Ploty Dash Alternatives & ReviewsUsed by 75% Professionals

Ploty Dash Reviews

Free | Paid

4.1

/5

(Alternatives.Co rating)
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Plotty Dash is a trusted premier data app for delivering Python and R-Analytics with no JavaScript or DevOps required. Engineers and data scientists can use Dash to share complex Python analytics with operators and key decision-makers.

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Ploty Dash
4.1
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  • 4.8
  • 4.8
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G2
4.8
Top Comments by G2
Positive Comments
  • Meng (Meg) W.Business Analyst
    Review
    4.5

    I like how I can custom design the webpage using css and even some JS, which really makes the website looks way more aesthetic pleasure than just simple reading a plain chart. The component library is so far pretty robust and complete. This supported most of reporting needs we have. First, I found that some of the error handling message from dash is not very clean, which makes it hard to debug the code without understanding what's happening under the hood; secondly, although dash already has a good amount of chart type supported, we found that customers still have strong need to use some non-traditional graphs, e.g. network graph, collapsible trees which D3 provides; thirdly and so far the most challenging one, we found that it is challenging and inconsistent working with multiple customer support on the same issue. The support people did not seem to be on the same page and we need to spend a lot of time reviewing the same basic questions. Also, the documentation for server management (e.g. upgrade) is not consistent and cannot be used to solve issue in a self-service manner. Fourth, sometimes the user guide cannot keep up with what's new in dash development and still uses old examples. We primarily use dash for comprehensive business report, which sometimes support up to hundreds of business users (concurrently using the report can be challenging). Our report specifically supports business needs like being able to drill down to details and allowing interactive filtering across the dashboard.

  • Ivo Christopher L.Research assistant Bioinformatics
    Review
    5.0

    I am building web applications for Bioinformatics. Before dash I was using python flask and JavaScript. I guess whoever has worked with these two languages in concert knows how painful that can be... Especially if you need a lot of cross-talk between the Front- and the Backend you always find yourself lost in al callback & Ajax POST/GET hell. With dash you still have callbacks but at least they are now easily handled on the backend side. Additionally, I really like this extensibility of the dash environment by building your own react components. The debbuging tools did improve constantly over time but still not as powerfull as the flask debug toolbar https://flask-debugtoolbar.readthedocs.io/en/latest/ If you struggling to build your own custom component watch this youtube video: https://www.youtube.com/watch?v=wifoPPRgG_I Bioinformatics web applications which require a lot cross-talk between Front- and the Backend benefitted a lot of using dash vs python&JavaScript

  • Verified User in BiotechnologySmall-Business(50 or fewer emp.)
    Review
    5.0

    Plotly 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. Plotly Dash is a bit "bulky" and as such is a bit slow - renders of graphs with a lot of data can take a few seconds. Plotly Dash provides web dashboards QC and Business Intelligence analytics for our company. It allows us to build these web dashboards without having to spend months designing a front-end and without having to hire a Software Engineer - time and money saved!

Negative Comments
  • Verified User in Computer SoftwareSmall-Business(50 or fewer emp.)
    Review
    4.0

    I like how intuitive the interfaces you build can be, how dynamic they can be as you're allowed to highlight and view parts of larger graphs and hover to view specific values. It looks very clean and I also appreciate that it can be deployed within a web application. As a web developer developing applications for clients that would like to see their data in action, it is greatly helpful to them to be able to work with and manipulate their data with minimal training and understanding of the inner workings of the technology. I 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! Take it slow through the tutorials and online help that is available and try to really understand what is going on rather than just copying the code. A company I recently worked for wanted me to use R with ShinyR to interact with and display data from a database they built because they were all accustomed to the language already. On the contrary, I had been using python for years and offered to teach them how the same graphs could be built in a much easier way with greater functionality using plotly. I found after reviewing the library further that it is much more dynamic than I originally thought and enjoyed the ability to enhance specific parts on the graph, hover over points to display values, and much more.

  • Meng (Meg) W.Business Analyst
    Review
    4.5

    I like how I can custom design the webpage using css and even some JS, which really makes the website looks way more aesthetic pleasure than just simple reading a plain chart. The component library is so far pretty robust and complete. This supported most of reporting needs we have. First, I found that some of the error handling message from dash is not very clean, which makes it hard to debug the code without understanding what's happening under the hood; secondly, although dash already has a good amount of chart type supported, we found that customers still have strong need to use some non-traditional graphs, e.g. network graph, collapsible trees which D3 provides; thirdly and so far the most challenging one, we found that it is challenging and inconsistent working with multiple customer support on the same issue. The support people did not seem to be on the same page and we need to spend a lot of time reviewing the same basic questions. Also, the documentation for server management (e.g. upgrade) is not consistent and cannot be used to solve issue in a self-service manner. Fourth, sometimes the user guide cannot keep up with what's new in dash development and still uses old examples. We primarily use dash for comprehensive business report, which sometimes support up to hundreds of business users (concurrently using the report can be challenging). Our report specifically supports business needs like being able to drill down to details and allowing interactive filtering across the dashboard.

  • Daniel B.Senior Engineer II
    Review
    5.0

    Of late, Ive become a major fan of Plotlys Dash Python library for data visualization projects. Using Dash, it is possible to create beautiful graphs and figures, then easily distribute them as lightweight web apps, without ever needing to write a single line of HTML or Javascript. I dont think its hyperbolic to say that within the next 18 months, the Dash library will be one of the most important Python data-visualization libraries availableand its all open-source (MIT Licensed). A few things that are disappointing/areas for improvement: * When working with large datasets (multi-million rows), plots can bog down significantly. Plotly can't be faulted too much for this though, as this is going to be a problem endemic to any visualization tool. * Readability of the code can start to become challenging for really large, multi-page apps I've used the Dash libraries now for several personal and professional projects. In both cases, Dash has allowed myself (or our team) to rapidly deploy and test web apps without all the overhead and silo-ing that often occurs on data science projects.This has allowed us to get feedback on our solutions much faster, helping to close the loop in agile development practices.

GetApp
4.8
Top Comments by GetApp
Positive Comments
  • Debarpan M.Marketing and Advertising
    Review
    5.0

    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.

  • Etienne L.Computer Software
    Review
    5.0

    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

  • Anonymous ReviewerComputer Software
    Review
    5.0

    It can be used to quickly generate heatmaps and you can convert json data to graphs right from the website

Negative Comments
  • Sean B.Computer Software
    Review
    4.0

    Overall the software has been very effective at dealing with a specific task, generating useful plots quickly and in an automated way.

  • Anton T.Renewables & Environment
    Review
    4.0

    No Comments

  • Debarpan M.Marketing and Advertising
    Review
    5.0

    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.

Trustradius
4.1
Top Comments by Trustradius
Positive Comments
  • Verified User
    Review
    4.5

    We 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.
    Plotly Dash suits well where you need to build a web-based reporting tool as a minimum viable product. You will be surprised when you build your first hosted web-based reporting tool in a few minutes without the need for web development expertise. However, when it comes to building a more complete solution, you may feel a bit restricted by the options provided by the API. But as you imagine, this is the cost of the abstraction of the web development layer, in other words, simplicity vs completeness. Still, Plotly Dash is a powerful option whenever you prefer simplicity over completeness.
    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.
    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.

  • Abhishek AnkushManagement Information System Executive
    Review
    4.5

    With the lower price range, Plotly has all features for a data analyst. You can easily create dashboards, charts, graphs. It enables data science teams to build, design, deploy and securely manage data-driven applications that align with your business goals. It is easy to create beautiful and interactive data visualization and charts in any programming language.
    We are working on large datasets and we needed a BI tool to create the visualization and dashboard for our report Plotly Dash is well suited here. I can now easily make the dashboard. We primarily use Plotly for comprehensive business reports, which sometimes support up to hundreds of business users. Our report specifically supports business needs like being able to drill down to details and allowing interactive filtering across the dashboard.
    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.
    It will great if the callbacks could be more dynamic. If the interactive labels will be customizable then it will good. All the other features in this software is good.

  • Verified User
    Review
    4.5

    Tableau is great for basic dashboard visualisations using an ETL transfer layer from production. However, Plotly Dash is specifically designed for visualisation of machine learning applications. That's the key difference.
    Plotly Dash open source components are quite powerful, fit for purpose, and easy to implement. We used a combo of bootstrap, trich, material UI, and data visualization components to allow marketing and product to interact with a wide range of sentiment and churn data analytics based on key markets, demographics, and product type.
    Data visualisation Low code dev Based on python so easy to implement
    Would be good if Dashboard Engine was included in the Enterprise VPC plan Would love to see ready made fintech apps

Negative Comments
  • Verified User
    Review
    4.5

    We 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.
    Plotly Dash suits well where you need to build a web-based reporting tool as a minimum viable product. You will be surprised when you build your first hosted web-based reporting tool in a few minutes without the need for web development expertise. However, when it comes to building a more complete solution, you may feel a bit restricted by the options provided by the API. But as you imagine, this is the cost of the abstraction of the web development layer, in other words, simplicity vs completeness. Still, Plotly Dash is a powerful option whenever you prefer simplicity over completeness.
    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.
    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.

  • Abhishek AnkushManagement Information System Executive
    Review
    4.5

    With the lower price range, Plotly has all features for a data analyst. You can easily create dashboards, charts, graphs. It enables data science teams to build, design, deploy and securely manage data-driven applications that align with your business goals. It is easy to create beautiful and interactive data visualization and charts in any programming language.
    We are working on large datasets and we needed a BI tool to create the visualization and dashboard for our report Plotly Dash is well suited here. I can now easily make the dashboard. We primarily use Plotly for comprehensive business reports, which sometimes support up to hundreds of business users. Our report specifically supports business needs like being able to drill down to details and allowing interactive filtering across the dashboard.
    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.
    It will great if the callbacks could be more dynamic. If the interactive labels will be customizable then it will good. All the other features in this software is good.

  • Verified User
    Review
    4.5

    Tableau is great for basic dashboard visualisations using an ETL transfer layer from production. However, Plotly Dash is specifically designed for visualisation of machine learning applications. That's the key difference.
    Plotly Dash open source components are quite powerful, fit for purpose, and easy to implement. We used a combo of bootstrap, trich, material UI, and data visualization components to allow marketing and product to interact with a wide range of sentiment and churn data analytics based on key markets, demographics, and product type.
    Data visualisation Low code dev Based on python so easy to implement
    Would be good if Dashboard Engine was included in the Enterprise VPC plan Would love to see ready made fintech apps

Capterra
4.8
Top Comments by Capterra
Comments
  • Etienne L.full stack dev
    Review
    5.0

    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
    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.
    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)

  • Debarpan M.Student
    Review
    5.0

    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.
    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
    Customer support could be improved Optimal memory allocation for larger datasets

  • Sean B.Student
    Review
    4.0

    Overall the software has been very effective at dealing with a specific task, generating useful plots quickly and in an automated way.
    This platform does charts, and it covers the basics incredibly well and will serve most needs. The primary selling point for me has been the fact that the platform integrates with other services like Integromat to generate beautiful plots autonomously which is incredibly useful.
    The 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.

  • Bartosz G.Mudlogger/Junior data engineer
    Review
    5.0

    I made some great plots and graphs with that tool. It has help me so much with my studies! And the graphs are beautiful.
    There are so many plots to choose from! It has features that you know from excel (spreadsheet), and has a vast range of customization options. Fonts, styles, all you need. Also, your data is saved on the account, which is nice, because you can come back to it later!
    The free plan is of course limited. But who would say that this is actually a con?

  • Verified Reviewer
    Review
    5.0

    It can be used to quickly generate heatmaps and you can convert json data to graphs right from the website
    You can easily create interactive graphs using python. It helps to understand data and communicate efficiently. Interactivity helps reduce the number of graphs.
    They offer a lot of services and it can get confusing on where to start, reach out to their customer service in case you are stuck

  • Sonali S.student
    Review
    5.0

    1. The plots are interactive and beautiful 2. The code is easy to understand 3. A wide range of plots are available 4. Can also be used offline
    1. The interactive labels are not customizable 2. Loading the graph takes time 3. Very less number of plots can be made with a single set of API keys

Alternativeto.net
2.0
Top Comments by Alternativeto.net
Comments
  • MortallyWounded
    Review
    2.0

    Plotly 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...