Obsidian VS Plotly
Compare Obsidian VS Plotly and see what are their differences
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Obsidian
Notion
Logseq
Joplin
Roam Research
Evernote
Bear
Standard Notes
Plotly
D3.js
RAWGraphs
Tableau
Google Charts
Highcharts
Bokeh
Chart.js
ObsidianPlotly is recommended for data scientists, analysts, and developers who need to create interactive and visually appealing data visualizations. It's particularly useful for those who work with Python or R and want the ability to embed their visualizations in web applications or dashboards.
Perhaps you know someone who swears by Obsidian, it may seem like a cult of overly devoted people for how passionate they are, but it's not without reason
I've been using Obsidian for over 3 years, at a point in my life when I felt I had to handle too much information and I felt like grasping water not being able to remember everything I wanted, language learning, programming, accounting, university, daily tasks. A friend recommended it to me next to Notion (of which he is a passionate cultist priest) and I reluctantly picked it and fell in love almost immediately.
Obsidian seems very simple, like a notepad with folder interface, similar to Sublime Text, but the ability to link files together in a Wiki style allows you to organize ideas in any way you want, one file may lead to a dozen or more ideas that are related
If you want to do something specific, Obsidian has a plethora of community created plugins that expand the functionality, in my case, I use obsidian to organize my classes both as a teacher and as a student, using local databases, calendars, dictionaries, slides, vector graphic drawings, excel-like tables, Anki connection, podcasts, and more
I've been using Obsidian for more than a year. It's been great. I think it offer a great balance of control, flexibility and extensibility. What is more, you own your own data, that's been a must-have feature for me. I just can't imagine putting all my knowledge into something that I don't have control over.
I think two of the most popular alternatives that people consider are Logseq and Roam Research. Although Logseq is a bit different, it's considered compatible with Obsidian. Supposedly, you can use them with a shared database (files. Both use simple text files for storage). I tried that once, a few months ago. It worked, yet it messed up a bit my Obsidian files ¯_(ツ)_/¯.
Based on our record, Obsidian seems to be a lot more popular than Plotly. While we know about 1523 links to Obsidian, we've tracked only 34 mentions of Plotly. 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.
Inline preview, usually called WYSIWYG. Obsidian's Live Preview mode hides the syntax except where the cursor is. Obsidian is a far better personal knowledge base than anything else on this page, with backlinks, a graph and years of plugins, and if that is what you need the question of what its editor is called does not matter much. - Source: dev.to / 15 days ago
The stack is all open source: Obsidian, GBrain, Horizon, PGLite, and a couple of small Python scripts for the state machine and quality gates. None of the interesting parts are proprietary — the interesting part is the discipline. - Source: dev.to / 21 days ago
Obsidian is a note-taking app that stores everything as Plain markdown files. It lets you organize and structure your notes in a Flexible way, and because the files are plain text on disk, anything that can Read a directory can read your notes, including an AI agent. - Source: dev.to / about 1 month ago
Install Obsidian: Download the client from obsidian.md and create a local Vault — just a local folder. - Source: dev.to / 2 months ago
Obsidian (https://obsidian.md/) Honestly its not huge and most are probably obvious, but those are what I immediately install on my machines. - Source: Hacker News / 3 months ago
Let's dive into some practical examples. First, you'll need to set up your environment with the right tools. I recommend using pandas for data manipulation and plotly for visualization. - Source: dev.to / 6 months ago
Plotly is perfect for interactive visualizations. You can create interactive charts and graphs that allow users to hover, click, and zoom in. Plotly is also great for web-based visuals, making it easy to share your findings online. - Source: dev.to / over 1 year ago
Front End: A React application that leverages React-Chatbotify library to easily integrate a chatbot GUI. It also uses the Plotly library to display the charts/visualizations. The generative AI implementation and details are entirely abstracted from the front end. The front-end application depends on a single REST endpoint of the backend application. - Source: dev.to / over 1 year ago
In this tutorial, Mariya Sha will guide you through building a stock value dashboard using Taipy, Plotly, and a dataset from Kaggle. - Source: dev.to / almost 2 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 / about 2 years ago
Notion - All-in-one workspace. One tool for your whole team. Write, plan, and get organized.
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.
Logseq - Logseq is a local-first, non-linear, outliner notebook for organizing and sharing your personal knowledge base.
RAWGraphs - RAWGraphs is an open source app built with the goal of making the visualization of complex data...
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.
Tableau - Tableau can help anyone see and understand their data. Connect to almost any database, drag and drop to create visualizations, and share with a click.