Plotly Dash vs. ggplot2 Comparison


Plotly Dash Plotly	ggplot2	+	+
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About Dash & Dash Enterprise let you build & deploy analytic web apps using Python, R, and Julia. No JavaScript or DevOps required. Through Dash, the world's largest companies elevate AI, ML, and Python analytics to business users at 5% the cost of a full-stack development approach. Deliver apps and dashboards that run advanced analytics: ML, NLP, forecasting, computer vision and more. Work in the languages you love: Python, R, and Julia. Reduce costs by migrating legacy, per-seat licensed software to Dash Enterprise's open-core, unlimited end-user pricing model. Move faster by deploying and updating Dash apps without an IT or DevOps team. Create pixel-perfect dashboards & web apps, without writing any CSS. Scale effortlessly with Kubernetes. Support mission-critical Python applications with high availability.	About ggplot2 is a system for declaratively creating graphics, based on The Grammar of Graphics. You provide the data, tell ggplot2 how to map variables to aesthetics, what graphical primitives to use, and it takes care of the details. ggplot2 is now over 10 years old and is used by hundreds of thousands of people to make millions of plots. That means, by-and-large, ggplot2 itself changes relatively little. When we do make changes, they will be generally to add new functions or arguments rather than changing the behavior of existing functions, and if we do make changes to existing behavior we will do them for compelling reasons. If you are new to ggplot2 you are better off starting with a systematic introduction, rather than trying to learn from reading individual documentation pages.
Platforms Supported Windows Supported Mac Not Supported Linux Not Supported Cloud Supported On-Premises Not Supported iPhone Not Supported iPad Not Supported Android Not Supported Chromebook Not Supported	Platforms Supported Windows Not Supported Mac Not Supported Linux Not Supported Cloud Supported On-Premises Not Supported iPhone Not Supported iPad Not Supported Android Not Supported Chromebook Not Supported
Audience Data science teams	Audience Developers searching for a powerful Component Libraries solution
Support Phone Support Supported 24/7 Live Support Not Supported Online Supported	Support Phone Support Not Supported 24/7 Live Support Not Supported Online Supported
API Offers API Not Supported	API Offers API Not Supported
Screenshots and Videos View more images or videos	Screenshots and Videos View more images or videos
Pricing No information available. Free Version Supported Free Trial Not Supported	Pricing No information available. Free Version Not Supported Free Trial Not Supported
Reviews/Ratings Overall 4.5 / 5 ease 5.0 / 5 features 4.5 / 5 design 5.0 / 5 support 4.5 / 5 Read all reviews	Reviews/Ratings Overall 0.0 / 5 ease 0.0 / 5 features 0.0 / 5 design 0.0 / 5 support 0.0 / 5 This software hasn't been reviewed yet. Be the first to provide a review: Review this Software
Pros & Cons from Real Users Pros I am a rookie Python developer and even people like me can easily deploy and maintain ML models and apps. - Plotly creates really beautiful graphs and charts. It's much more presentable and pleasing to the eye than something made with Excel. Cons No cons as of now. It is very easy to use and understand. - The fact that it is a paid software can be a deal-breaker for some people like students etc. They still have a free version though.
Training Documentation Not Supported Webinars Not Supported Live Online Not Supported In Person Not Supported	Training Documentation Supported Webinars Not Supported Live Online Not Supported In Person Not Supported
Company Information Plotly Founded: 2013 Canada plotly.com	Company Information ggplot2 ggplot2.tidyverse.org
Alternatives Highcharts Highsoft	Alternatives Matplotlib
Juicebox Juice Analytics	Seaborn
Bokeh	Vega-Altair
Hex	Orange University of Ljubljana
ReportDash View All	PyQtGraph View All
Categories Component Libraries Supported Data Science Supported Data Visualization Supported Embedded Analytics Supported	Categories Component Libraries Supported Data Visualization Supported
Data Visualization Features Analytics Supported Content Management Not Supported Dashboard Creation Supported Filtered Views Not Supported OLAP Not Supported Relational Display Not Supported Simulation Models Supported Visual Discovery Not Supported
Integrations R Supported Comet Supported F# Supported Julia Supported Kedro Supported Lyftrondata Supported MATLAB Supported Make Supported NVIDIA RAPIDS Supported OpenMemory Supported Python Supported Spotfire Supported Tableau Supported ThinkData Works Supported Voxel51 Supported Zepl Supported data.world Supported navio Supported neptune.ai Supported skills.ai Supported Show More Integrations View All 20 Integrations	Integrations R Supported Comet Not Supported F# Not Supported Julia Not Supported Kedro Not Supported Lyftrondata Not Supported MATLAB Not Supported Make Not Supported NVIDIA RAPIDS Not Supported OpenMemory Not Supported Python Not Supported Spotfire Not Supported Tableau Not Supported ThinkData Works Not Supported Voxel51 Not Supported Zepl Not Supported data.world Not Supported navio Not Supported neptune.ai Not Supported skills.ai Not Supported Show More Integrations View All 1 Integration
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