Tolaria
LedgerMind
Mem0
Hacker Noon
SAME (Stateless Agent Memory Engine)
Contextify
Klee
Alma by Olivares.AI
Plotly
D3.js
RAWGraphs
Tableau
Google Charts
Highcharts
Bokeh
Chart.js
Plotly 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 seems to be a lot more popular than Tolaria. While we know about 34 links to Plotly, we've tracked only 2 mentions of Tolaria. 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 work! On quick testing: A. It is much more performant as compared to Electron-type applications. B. It remembers the toggle state for the sidebar upon restarting, which is great! Just now many apps get this miss on this is pitiful. C. Line spacing setting is great to have. Some feedback: 1. Allow changing sort order for the notes. Currently only alphabetical. I need reverse-chronological so that most... - Source: Hacker News / 25 days ago
> waffling about moving from Notion to something local/markdown based for a while. Check out Tolaria [1]. Open source, works locally, uses markdown, no-databases. Git client built-in. Even has Notion-style input. [1]: https://tolaria.md. - Source: Hacker News / 4 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
LedgerMind - LedgerMind — an autonomous living memory for AI agents. It self-heals, resolves conflicts, distills experience into rules, and evolves without human intervention. SQLite + Git + reasoning layer. P...
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.
Mem0 - Your private, local memory layer for all AI tools
RAWGraphs - RAWGraphs is an open source app built with the goal of making the visualization of complex data...
Hacker Noon - How hackers start their afternoons.
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.