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Based on our record, Plotly should be more popular than FilePond.js. It has been mentiond 29 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Just looking at the docs for react-dropzone, they recommend Filepond for something similar to what you're looking for. Source: over 1 year ago
I've had this problem for a while. I'm using filepond on the frontend for uploading files, and I've followed their setup documentation, but I cannot for the life of me get it to work. I'm using django-drf-filepond as the backend for my FilePond uploads, but I keep getting `Bad Request: /uploads/process/` errors. My FilePond configuration is. Source: about 2 years ago
This works as intended if the form does not invoke filepond. Source: over 2 years ago
I'm a big fan of this library: https://pqina.nl/filepond/. Source: over 2 years ago
React Filepond - A new way to upload files. - Source: dev.to / over 2 years ago
For dashboards: - https://plotly.com/ is probably my favourite, but there are others like streamlit, voila and others... Source: 5 months ago
If your CEO wants you to solo build an alternative to Tableau, PowerBi, or even Plotly then consider him/her delusional. Source: 11 months ago
Python's pandas, NumPy, and SciPy libraries offer powerful functionality for data manipulation, while matplotlib, seaborn, and plotly provide versatile tools for creating visualizations. Similarly, in R, you can use dplyr, tidyverse, and data.table for data manipulation, and ggplot2, lattice, and shiny for visualization. These packages enable you to create insightful visualizations and perform statistical analyses... Source: 12 months ago
I use plotly and like it a lot. It is slower though. Noticeable if you want to batch-generate a bunch of images and dump them into a folder. But that probably isn't the case most times. Source: about 1 year ago
Plotly Dash is a great framework for developing interactive data dashboards using Python, R, and Javascript. It works alongside Plotly to bring your beautiful visualizations to the masses. - Source: dev.to / over 1 year ago
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