Clean Email Reviews

Plotly Reviews

Clean Email mentions (5)

• Best email cleaners?

  Does anyone have any of these cleaners they pay for or use that they highly recommend? Has anyone used clean.email? Source: about 1 year ago

• Looking for technical/postmaster contact information of the team managing Comcast IMAP servers

  We are the team behind https://clean.email — an email cleaning app. We currently have ~3,000 users who are using Clean Email to clean their Comcast mailboxes. About two weeks ago we started seeing an error trying to connect to users' accounts — "NO [ALERT] Temporarily blacklisted IP Address - try again later". Source: about 1 year ago

• Looking for Email Open Source Software

  I'm looking for an open source email client that I can use like https://clean.email/ . I want to use it to create rules and stuff to clean my inbox from my computer automatically so that I can have a clean inbox. I have not been able to do this with Google or Apple Mail. I'm comfortable paying for extensions, themes, and other software purchases but I'm against paying for software subscriptions, which is why I'm... Source: over 1 year ago

• Service for cleaning your mailbox

  I signed up for clean.email this month and I've been happy with the bulk unsubscribe and archive features. Source: almost 2 years ago

• Run rule against email in a folder

  I don’t believe that is possible I’m Airmail. I wanted to prune 15 years of emails using certain rules as you’ve described, so I used https://clean.email/. Source: over 3 years ago

Plotly mentions (30)

• Essential Deep Learning Checklist: Best Practices Unveiled

  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 / 20 days ago

• Python equivalent to power bi/power query?

  For dashboards: - https://plotly.com/ is probably my favourite, but there are others like streamlit, voila and others... Source: 7 months ago

• Junior Developer asked to make Saaas in first month.

  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

• PSA: You don't need fancy stuff to do good work.

  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

• Wait, but I thought they were the same thing?

  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