Based on our record, IPFS should be more popular than Plotly. It has been mentiond 289 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.
IPFS (optional: if you want to run your own IPFS node). - Source: dev.to / 8 days ago
When I click on https://synapsemedia.io/ I get redirected to a link like https://ipfs.io/ipns/synapsemedia.io (to use ipfs.io instead of my local node). Source: about 1 year ago
You may already be aware that the Interplanetary File System or IPFS is a distributed storage network where computers from all over the world form nodes to share data. Source: over 1 year ago
In case of you don't trust them, it gets harder. Especially if you need to have it hosted without any trace to yourself. I'd probably pay a service to store my data on ipfs. You can pay with crypto. But I'm this case there's the question, how will you be able to access it. My thought would be to have a [tails][tails] USB with the necessary software. Source: over 1 year ago
Https://ipfs.io is the only acceptable file host. Source: over 1 year ago
How to Accomplish: Utilize visualization libraries like Matplotlib, Seaborn, or Plotly in Python to create histograms, scatter plots, and bar charts. For image data, use tools that visualize images alongside their labels to check for labeling accuracy. For structured data, correlation matrices and pair plots can be highly informative. - Source: dev.to / 15 days ago
For dashboards: - https://plotly.com/ is probably my favourite, but there are others like streamlit, voila and others... Source: 7 months ago
If your CEO wants you to solo build an alternative to Tableau, PowerBi, or even Plotly then consider him/her delusional. Source: about 1 year 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: about 1 year 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: over 1 year ago
Dropbox - Online Sync and File Sharing
D3.js - D3.js is a JavaScript library for manipulating documents based on data. D3 helps you bring data to life using HTML, SVG, and CSS.
Google Drive - Access and sync your files anywhere
Chart.js - Easy, object oriented client side graphs for designers and developers.
FileCoin - Filecoin is a data storage network and electronic currency based on Bitcoin.
Highcharts - A charting library written in pure JavaScript, offering an easy way of adding interactive charts to your web site or web application