Based on our record, Vector Magic should be more popular than Tableau. It has been mentiond 35 times since March 2021. 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.
I think vector magic is the current state of the art: https://vectormagic.com/?=20 No one seems to have tried to leverage deep learning yet; either because they haven't thought of doing so, or it just wouldn't be worthwhile. Image to SVG's are an inherently deterministic task, with not much room for the noisy error of most deep learning models like stable diffusion and such. I think algorithmic approaches... - Source: Hacker News / 4 months ago
The best pixel to vector is still vectormagic. They are on it since at least 2009 and have a native desktop app. I am not affiliated but just a bit flabbergasted that they are still so far ahead. https://vectormagic.com/. - Source: Hacker News / 6 months ago
This is the most impressive raster to vector I have seen: https://vectormagic.com Vtracer doesn't seem to do as well. - Source: Hacker News / 6 months ago
I'm a graphic designer and Vector Magic[1] still is my gold standard for vectorizing logos. Expensive but worth it. [1] https://vectormagic.com/. - Source: Hacker News / 8 months ago
When it comes to converting PNG images to SVG, Vector Magic stands out as a reliable tool with a long-standing reputation. While Vector Magic is not free, its automatic vectorization capabilities have made it a go-to choice for many designers and developers. It’s worth noting that it also supports other raster image formats like JPG, BMP, and GIF. With a few simple steps, you can convert bitmap images to... - Source: dev.to / 11 months ago
Hey everyone, I'm interested in taking the Tableau Certified Data Analyst Exam Readiness course through tableau.com to prepare and get Tableau certified. I had some questions about the course, such as are the videos pre recorded or in person, do you have access to the material once the 90 days expire, and I was also wondering if anyone had input/advice for this course. Thanks! Source: 10 months ago
Could anyone recommend what media I should approach to publish my work (internet or print). I could try the Tableau forum in tableau.com but it's not very active + Tableau may be unappreciative as my work overlaps with their (pricey) data management solution. Plus it needs to be some high visibility / reputable media to count for my career development. Any recommendations welcome thanks!!! Source: over 1 year ago
Tableau public: tableau.com. Big player but your data will be made public and not really user-friendly data model. Source: about 2 years ago
For example, we have a project to compare Tableau, Power BI, and InetSoft. The need for strong pagination-based email delivery eliminated Tableau. AWS's Linux instance is the targeted platform which makes Power BI less than ideal. Source: about 2 years ago
I just started learning Tableau because our dept is transitioning into Tableau from Power BI. Since I already have years of experience with Power BI I just went over their tutorials from tableau.com and got onboarded pretty quick. I'm still learning it but I'm at least able to build out reports and get things done. Its not too difficult to pickup one BI tool when you have experience with another. Source: over 2 years ago
Inkscape - Inkscape is a free, open source professional vector graphics editor for Windows, Mac OS X and Linux.
Microsoft Power BI - BI visualization and reporting for desktop, web or mobile
Autotracer.org - Free online image vectorizer
Looker - Looker makes it easy for analysts to create and curate custom data experiences—so everyone in the business can explore the data that matters to them, in the context that makes it truly meaningful.
potrace - Open source program that transforms bitmaps into vector graphics.
Qlik - Qlik offers an Active Intelligence platform, delivering end-to-end, real-time data integration and analytics cloud solutions to close the gaps between data, insights, and action.