for recurring reporting cycles. A shared dashboard link and dashboard export options support distribution to stakeholders without requiring them to run the underlying queries.
A tradeoff appears in custom dashboard behavior compared with more code-first stacks, because advanced visualization controls and complex query logic can require workarounds. Databox fits teams that standardize metrics and want repeatable reporting for weekly business reviews, sales performance monitoring, and marketing reporting summaries.
- +KPI tile dashboards with template-driven consistency
- +Scheduled refresh keeps operational metrics current
- +Widget library supports common chart and tile layouts
- +Shared links and exports simplify stakeholder distribution
- –Advanced chart and query customization can be limited
- –More complex analytics may require building around connector constraints
Revenue operations teams
Weekly pipeline and quota KPI tiles
Fewer manual reporting steps
Marketing analytics teams
Campaign performance dashboards by channel
Faster campaign reporting cadence
Show 2 more scenarios
Customer success teams
Health metrics dashboards for accounts
Consistent visibility across teams
Shared dashboards distribute account health KPIs derived from connected data sources to internal stakeholders.
Data analysts in small teams
Operational reporting without heavy modeling
Quicker time to publish
Template dashboards and widget layouts reduce time spent on visualization setup for routine business reporting.
Best for: Fits when teams need standardized KPI dashboards with scheduled metric updates and low chart maintenance.
Tableau
enterpriseEnterprise BI platform for building interactive data dashboards and visual analytics.
Viz and dashboard interactivity stays consistent across Tableau Server or Tableau Cloud with drill and filter actions wired into the workbook behavior.
Tableau turns a visualization-first workflow into shareable web dashboards through server hosting and strong interactive chart behavior. Its live and extracted data connectivity supports filtering, drill-down, and parameter-driven views across dashboards in Tableau Server and Tableau Cloud.
Governance features include role-based access control, workbook and data source permissions, and audit visibility for key administrative actions. Tableau also supports extensibility via web authoring and published extensions that extend dashboard capabilities beyond built-in widgets.
- +Interactive dashboards support drill-down and cross-filtering without custom front-end code
- +Strong publishing model ties together workbooks, data sources, and permissions
- +Web extensibility enables custom dashboard elements through published extensions
- +Detailed administrative controls cover user access, content ownership, and auditing
- –Dashboard layout tuning can become tedious when pixel-perfect requirements change often
- –Row-level security design needs careful planning to avoid expensive or confusing permission logic
- –Some advanced automation relies on scripting patterns around Tableau content management
- –Live query performance can degrade on complex transformations or high-cardinality filters
Best for: Fits when teams need highly interactive web dashboards with strong publishing controls and extension options.
Microsoft Power BI
enterpriseCloud-based business intelligence service for creating and sharing interactive dashboards.
Power BI semantic layer enables consistent measures across many reports, while row-level security rules apply at query time.
Microsoft Power BI publishes interactive BI dashboard reports with cross-filtering and drill actions that work inside the Power BI service and mobile apps. It connects to many data sources, models data with a semantic layer for measures and reusable calculations, and supports scheduled refresh for cached datasets.
Governance is handled through Azure AD identity, workspace roles, row-level security rules, and audit log visibility in the tenant. It also supports embedded analytics via app registration and REST APIs for report embedding and lifecycle control.
- +Semantic layer keeps measures consistent across reports and dashboards
- +Row-level security enforces per-user visibility without duplicating datasets
- +Scheduled refresh supports cached datasets for predictable dashboard performance
- +Embedded analytics works with REST API-driven report embedding
- –Dataset refresh failures can require manual investigation of data source credentials
- –Complex DirectQuery models can hit performance ceilings under heavy interactivity
Best for: Fits when teams need governed dashboards plus reusable semantic measures across reports and embedded experiences.
Grafana
open-sourceOpen-source analytics and monitoring dashboard platform for time-series data.
Grafana provisioning plus HTTP API lets dashboards and data sources be managed as configuration.
Grafana is a web dashboard solution built for engineering and analytics teams that need dashboards tied directly to live data sources. Its core capabilities include a flexible dashboard layout, a chart rendering engine with many visualization types, and a strong connector and query workflow for pulling data into panels.
Grafana also supports automation through provisioning and an HTTP API, which helps teams manage dashboards and data source configuration at scale. RBAC and audit-style operational controls support governed access when Grafana is deployed across multiple teams.
- +Panel queries can run in direct mode against supported data connectors
- +HTTP API supports dashboard and data source automation and integration
- +RBAC and team-based access reduce accidental exposure across organizations
- +Rich visualization set covers common monitoring and analytics layouts
- –Cross-source dashboard consistency can require careful query and field alignment
- –Advanced dashboard governance needs provisioning discipline and review workflows
Best for: Fits when teams need governed, API-managed dashboards wired to live data sources.
Metabase
SMBOpen-source BI tool for creating dashboards and running queries without SQL knowledge.
Saved questions and the semantic layer let teams define field-level metrics once and reuse them consistently across dashboards.
Metabase pairs a lightweight SQL-to-dashboard workflow with a governed, shared analytics experience. It runs as a web app with native chart types, dashboard layouts, and a semantic metadata layer that turns raw tables into business-friendly fields.
Metabase supports live SQL querying and scheduled dataset refresh, plus embed-ready dashboards for internal or external surfaces. Administration covers user and group access, workspace permissions, and audit-visible activity trails for many key actions.
- +Semantic layer metadata makes metrics reusable across dashboards
- +Fast dashboard authoring from SQL questions and saved models
- +Scheduled dataset refresh reduces load on source databases
- +Embed-ready dashboard views with shared access controls
- –Advanced modeling and governance controls take deliberate setup work
- –Complex performance tuning can require direct query mode tradeoffs
- –Fine-grained row-level policies depend on connector support and configuration
- –Large dashboard rendering can slow down under heavy cross-filtering
Best for: Fits when teams need a shared BI dashboard workflow with minimal overhead and reusable metrics.
Appsmith
open-sourceOpen-source low-code framework for building internal dashboards and admin panels.
UI-to-action wiring that lets dashboards call arbitrary REST endpoints for mutations, not just read-only queries.
Appsmith is a web dashboard builder focused on creating interactive internal tools and data-driven screens with a visual UI and programmable actions. It connects directly to multiple data sources and REST APIs, then wires UI components to queries and custom endpoints for drill-down and workflow actions.
It also supports app-wide environment configuration for credentials and per-resource permissions, which helps teams govern access to dashboards and actions. Appsmith’s strongest fit is when dashboards need embedded logic, custom API calls, and operational controls rather than read-only charting.
- +Interactive widgets trigger queries and custom REST API actions from the UI
- +Environment-based configuration keeps API keys and endpoints out of page logic
- +Fine-grained dashboard and resource permissions support team workflows
- +Versioned dashboard templates speed reuse of common layouts
- –Charting depth is narrower than BI-first tools with extensive semantic layers
- –Cross-filtering and dashboard-wide parameter propagation require careful wiring
- –Governed deployments need setup discipline across environments and permissions
- –Large-scale query concurrency can require query tuning and caching choices
Best for: Fits when teams need interactive dashboards plus custom API workflows, not only report-style visualization.
DashThis
vertical specialistAutomated marketing reporting dashboard tool for agencies and marketing teams.
Template-driven dashboard publishing with consistent widget rendering across embedded and exported views.
DashThis generates shareable web dashboards from existing BI content using a dashboard template and a widget rendering pipeline. It focuses on embedding and publishing with consistent layout control, including responsive tile rendering and exportable dashboard views.
DashThis also supports live data connectors and parameterized links so filters and selections can be passed from outside the dashboard. Admin-facing controls cover workspace access, tenant management, and audit trails for key publishing actions.
- +Embedding workflow turns templates into reusable dashboard pages
- +Responsive tile layout keeps KPI tiles readable across breakpoints
- +Cross-filtering style interactions work through linked widget states
- +Scheduled refresh supports repeatable dashboard publication output
- –Custom chart interactivity can be limited by the source visualization
- –Requires setup discipline for consistent parameter naming across pages
Best for: Fits when teams need branded, responsive dashboard publishing for external audiences.
Budibase
open-sourceOpen-source platform for building internal apps, dashboards, and forms without coding.
Widget and page builder paired with workflow automation enables dashboards that can trigger actions, not just display charts.
Budibase is a web dashboard builder for teams that need quick operational apps alongside BI-style dashboards. It uses a low-code page and widget designer tied to live JSON and SQL data sources through configurable connectors.
Budibase adds an automation and integration layer through workflows, plus a programmatic surface for provisioning, embedding, and external control. Governance features like role-based access and audit trails help teams manage who can view, edit, and publish dashboards.
- +Low-code builder supports both dashboards and operational app pages
- +Connector approach works well for JSON APIs and SQL databases
- +Workflows let dashboards trigger actions beyond chart interactivity
- +Embedding supports published dashboard links and iframe-style viewing
- –Advanced semantic modeling requires manual configuration per data source
- –Cross-filtering between complex widgets can require careful layout choices
- –Governance relies on correct RBAC setup and publish discipline
- –Large dashboards with many widgets can slow authoring and preview rendering
Best for: Fits when teams need rapid, embedded reporting plus workflow-driven app screens without custom frontend builds.
Conclusion
After evaluating 10 data science analytics, Retool stands out as our overall top pick — it scored highest across our combined criteria of features, ease of use, and value, which is why it sits at #1 in the rankings above.
Use the comparison table and detailed reviews above to validate the fit against your own requirements before committing to a tool.
How to Choose the Right web dashboard software
This guide focuses on web dashboard software used to render interactive dashboards in browsers, manage dashboard behavior across teams, and wire tiles to live connectors and controlled actions. It covers Retool, Looker Studio, Databox, Tableau, Microsoft Power BI, Grafana, Metabase, Appsmith, DashThis, and Budibase.
The selection emphasizes integration depth, the data and metric reuse patterns each tool supports, and the automation surface available through UI events and APIs. The practical differences show up in how each product handles drill-down, cross-filtering, scheduled refresh, and governance when many dashboards share the same data inputs.
Web dashboard software for browser-based BI, embedding, and interactive operations
Web dashboard software is a platform for publishing chart and KPI tiles that run in a web interface, with interactions such as filters, drill-down, and cross-chart coordination. Many products also support embedding via shared dashboard links or iframe-based delivery, which shapes how teams package dashboards for internal use or external audiences.
Retool and Appsmith lean toward interactive dashboards where UI controls can trigger API-backed workflows that mutate data under defined logic, not only read data for visualization. Microsoft Power BI and Metabase emphasize governed metric reuse through a semantic layer and query-time security, which affects consistency across multiple dashboards and embedded experiences.
Web dashboard buyer scorecard: automation, governance, and interactive coordination
Web dashboard software succeeds when dashboards can coordinate user interactions across charts and also execute controlled actions when the workflow requires mutations. Tool choice changes based on whether the product treats the dashboard as a read-only visualization layer or as an application-like runtime tied to APIs.
The most visible differences across Retool, Looker Studio, Databox, Tableau, Microsoft Power BI, Grafana, Metabase, Appsmith, DashThis, and Budibase show up in drill-down behavior, cross-filtering patterns, scheduled refresh execution, and how dashboard publishing and access controls scale across teams.
UI-driven actions that call APIs and update data
Retool is strongest when dashboard UI controls trigger multi-step API workflows and update data under dashboard workflow logic. Appsmith is the alternative when interactive widgets must call arbitrary REST endpoints for mutations, not only read queries for charts.
Cross-chart coordination with drill-down and cross-filtering
Looker Studio supports drill-down actions plus cross-filtering across charts inside shared reports for interactive investigation. Tableau keeps drill and filter behavior consistent across Tableau Server or Tableau Cloud by wiring actions into workbook behavior.
Governed metric reuse with semantic layers
Microsoft Power BI uses a semantic layer to keep measures consistent across multiple reports and dashboards while enforcing row-level security at query time. Metabase offers a saved-questions workflow backed by a semantic layer so field-level metrics defined once stay reusable across dashboards.
Row-level security and query-time visibility controls
Power BI applies row-level security rules at query time and pairs that with semantic measures to keep per-user visibility consistent. Tableau supports row-level security but needs careful planning to avoid expensive or confusing permission logic.
Scheduled refresh for operational KPI dashboards
Databox targets recurring operations reporting through template-driven KPI dashboards that run with scheduled refresh for connector-based metric updates. Retool can also run workflows from the dashboard layer, but Databox is designed around the KPI tile and refresh loop as the core pattern.
API-managed provisioning for dashboards and data sources
Grafana supports provisioning plus an HTTP API, which enables dashboard and data source management as configuration. Retool has extensive UI-to-action automation, while Grafana prioritizes managing dashboard content and connectivity through API-managed lifecycle.
Decision framework for selecting web dashboard software by runtime model and governance depth
Teams first need to choose the runtime model. Some tools treat the dashboard as a workflow surface where UI events trigger API-backed actions, while others treat the dashboard as a governed BI view built on reusable measures and query-time security.
After the runtime model, the second axis is operational cadence and governance discipline. Tools like Databox center scheduled KPI refresh, while tools like Grafana require provisioning discipline to keep cross-source consistency and admin control aligned with automation.
Pick a dashboard runtime that matches whether users must mutate data from the UI
If dashboard controls must trigger controlled API workflows that write data, Retool fits because UI events can run multi-step logic with custom scripts. If interactive UI must call arbitrary REST endpoints for mutations, Appsmith fits when the product supports UI-to-action wiring with environment-based configuration.
Choose cross-chart analysis behavior for investigation-heavy dashboards
If drill-down plus cross-filtering must work across multiple charts inside shared reports, Looker Studio fits because interactive filters and drill-down actions coordinate within the same shared report. If interactivity needs to stay consistent across Tableau Server or Tableau Cloud with workbook-level actions, Tableau fits because dashboard behavior is tied to the workbook’s action configuration.
Select a semantic layer approach for consistent metrics across many dashboards
If measure reuse must be governed across many reports with row-level security enforced at query time, choose Microsoft Power BI because its semantic layer and per-user visibility rules work together. If a team wants reusable metrics defined once with saved questions and semantic metadata, choose Metabase because it treats those definitions as the reusable asset.
Decide whether operational KPI tiles and scheduled refresh are the primary workflow
If the primary goal is recurring operations reporting with low chart maintenance, choose Databox because KPI tile dashboards run with scheduled refresh from connectors. If dashboards are mostly read-only analysis with live connector queries, choose Grafana because panels can run in direct mode and the HTTP API supports automated wiring to live sources.
Plan for governance via publishing model or provisioning automation
If governance relies on publishing controls and workbook-linked permissions, choose Tableau because its publishing model ties workbooks, data sources, and permissions together. If governance relies on infrastructure-like configuration, choose Grafana because provisioning plus HTTP API management supports dashboard and data source lifecycle automation.
Who benefits from these web dashboard software capabilities
Web dashboard software works best when the dashboard is either a workflow surface with UI-driven actions or a governed analysis runtime with reusable metrics and query-time access control. The right selection depends on how dashboards get shared, embedded, and maintained across teams.
Retool and Appsmith target interactive teams that need dashboards to call APIs and coordinate mutations. Power BI and Metabase target teams that prioritize metric consistency and security rules across many reports and embedded experiences.
Ops and support teams running task-based workflows inside dashboards
Retool fits when UI controls must trigger multi-step API workflows so operators can execute controlled actions without leaving the dashboard. Appsmith fits when those workflows are REST endpoint calls wired directly from interactive widgets.
BI teams that standardize measures and enforce per-user visibility
Microsoft Power BI fits when a semantic layer must keep measures consistent across dashboards while row-level security applies at query time. Metabase fits when teams want semantic metadata and saved questions so metric definitions stay reusable with less duplication.
Teams publishing dashboards for investigation and shared analysis
Looker Studio fits when drill-down and cross-filtering must work across charts in a shared report format. Tableau fits when drill and filter actions need consistent workbook behavior across Tableau Server or Tableau Cloud.
Engineering and DevOps teams managing dashboards as configuration
Grafana fits when dashboards and data sources must be provisioned and managed through an HTTP API. Teams also benefit when direct query mode is acceptable for panels against supported data connectors.
Common web dashboard buying pitfalls
The most frequent failures come from mismatched governance expectations and dashboard runtime capabilities. Teams often over-plan layout or modeling while under-testing interaction latency, permission behavior, and scheduled refresh reliability.
Several tools also reveal tradeoffs once many dashboards share the same data inputs. Those tradeoffs show up in caching and query design for Retool, permission complexity for Tableau, and cross-source alignment for Grafana.
Assuming dashboard interactivity will remain fast without validating caching and query design
Retool dashboard latency depends on how query and caching design are built, so interaction tests must include the real dashboard workflow patterns. Grafana direct-mode panels can also expose performance ceilings, so cross-source alignment tests should use the same fields and query shapes.
Treating row-level security as a late-stage configuration step
Tableau row-level security requires planning to avoid expensive or confusing permission logic when workbooks and data sources grow. Power BI row-level security depends on how semantic measures map to user visibility, so refresh and security paths must be tested end to end.
Standardizing metric logic by copying transformations into every report
Calculated fields and transformations can become hard to standardize across Looker Studio reports, so teams should define consistent logic instead of re-creating it per dashboard. Metabase and Power BI both support reusable metric definitions through their semantic layer workflows, which reduces duplication.
Building dashboards without governance discipline when provisioning is part of the control plane
Grafana advanced governance needs provisioning discipline and review workflows, so automated dashboard changes must go through controlled processes. Retool also needs careful role mapping because permission setups directly affect how actions and data access behave.
How We Selected and Ranked These Tools
We evaluated Retool, Looker Studio, Databox, Tableau, Microsoft Power BI, Grafana, Metabase, Appsmith, DashThis, and Budibase by scoring feature depth at 40%, then ease and value at 30% each. Feature depth emphasized how dashboards handle drill-down, cross-filtering, scheduled refresh behavior, and whether UI interactions can trigger controlled actions through the product workflow layer.
Ease and value reflected how quickly teams can produce consistent dashboards using the tool’s authoring and reuse patterns like semantic measures, saved models, or dashboard templates. Retool ranked highest because UI events can run conditional multi-step API workflows inside the dashboard workflow, and connector coverage supports both database access and REST-style services without forcing a separate application runtime.
Frequently Asked Questions About web dashboard software
How does Retool differ from Grafana when building dashboards that also change data?
Which tool is better for shared operational KPI dashboards with scheduled refresh?
How do embedded analytics workflows compare between Looker Studio and Power BI?
When do teams choose Metabase’s semantic layer instead of Grafana’s direct query panels?
What breaks if dashboards require strong admin governance and audit visibility across teams?
Which option handles interactive drill-down and cross-filtering across charts best?
How do SSO and identity controls show up differently across Tableau Server, Power BI, and Grafana?
How does data migration work when moving dashboard definitions from one system to another?
Where does extensibility fall short for non-technical users in Appsmith compared with Tableau?
Tools reviewed
Primary sources checked during evaluation.
Referenced in the comparison table and product reviews above.
- Data Science AnalyticsTop 10 Best Dashboard Analytics Software of 2026
- Data Science AnalyticsTop 10 Best Real Time Dashboard Software of 2026
- Data Science AnalyticsTop 10 Best Web Analysis Software of 2026
- Data Science AnalyticsTop 10 Best Dashboard Services of 2026
- Data Science AnalyticsTop 10 Best Monitoring Web Services of 2026
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