WooCommerce Reviews

1. Beard

   11 months ago
   Not very comfortable.

   My experience with Woocommerce has unfortunately left me feeling that it's an outdated platform. The user interface seems stuck in the past and lacks the intuitive and sleek design that modern platforms offer. Navigating through its features can be cumbersome and time-consuming. Compared to other ecommerce solutions I've used, Woocommerce lacks the ease of use and efficiency that I believe is crucial in today's fast-paced digital world. I find it disappointing and would recommend seeking more updated and user-friendly platforms for your ecommerce needs.

   🏁 Competitors: WiX, WordPress
2. Team Wisdom

   | Small business Owner at SmokeHub | over 1 year ago
   Need to hire a developer to make all the functions work

   WooCommerce provides WordPress-based open-source platform for retailers. It is a WordPress plug-in that you may use to add ecommerce functionality to a website; it is not a standalone website builder though.

   If you utilize this ecommerce website builder, you’ll probably want to collaborate with a developer in order to make all the complicated functions running well.

   🏁 Competitors: QPe, WiX

Plotly Reviews

WooCommerce mentions (0)

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