Stately Viz Reviews

Plotly Reviews

Stately Viz mentions (7)

• The Unreasonable Effectiveness of Sequence Diagrams in MermaidJS

  Thanks for sharing! There's an updated viz at https://stately.ai/viz but that will soon be fully part of the studio at https://state.new (which can export to Mermaid now and PlantUML soon!). - Source: Hacker News / 11 months ago

• Sketch.systems

  I guess it's possible to convert Sketch.systems format into XState, or other similar ones. Sketch.systems seems to be much mor elightweight, which is important for fast prototyping, and lowering barrier to entry for non-tech people. Another relevant method is Event Modeling[6], which is somewhat in the middle between Breadboading and EventStorming[7]. Its main advantage is that checks the Information Completenes... - Source: Hacker News / about 1 year ago

• How to resolve the challenges I face as a PM?

  You can read up on these. It's been a while but I think this was the tool I used, or something like it: https://stately.ai/viz. I had an engineer get me started by adding a couple of basic states and then I copied, modified and did a little experimentation. Source: over 1 year ago

• Facts about State Machines

  Statecharts (hierarchical state machines) for the modern web: https://github.com/statelyai/xstate#readme https://xstate.js.org/ Visualizer: https://stately.ai/viz. - Source: Hacker News / over 1 year ago

• D2: A new declarative language to turn text into diagrams

  Also: The XState Visualizer generates nice looking statecharts: https://stately.ai/viz Click See an example in the left pane, then click Visualize at the bottom of the right pane. On the roadmap are visualizations for XState's actors facility, i.e. Multiple statecharts interacting with one another. If you login, you can save/fork statecharts and get shareable links for them. There doesn't seem to be... - Source: Hacker News / almost 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