Plotly
D3.js
Chart.js
Highcharts
Google Charts
RAWGraphs
Tableau
Microsoft Power BI
ProsperStack
Raaft
ChurnKey
ChurnBuster
Upzelo
BurnChurn
Baremetrics Cancellation Insights
Adaptive Pulse
When it comes to revenue growth, having a high churn rate is like filling a leaky bucket.
Stop wasting time and money on patches. Upgrade your bucket.
Meet ProsperStack: The only platform that automates and enhances subscriber acquisition and retention experiences so you can keep the customers you’ve already earned.
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ProsperStack's answer:
Our vision is to be the ultimate subscriber acquisition and retention machine. It takes a team of experts to build the perfect solution to your subscriber churn. Luckily, we've got expertise in every area of the subscription economy.
ProsperStack's answer:
ProsperStack's answer:
High volume subscription businesses that allow customers to cancel online.
ProsperStack's answer:
ProsperStack is tech-stack agnostic. We offer more integrations than anyone on the market, including custom API integrations, so you can use all your favorite tools to reduce customer churn.
Based on our record, Plotly seems to be more popular. It has been mentiond 30 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.
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 / 23 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
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.
Raaft - Reduce SaaS churn
Chart.js - Easy, object oriented client side graphs for designers and developers.
ChurnKey - The only platform that fixes every type of churn for you.
Highcharts - A charting library written in pure JavaScript, offering an easy way of adding interactive charts to your web site or web application
ChurnBuster - Stop Losing Money toFailed Payments in Stripe. Churn Buster saves you thousands of dollars every month by ensuring your customers update their payment information.
