Based on our record, Plotly should be more popular than Mailshake. 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.
When it comes to selecting a client for sending your emails, there are countless options to choose from. We're not affiliated with any specific one, but we've found QuickMail to be effective for maximizing deliverability. While the user interface could be improved, it gets the job done and we haven't found a compelling reason to switch. Other popular alternatives include Instantly, Lemlist, MailShake, and many... Source: over 1 year ago
Create an account on mailshake.com > create a simple automated email funnel of 2 emails, one that sends 7 days after the first one. Source: almost 2 years ago
Lemlist to send emails or Mailshake as another good option. I prefer Lemlist as IMO has a better UI and includes warming-up service. Source: about 2 years ago
Do outreach and follow ups at scale. If you do this right and follow up well, your reply rates sky rocket. For my own job search, I used an email automation tool from Hunter but Mailshake and other tools work too. Source: over 2 years ago
For this, I'm currently using MailShake: https://mailshake.com/. Source: over 2 years 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 / 21 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
lemlist - Send emails that get replies 💌
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.
MailChimp - MailChimp is the best way to design, send, and share email newsletters.
Chart.js - Easy, object oriented client side graphs for designers and developers.
Campaign Monitor - Email marketing software built for designers and their clients to run successful email campaigns.
Highcharts - A charting library written in pure JavaScript, offering an easy way of adding interactive charts to your web site or web application