Dadroit JSON Viewer Reviews

Plotly Reviews

Dadroit JSON Viewer mentions (10)

• Exploring the Transparency in Coverage final rule – a petabyte of data a month

  For anyone interested in exploring the data yourself, here are a few tools https://dadroit.com/: desktop tool for processing large JSON files.There’s a free version so you can get pretty far with it if you’re patient https://www.dolthub.com/repositories/dolthub/quest: they’re running a bounty program for some healthcare providers to process the machine readable files, and have some useful code snippets in case... - Source: Hacker News / over 1 year ago

• A Guided Introduction to the Free Pascal Language

  Note for people who don't know much about FreePascal. It is a full-featured and very fast compiler. The resulting program is a rival for the best output of C/CPP compilers. It can be used in the style of simpler languages like Go and is almost as safe as Rust in a much faster manner. It has a great but old-looking IDE, Lazarus. It has been under active development for decades and is used for proper projects like:... - Source: Hacker News / over 1 year ago

• help utilizing the healthcare price transparency data from insurers (that have been published since July 1)

  The files are insanely large. Eventually the only way I've been able to open them is using the DADROIT large JSON viewer: http://dadroit.com (but even this only worked when I got an M1 Mac). Source: over 1 year ago

• Jsonhero.io: Enhanced JSON structure visualization

  For those looking for the ability to (locally) open and query very large JSON files, Dadroit is great: https://dadroit.com. It's been a while since I used it last, but it was a life saver for me when working with JSON lines files in S3 and Kafka log dumps. A side tidbit, IIRC, it was written in Pascal. - Source: Hacker News / over 1 year ago

• Optimizing massive MongoDB inserts, load 50 million records faster by 33%!

  You can review all the contents of it, but generally, there is one big 5GB JSON file — yelp_academic_dataset_review.json it contains 6,9 🍋 JSON records. Use Dadroid to review massive JSON files. - Source: dev.to / over 1 year ago

Plotly mentions (30)

• Essential Deep Learning Checklist: Best Practices Unveiled

  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 / 5 days ago

• Python equivalent to power bi/power query?

  For dashboards: - https://plotly.com/ is probably my favourite, but there are others like streamlit, voila and others... Source: 6 months ago

• Junior Developer asked to make Saaas in first month.

  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

• PSA: You don't need fancy stuff to do good work.

  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

• Wait, but I thought they were the same thing?

  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: about 1 year ago