Slite Reviews

Plotly Reviews

Slite mentions (10)

• An alternative to Notion?

  We use slite.com and it's really been great. Source: over 1 year ago

• What is ONE SaaS product NOT well known but deserves to be?

  Slite - super underrated knowledge base, prettier and simpler than Notion, cool team & badass blog. Source: over 1 year ago

• Online business owners who make $100k+ yearly profit, what do you do and how much time did it take to make it?

  We use slite.com (for no particular reason) and link to each sop in a google spreadsheet process thats set up for a particular large task. That spreadshseet is shared among everyone. Each SOP contains a video as well of how to do the task being as specific as possible. Source: almost 2 years ago

• Notion alternatives? (and what I’ve tested so far)

  For solo knowledge management: Logseq For collaborative work, longform discussions, shared wiki: Slite. Source: about 2 years ago

• Is async for everyone? Pitch deck by Slite

  This is really just advertising (little content in the slides) for Slite: https://slite.com/. - Source: Hacker News / over 2 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 / 16 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