Boostnote VS Plotly
Compare Boostnote VS Plotly and see what are their differences
Employee Monitoring Software with Screenshots, Internet, Activity and Time Tracking
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Boostnote
Joplin
Standard Notes
OneNote
Supernotes
Evernote
Google Keep
Notion
Plotly
D3.js
Chart.js
Highcharts
Google Charts
RAWGraphs
Tableau
Microsoft Power BI
Boostnote PlotlyBased on our record, Plotly should be more popular than Boostnote. It has been mentiond 30 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.
Here are a few others you could check: * Amplenote * Boostnote * Zoho Notebook * Google Keep. Source: about 1 year ago
Boostnote has real-time collaboration but it's unclear if you can self-host the markdown files. I think no. Source: over 1 year ago
You can check out this page https://alternativeto.net/software/joplin/?platform=online But the best I could find are - Https://www.taskade.com/ Https://standardnotes.com/ Https://notesnook.com/ Https://bundlednotes.com/ Https://diaroapp.com/ Https://notabase.io/ Https://boostnote.io/ Etc. Source: almost 2 years ago
A quick google search gives me Boost Note and Notejoy. Might be worth a try? Source: almost 3 years ago
Ive also heard positive things about boostnote Https://boostnote.io/. Source: about 3 years ago
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 / 3 days ago
For dashboards: - https://plotly.com/ is probably my favourite, but there are others like streamlit, voila and others... Source: 6 months ago
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
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
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
Joplin - Joplin is a free, open source note taking and to-do application, which can handle a large number of notes organised into notebooks. The notes are searchable, tagged and modified either from the applications directly or from your own text editor.
D3.js - D3.js is a JavaScript library for manipulating documents based on data. D3 helps you bring data to life using HTML, SVG, and CSS.
Standard Notes - A safe place for your notes, thoughts, and life's work
Chart.js - Easy, object oriented client side graphs for designers and developers.
OneNote - Get the OneNote app for free on your tablet, phone, and computer, so you can capture your ideas and to-do lists in one place wherever you are. Or try OneNote with Office for free.
Highcharts - A charting library written in pure JavaScript, offering an easy way of adding interactive charts to your web site or web application