Built for Mars VS Plotly

Plotly

Low-Code Data Apps

Landing page //
2023-07-12

Landing page //
2023-07-31

Built for Mars | Peter Ramsey

Plotly videos

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Create Real-time Chart with Javascript | Plotly.js Tutorial

Category Popularity

0-100% (relative to Built for Mars and Plotly)

Plotly

Design Tools

100 100%

Design Tools

0% 0

Data Visualization

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Data Visualization

100% 100

User Experience

100 100%

User Experience

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Data Dashboard

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Data Dashboard

100% 100

User comments

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Reviews

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Plotly Reviews

Best 8 Redash Alternatives in 2023 [In Depth Guide]

Plotly is specifically designed for companies who want to build and deploy analytic applications like dashboards using Python, Julia, or R without needing DevOps or Javascript developers.

Source: www.datapad.io

5 Best Python Libraries For Data Visualization in 2023

Plotly is a web-based data visualization toolkit that comes with unique functionalities such as dendrograms, 3D charts, and also contour plots, which is not very common in other libraries. It has a great API offering scatter plots, line charts, bar charts, error bars, box plots, and other visualizations. Plotly can even be accessed from a Python Notebook.

Source: www.technotification.com

Top 8 Python Libraries for Data Visualization

Plotly is a free open-source graphing library that can be used to form data visualizations. Plotly (plotly.py) is built on top of the Plotly JavaScript library (plotly.js) and can be used to create web-based data visualizations that can be displayed in Jupyter notebooks or web applications using Dash or saved as individual HTML files. Plotly provides more than 40 unique...

Source: www.geeksforgeeks.org

5 top picks for JavaScript chart libraries

Plotly is a graphing library that’s available for various runtime environments, including the browser. It supports many kinds of charts and graphs that we can configure with a variety of options.

Source: blog.logrocket.com

Social recommendations and mentions

Based on our record, Plotly should be more popular than Built for Mars. It has been mentiond 29 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Built for Mars mentions (7)

Design is about experience: 5 UX trends to be aware of
Maybe I’m looking in the wrong places but I’m tired of seeing numbered lists of “Design trends to look out for in 202X” with 4 sentences of text between them. I crave longer forms of writing that explains the design aspect of this field. (The only resource I’ve found satisfying was Built for Mars ). Source: over 1 year ago
Ask HN: How to learn design and UI/UX
Some other recommendations: Don’t Make me Think and Rocket Surgery Made Easy by Steve Krug https://builtformars.com/ UX case studies https://www.nngroup.com/ UX analyses and articles Coursera has some UX courses you can audit for free. - Source: Hacker News / over 1 year ago
portfolio tips and advices
Consider that even if you don't have a big portfolio of work, you can do analysis of existing apps / websites / experiences, even a game. Take a look at the case studies here: https://builtformars.com/. Source: over 1 year ago
Thought the Rotten Tomatoes mobile site could use a bit of work
You might enjoy these case studies: builtformars.com They are slides + articles instead of video but very interesting and entertaining. Source: over 1 year ago
Sources to start
There are also nice walkthrough websites you can learn a lot from: Growth.design Built for Mars. Source: almost 2 years ago

Plotly mentions (29)

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: 5 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: 12 months 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
Storing your data in a Plotly Dash data dashboard
Plotly Dash is a great framework for developing interactive data dashboards using Python, R, and Javascript. It works alongside Plotly to bring your beautiful visualizations to the masses. - Source: dev.to / over 1 year ago