--- description: Learn more about Dash price, benefits, and disadvantages for businesses in Ireland. Read verified software reviews and discover tools that fit your business needs. image: https://gdm-localsites-assets-gfprod.imgix.net/images/capterra/og_logo-e5a8c001ed0bd1bb922639230fcea71a.png?auto=format%2Cenhance%2Ccompress title: Dash Pricing, Cost & Reviews - Capterra Ireland 2026 --- Breadcrumb: [Home](/) > [Data Visualization Software](/directory/30696/data-visualization/software) > [Dash](/software/178865/plotly) # Dash Canonical: https://www.capterra.ie/software/178865/plotly Page: 1 / 2\ Next: [Next page](https://www.capterra.ie/software/178865/plotly?page=2) > Data visualization platform that allows businesses to build interactive web applications, and collaborate on designs with team members. > > Verdict: Rated **4.6/5** by 11 users. Top-rated for **Likelihood to recommend**. ----- ## Overview ### Who Uses Dash? Data visualization solution that enables businesses of all sizes to build \& deploy interactive web applications, collaborate with team members, grant access permissions, and generate reports. ## Quick Stats & Ratings | Metric | Rating | Detail | | **Overall** | **4.6/5** | 11 Reviews | | Ease of Use | 4.5/5 | Based on overall reviews | | Customer Support | 4.2/5 | Based on overall reviews | | Value for Money | 4.8/5 | Based on overall reviews | | Features | 4.4/5 | Based on overall reviews | | Recommendation percentage | 90% | (9/10 Likelihood to recommend) | ## About the vendor - **Company**: Plotly ## Commercial Context - **Pricing model**: Flat Rate (Free version available) (Free Trial) - **Pricing Details**: Please contact Plotly for pricing details. - **Target Audience**: 51–200, 201–500, 501–1,000, 1,001–5,000, 5,001–10,000, 10,000+ - **Deployment & Platforms**: Cloud, SaaS, Web-based - **Supported Languages**: English - **Available Countries**: United States ## Features - API - Collaboration Tools - Customisable Dashboard - Customisable Templates - Dashboard - Data Import/Export - Data Visualisation - Forecasting - Interactive Reports - Reporting/Analytics - Visual Analytics ## Support Options - Chat ## Category - [Data Visualization Software](https://www.capterra.ie/directory/30696/data-visualization/software) ## Related Categories - [Data Visualization Software](https://www.capterra.ie/directory/30696/data-visualization/software) - [Business Intelligence Platform](https://www.capterra.ie/directory/23/business-intelligence/software) - [Reporting Tools](https://www.capterra.ie/directory/30053/reporting/software) - [Embedded Analytics Software](https://www.capterra.ie/directory/31697/embedded-analytics/software) - [Machine Learning Software](https://www.capterra.ie/directory/31103/machine-learning/software) ## Alternatives 1. 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[Dataslayer](https://www.capterra.ie/software/218756/dataslayer) — 4.7/5 (88 reviews) ## Reviews ### "Review of Dash" — 4.0/5 > **Christhian** | *21 October 2024* | Financial Services | Recommendation rating: 8.0/10 > > **Pros**: Dash is a great python famework that helps you to get handson creating a Dashboard or webapp from A-to-Z > > **Cons**: Dash is developped on top of Flask and when it comes to advanced configuration, you'll need to know some more about Flask ----- ### "Suitable for quick, simple MVP dashboards" — 4.0/5 > **Eric** | *20 March 2025* | Education Management | Recommendation rating: 6.0/10 > > **Pros**: As claimed, it was fast to create a prototype/MVP. Could achieve a reactive frontend with little/no knowledge of React - Dash handled the communication with the backend well. > > **Cons**: Even with our simple MVP we hit into customisation limits for the front end display, and needed to start hacking the HTML/CSS by hand. Perhaps this is unfair criticism given what Dash is trying to achieve\! > > Overall it is positive. Fast and works as advertised for an MVP/Dashboard. ----- ### "Excellent framework to create interactive visualisations" — 5.0/5 > **Debarpan** | *18 April 2022* | Marketing & Advertising | Recommendation rating: 10.0/10 > > **Pros**: Excellent interface and user-friendly UI Open-source and free Good community support Connects to multiple data sources like flat files, multiple databases Visualisations update when data is updated Multiple developers can access a visualisation simultaneously - Good team collaboration Real-time analytics Minimal time required to set up and get started > > **Cons**: Customer support could be improved Optimal memory allocation for larger datasets > > We used Dash to generate visualisations. We had huge volumes of data from an enterprise system. We switched to Dash since it looked promising with a wide range of visualisation options and was free. With Dash, we were able to create excellent visualisations, perform analytics to uncover insights, and share the reports with stakeholders. Dash can connect with multiple applications hence we can leverage the capabilities of other advanced analytics applications. Next, all visualisations are stored in a repository and cen be referenced later. ----- ### "web dev tool for data scientist" — 5.0/5 > **Mohannad** | *19 December 2023* | Information Technology & Services | Recommendation rating: 10.0/10 > > **Pros**: Dash by Plotly stands out as an indispensable tool in Python. I believe it is a must-have for data scientists and machine learning engineers, providing not only excellent capabilities for data visualization and exploration but also enabling the easy development of data-related web applications, including dashboards and interfaces to communicate with models. Its advanced features, such as callbacks, enhance its functionality. Additionally, the extensive and responsive community surrounding Dash further adds to its appeal. > > **Cons**: There are no drawbacks to mention; it's an exceptionally good tool for its intended purpose ----- ### "A great complementary tool to Jupyter Notebooks" — 5.0/5 > **Etienne** | *15 February 2022* | Computer Software | Recommendation rating: 10.0/10 > > **Pros**: This tool allowed us to deliver something more meaningful to our clients rather than a script or a Jupyter Notebook. Client was able to see the code and play with its inherent interactivity. > > **Cons**: Callback logic tends to let you think too much about the sequential events, less about parallel stuff. We would have hoped to find more examples in the documentation, we are forced to scrap Github repository for x specific feature. For example the architecture concepts explained are way too scarce. Some part of the doc is incomplete (Cytoscape and other UI kits) > > We have switched from a React app to a Dash by Plotly app. We've later added a full microservice architecture using FastAPI. The app was live and functional within 48 hours, we were amazed how fast was the lift off phase. Our journey with Dash has been mind blowing in term of data science experiments. Also our experience while manipulating network graph was greatly improved, this can help to model and build solutions to complex problems. In short our problem solving skills have been tremendously improved ----- Page: 1 / 2\ Next: [Next page](https://www.capterra.ie/software/178865/plotly?page=2) ## Links - [View on Capterra](https://www.capterra.ie/software/178865/plotly) ## This page is available in the following languages | Locale | URL | | de | | | de-AT | | | de-CH | | | en | | | en-AE | | | en-AU | | | en-CA | | | en-GB | | | en-IE | | | en-IL | | | en-IN | | | en-NZ | | | en-SG | | | en-ZA | | | ko | | ----- ## Structured Data