Odoo VS d3

There's odoo, https://github.com/odoo/odoo

I'd be interested in the experience of other fellows with it, or maybe there are different ones?

HI, i have found www.odoo.com this tool, that seems to do a lot, I have tested it a few years ago, and it seems to have come a long way since, my question is if anyone is using or has tested this tool and of so, wich apps are you using.

Sounds like they need an ERP. They could try out Odoo

https://www.odoo.com/

it has an open source version that can be self hosted as well as their cloud hosted version with more modules available.

Belgian company, very complete offering ( used to be called OpenERP) - https://www.odoo.com/

Note: I have OpenERP v7 still running for free ( well, except my VPS).

I mentioned it in another comment but Odoo is one of the best example of how open source could help us build that ecosystem. It has allowed them to work with a network of web agencies that customize and implement their solution

Product surface is huge indeed! That's why we're only starting with a small/focused piece.

[1] https://github.com/odoo/odoo

Go check www.odoo.com. Essentially fits what you need. :)

https://www.odoo.com/ could be a good starting point and can be extended according to your needs

If you want a 10k signing bonus, check out the jobs at www.odoo.com

Yes this was done with a combination of GSAP Scrolltrigger https://gsap.com/docs/v3/Plugins/ScrollTrigger/ and https://d3js.org/

d3 - very power visualization library enabling dynamic visualizations. docs

Yep, Evidence is doing good work. We were most directly inspired by VitePress; we spent months rewriting both D3’s docs (https://d3js.org) and Observable Plot’s docs (https://observablehq.com/plot) in VitePress, and absolutely loved the experience. But we wanted a tool focused on data apps, dashboards, reports — observability and business intelligence use cases rather than documentation. Compared to Evidence, I’d say we’re trying to target data app developers more than data analysts; we offer a lot of power and expressiveness, and emphasize custom visualizations and interaction (leaning on Observable Plot or D3), as well as polyglot programming with data loaders written in any language (Python, R, not just SQL).

D3.js: A robust library to visualize your data and create interactive data-driven visualizations.

They are images so it could be any number of things, datawrapper, charts.js, d3.js to name a few options.

I made this interactive visualization that attempts to show the real-time frequency and location of births around the world. A country’s annual births (i.e. the country’s population times its birthrate) were distributed across all of the populated locations in each country, weighted by the population distribution (i.e. more populated areas got a greater fraction of the births). Data Sources and Tools Population and birthrate data for 2023 was obtained from Wikipedia (Population and birth rates). Population distribution across the globe was obtained from Socioeconomic Data and Applications Center (sedac) at Columbia University. Data is processed and visualized at a 1 degree x 1 degree resolution, each of which has a different probability of a birth occurring in a specific time period. D3.js was used to create the map elements and html, css and javascript were used to create the user interface.

When I go to the homepage of types/d3 the only hint for any kind of documentation is what seems to be the main github page of d3. It's highly possible I'm missing something here, so sorry if I am but I can't find any documentation of how you are supposed to type these library objects.

Website: D3.js official site

D3js