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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.
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Plotly might be a bit more popular than Postgres.js. We know about 34 links to it since March 2021 and only 24 links to Postgres.js. 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.
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
Bun provides native MySQL, SQlite, and Postgres drivers. I'm not saying Node should support every db in existence but the ones I listed are critical infrastructure at this point. When using Postgres in Node you either rely on the old pg which pulls 13 dependencies[1] or postgres[2] which is much better and has zero deps but mostly depends on a single guy. [1] https://npmgraph.js.org/?q=pg [2]... - Source: Hacker News / 6 months ago
Is there a way to make this work with https://github.com/porsager/postgres ? It's very close to raw SQL but with safe substitutions. I use it with Zod, but it would be great to have the types derived automatically. - Source: Hacker News / 7 months ago
I really want to use pipelining for our "em.flush" of sending all INSERTs & UPDATEs to the db as part of a transaction, b/c my initial prototyping showed a 3-6x increase: https://joist-orm.io/blog/initial-pipelining-benchmark/ If you're not in a transaction, afaiu pipelining is not as applicable/useful b/c any SQL statement failing in the pipeline fails all other queries after it, and imo it would suck for... - Source: Hacker News / 11 months ago
> What are you missing? Everything else needed to make a backend app. At the very least, Node should provide fundamental pieces like database drivers. Currently the best PG driver[1] depends on a single guy. Bun already provides its own PG driver [2] and Jarred has written they will keep investing into more built-in APIs. [1] https://github.com/porsager/postgres [2] https://bun.com/docs/api/sql. - Source: Hacker News / about 1 year ago
I want to use this as a chance to bring attention to a GitHub issue that I think would help reduce friction for Neon: https://github.com/neondatabase/neon/issues/4989. Having run a local dev environment connected to Neon and tests connected to Neon got in our way of adoption. We'd prefer to develop and run tests against a regular Postgres localhost database. To the PMs of Neon, put yourself in the shoes of a new... - Source: Hacker News / over 2 years ago
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.
JDBI - See this.
RAWGraphs - RAWGraphs is an open source app built with the goal of making the visualization of complex data...
Productivity Power Tools - Extension for Visual Studio - A set of extensions to Visual Studio 2012 Professional (and above) which improves developer productivity.
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.
Astro Build - Astro is the web framework that you'll love to use.