BuilderX Reviews

Plotly Reviews

BuilderX mentions (5)

• A selection of frontend tools

  A browser-based design tool that codes React Native & React for you. Website. - Source: dev.to / 9 months ago

• How to create layout editor

  Do you know on tool that do layout editor for react-native something like https://builderx.io/ ? The idea that you can drag and drop and then you will get a layout. - Source: dev.to / about 2 years ago

• I have poured my heart and soul into my web app, but I can't even get people to try it. Not sure how to figure out why.

  This isn't true by the way - there are a bunch. I have used them in the past for example https://builderx.io/ and they are pretty developed,. Source: about 2 years ago

• Newbie - Need general suggestions for my project

  I had a look at Firebase and also followed a tutorial making a Login- and Registration-page. Seems easy and does the job. I had a look at https://builderx.io/ where I could probably easily create the structure. But I'm afraid to start at the wrong ends or do it too complicated, so please:. Source: over 2 years ago

• Most flexible no code tool for building web sites

  For frontend I only found https://builderx.io/ to be both decent and "open-source". For backend I'm working on this one (release soon): https://app.codoma.tech/landing/. 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 / 19 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