Based on our record, Logseq should be more popular than Plotly. It has been mentiond 281 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.
Nice! I used https://wiki.systemcrafters.net/emacs/org-roam/ for a while but switched to LogSeq (https://logseq.com/) because org-roam was buggy. I like working with LogSeq, but even after a couple of years of using it, I’m not convinced by the Zettelkasten method. Maybe I’m doing it wrong! - Source: Hacker News / about 1 month ago
Sorry, but _what exactly_ «it seems to do» from your point of view? My «second brain» now is almost 300Mb of text, pictures, sound files, PDF and other stuff. As I already mentioned, it contains tables, mathematical formulae, sheet music, cross-references, code samples, UML diagrams and graphs in Graphviz format. It is versioned, indexed by local search engine, analyzed by AI assistant and shared between many... - Source: Hacker News / 6 months ago
Obsidian is great. For those looking for an open source alternative (or don't want to pay the Obsidian fees for professional usage) check out Logseq: https://logseq.com/. - Source: Hacker News / 6 months ago
For an opensource alternative to Obsidian checkout Logseq (1). I spent a while thinking obsidian was opensource out of my own ignorance and was disappointed when I learned it was not. 1: https://logseq.com/. - Source: Hacker News / 6 months ago
I use logseq to keep journal of my daily work. Source: 7 months 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 / 20 days ago
For dashboards: - https://plotly.com/ is probably my favourite, but there are others like streamlit, voila and others... Source: 7 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: over 1 year ago
Obsidian.md - A second brain, for you, forever. Obsidian is a powerful knowledge base that works on top of a local folder of plain text Markdown files.
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.
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.
Chart.js - Easy, object oriented client side graphs for designers and developers.
Notion - All-in-one workspace. One tool for your whole team. Write, plan, and get organized.
Highcharts - A charting library written in pure JavaScript, offering an easy way of adding interactive charts to your web site or web application