GnuCash might be a bit more popular than Plotly. We know about 38 links to it since March 2021 and only 30 links to 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.
Https://gnucash.org/ is a pretty solid free and open source option. The catch being its UI probably isn't as refined as some other options, and I'm not sure how/if online banking connections work, so can be a bit manual. Source: about 1 year ago
Could checkout https://gnucash.org/. Probably not as nice as a UI as some other options, but its quite robust in terms of tracking your finances. It has a budgeting feature, but I never used it. Worst case could use another app just for budgeting and GnuCash for general tracking of the current state of your accounts, and generating reports and such. Source: about 1 year ago
As of today (2/22/2023), gnucash.org seems to be up and running. Do the young folks still use "woot" as an exclamation of delight or is that already passe??😄. Source: over 1 year ago
I guess PART of my concern is that when you have a blank screen at gnucash.org for too long, it APPEARS to the outside world... People who might wish to consider using and supporting gnucash... that there is a problem that the organization is unable to handle and therefore the question arises "Are the team at gnucash competent or incompetent"? Source: over 1 year ago
I am a fan of Open Source projects and I've known about GnuCash for some time. I've started an online personal finance course that uses GnuCash, HOWEVER, the gnucash.org site seems to have been down for days or weeks lately. What's up. I thought the pandemic was over and the 'ronavirus was going into obscurity... Am I wrong? Did the team all die off? Are they not taking this seriously? OR... Is there actually... Source: 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 / 13 days ago
For dashboards: - https://plotly.com/ is probably my favourite, but there are others like streamlit, voila and others... Source: 7 months ago
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
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
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: over 1 year ago
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