Based on our record, Plotly should be more popular than Hiver. 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.
Depending on the potential value of the workflow, https://gmelius.com/ and https://hiverhq.com/ are both pretty awesome. Source: about 1 year ago
If you're u sing shared inboxes, you may want to consider https://hiverhq.com/ or https://www.dragapp.com/ for doing shared inbox functionality with workspace. Source: over 1 year ago
You might want to check out Hiver. It's built on top of Gmail, it's really easy to set up and even easier to grasp. It has all the features that your team would need to run its support operations successfully. And its pretty cost-effective against Zendesk. Source: over 1 year ago
Hey I was wondering if you considered trying Hiver since you mentioned that all CX operations were conducted out of Gmail. Hiver's a support solution that works on top of Gmail UI and is therefore really easy to use. Full disclosure: I work with the content team at Hiver. Source: over 1 year ago
I'm thinking that all these other apps might be facilitated in Mattermost. Probably not the email client and inbox email sharing but perhaps there's an integration to another tool like front.com or hiverhq.com (gmail based) that would help take care of managing email too. Source: almost 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 / 18 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
Clean Email - Clean Email is an online service that empowers you to take control of your mailbox.
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.
MailClark - The Slack bot for external communications
Chart.js - Easy, object oriented client side graphs for designers and developers.
Nylas Mail - The Nylas Cloud API powers your application with email, calendar & contacts features. Built-in features for better email, calendar, and contact management.
Highcharts - A charting library written in pure JavaScript, offering an easy way of adding interactive charts to your web site or web application