ListKit.io Reviews

1. Simon Henshaw

   | Founder at [REDACTED] | almost 3 years ago
   Very impressed

   Very impressed with the quality of service and fast delivery. The leads were excellent quality and the personalized lines that came with them were great too. Made getting my campaigns up and running that much faster and less hassle than they usually are. Even when there was a tiny issue with my list, the team was extremely prompt and accommodating to fix my problem - which they did so immediately. All in all super happy with ListKit and I will be buying leads from them again.

Plotly Reviews

ListKit.io mentions (2)

• [TRADE] Looking for Lead Gen Masterclass by listkit.io

  I am looking for Lead Gen Masterclass by listkit.io. Source: almost 3 years ago

• How do you find direct phone numbers for corporate execs? What tools do you recommend?

  Check listkit.io - they'll do it for you. Source: almost 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 / 6 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: about 1 year ago