Used by 75% Professionals
Plotly Dash Reviews
Free | Paid4.7
/5
- Linux
- Windows
Plotly Dash has received strong reviews from customers who appreciate its easy-to-use HTML and dash components in addition to its Flask integration. Its extensive support documentation allows for quick solutions to any issues that may arise. Customers have found Plotly Dash to be an effective tool for creating interactive data visualizations quickly and easily. Additionally, Plotly Dash's open-source availability enables its users to customize their visuals and explore analyses conveniently.
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Plotly Dash4.7(53 Ratings)
Plotly Dash4.7(53 Ratings)
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4.8
5.0I absolutely adore how user-friendly Dash is! It's so easy to get the hang of it and start creating interactive web apps. The fact that it's built on top of Python means I can use all the Python skills I already have, which is a huge plus. The visualizations are top-notch, and updating the data in real-time feels like magic. It's been a game-changer for sharing insights with my team. Plus, the community around Dash is super helpful whenever I run into a snag. Definitely a tool I'd recommend to anyone in data science. Review collected by and hosted on G2.com.
4.5One person can do both algorithm development and application development. Review collected by and hosted on G2.com.
5.0Plotly Dash is by far the best and easiest way to create front-end web dashboards in Python. It is built on top of Flask (Python-based web server) as its back-end and React (Javascript-based framework) as its front-end. It uses a "component" based model that is intuitive and easy to pick up. Documentation is outstanding and there are many examples. Review collected by and hosted on G2.com.
4.0I wish there were more sources and online tutorials for learning how to create specific graphs in different ways. I understand this technology is still being worked on and is relatively new but it would greatly help to have some more sources and tutorial points on the product and it's many uses. If more people were able to see just how functional this library is, they may be inclined to even switch from traditional data visualization libraries, or maybe even switch languages as I did within my company! Review collected by and hosted on G2.com.
4.5Documentation. I like that is short but I still think that it might be good to have more in depth explanations of little things that are not explained fully in e.g: conditional formatting for datatable. Review collected by and hosted on G2.com.
4.5Honestly, I don't have too many complaints about plotly, it's a pretty solid framework I'd be happy to use for any new small or large project. Review collected by and hosted on G2.com.
4.8
5.0Excellent 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
5.0This 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.
5.0You can easily create interactive graphs using python. It helps to understand data and communicate efficiently. Interactivity helps reduce the number of graphs.
4.0The range of options for plots and API integration options could be more extensive as it stands it does not cover more advanced and intricate requirements one may have.
4.0UI is not the cleanest, documentation is awful
5.0Customer support could be improved Optimal memory allocation for larger datasets
4.1
4.5We use Plotly Dash to provide online data analysis tools and BI reports for our internal customers. Final products are hosted in a sandbox environment. Data analysis tools aim to quickly visualize small portions of time series data from various aspects. BI reports are interactive reporting tools. They query BI model tables using the user input and automatically generate a new report.
Powerful visualization options. Ability to create in-browser interactive visualization apps. Ability to create hosted apps. Allows you to develop web-based reporting applications without requiring web application development expertise.
4.5Plotly Dash covers all my data analysis visualization work. We use it to create interactive and updatable graphs and are very easy to use if I am working with a large amount of data set. It can be used to quickly generate reports and you can convert JSON data to graphs right from the website.
You can easily create interactive graphs using Python. It has a vast range of customization options, fonts, styles, etc. You can create dashboard with very easy and quickly methods.
4.5We are using Plotly Dash Enterprise open source as a gateway to allow business users to interact with the Sentiment Analysis machine learning application built to understand and influence customer feedback received from Trustpilot, Google, and other social media platforms. Plotly Dash gives the business powerful visual representations of customer intent, emotion, and urgency.
Data visualisation Low code dev Based on python so easy to implement
3.0I used Plotly for a course I was taking at UC Berkeley that required data visualization and plots. I was looking at options and came across Plotly and tried it.
Difficult to set up. Steep learning curve. lot of codes to write.
4.0We use Plotly to help with the creation of web applications for both our intranet page and outward-facing website.
A bit of a learning curve While the interface in intuitive, it takes getting used to at first Difficult to create more complex application layouts
4.5We use Plotly Dash to provide online data analysis tools and BI reports for our internal customers. Final products are hosted in a sandbox environment. Data analysis tools aim to quickly visualize small portions of time series data from various aspects. BI reports are interactive reporting tools. They query BI model tables using the user input and automatically generate a new report.
React JSX syntax support can be added/improved. Built-in UI components can be improved. The API used for AJAX calls can be made more understandable and simpler.
4.8
5.0Overall: 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.
5.0Overall: 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
5.0Overall: It can be used to quickly generate heatmaps and you can convert json data to graphs right from the website
5.0Overall: Beautiful and meaningful plots and graphs supporting my data finding.
5.0"web dev tool for data scientist"
4.0"It's fine"
2.0
2.0Plotly 2.0 is the only choice for a free Community account. The original is not available except with a Pro account, which is now $396 a YEAR, billed annually. This works out to $1.08 PER DAY, for ONE USER. Of course, if you only need it a few days a year, it isn't worth $400. If it's for a business, then okay. Maybe you'd pay that much. But then you're looking at $948, and that's still for a cloud service. Want on-premise, behind-the-firewall protection for your data? That'll be $9,950 p...
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