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Which is more popular?
Based on our record, Plotly seems to be a lot more popular than Sift. While we know about 34 links to Plotly, we've tracked only 3 mentions of Sift.
Website, pricing, platforms and company facts side by side.
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| Website | plotly.com | sift.com |
| Pricing | — | |
| Company | — | Startup from the United States · 100 - 249 employees · 2011 |
| Listed in |
What each product offers, as listed by its team.


Possible disadvantages
Possible disadvantages
An editorial look at what each product does well and who it suits.


Overall verdict
Why this product is good
Recommended for
Plotly is recommended for data scientists, analysts, and developers who need to create interactive and visually appealing data visualizations. It's particularly useful for those who work with Python or R and want the ability to embed their visualizations in web applications or dashboards.
Overall verdict
Why this product is good
Recommended for
Walkthroughs and reviews on video.
Create Real-time Chart with Javascript | Plotly.js Tutorial
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🙀 Review - Scoopless Lift and Sift Cat Litter Box I Modified it after One Week of Usage
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How often each product is chosen within a category, 0–100% relative to the other.


Share your experience with using Plotly and Sift. For example, how are they different and which one is better?
External articles and on-site reviews we used to compare the two products.


Plotly is specifically designed for companies who want to build and deploy analytic applications like dashboards using Python, Julia, or R without needing DevOps or Javascript developers.
Plotly is a web-based data visualization toolkit that comes with unique functionalities such as dendrograms, 3D charts, and also contour plots, which is not very common in other libraries. It has a great API offering...
Plotly is a free open-source graphing library that can be used to form data visualizations. Plotly (plotly.py) is built on top of the Plotly JavaScript library (plotly.js) and can be used to create web-based data...
We have no reviews of Sift yet. Be the first one to post
Recommendations tracked on public social media and blogs since March 2021.


Let's dive into some practical examples. First, you'll need to set up your environment with the right tools. I recommend using pandas for data manipulation and plotly for visualization. - Source: dev.to / 7 months ago
Plotly is perfect for interactive visualizations. You can create interactive charts and graphs that allow users to hover, click, and zoom in. Plotly is also great for web-based visuals, making it easy to share your findings online. - Source: dev.to / over 1 year ago
Front End: A React application that leverages React-Chatbotify library to easily integrate a chatbot GUI. It also uses the Plotly library to display the charts/visualizations. The generative AI implementation and details are entirely... - Source: dev.to / over 1 year ago
They may be using something like Sift for security checking and something of yours was flagged. Source: about 4 years ago
But sorry to break it to you, this has been done at a really large scale already although most consumers are not aware. One big player here is https://sift.com/ Almost every major retailer uses their service exactly for the reasons you... Source: about 5 years ago
Reddit, for one. A pretty big list on their homepage. Source: over 5 years ago
When comparing Plotly and Sift, you can also consider the following products.

D3.js is a JavaScript library for manipulating documents based on data. D3 helps you bring data to life using HTML, SVG, and CSS.
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RAWGraphs is an open source app built with the goal of making the visualization of complex data...
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eCommerce fraud prevention solution and chargeback protection guarantee for online merchants. Find out how we can help your company boost revenue from online sales using our machine-learning powered eCommerce fraud protection software.
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Tableau can help anyone see and understand their data. Connect to almost any database, drag and drop to create visualizations, and share with a click.
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Signifyd is a SaaS-based, enterprise-grade fraud technology solution for e-commerce stores.
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