
Tana
Obsidian.md
Logseq
Capacities
Notion
HyNote AI
Reflect
AFFiNE
Plotly
D3.js
RAWGraphs
Tableau
Google Charts
Highcharts
Bokeh
Chart.js
Tana
PlotlyPlotly 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.
Based on our record, Plotly should be more popular than Tana. It has been mentiond 34 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.
This looks very similar to a FoSS version of Tana: https://tana.inc/ Which is well timed because I've been increasingly leaning more into Tana but also being like "it would really suck if this tool goes away". Having something that has the same ergonomics of Tana but is more open is really interesting. - Source: Hacker News / 9 months ago
Looks great! Would be interested to hear how people are getting on with Tana (https://tana.inc/), the tool from which this idea was borrowed. - Source: Hacker News / over 1 year ago
On the https://tana.inc/ page in the use case videos the app looks slightly different. Source: almost 3 years ago
I have been using tana for knowledge management and as a Kanban board for tracking work. From past experience, I've learned that I am motivated by productivity metrics. Therefore, I implemented two tana commands in order to track the work that I complete and receive notifications on my productivity stats. - Source: dev.to / about 3 years ago
Be sure to check out Tana (https://tana.inc/). The new kid on the block and best described as if Notion and Roam had a baby. They have a (beta) quick capture app, the Android version of which currently needs to be downloaded as an APK. Source: about 3 years 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 / 4 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 / over 1 year 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
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.
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...
Capacities - A powerful note-taking tool. All your ideas โ typed and connected.
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.