Based on our record, Balsamiq seems to be a lot more popular than Evidently AI. While we know about 30 links to Balsamiq, we've tracked only 2 mentions of Evidently AI. 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.
A few apps that are a joy to use: https://ia.net/writer for writing. https://usecontrast.com/ for checking contrast. https://sipapp.io/ for picking colors. https://nova.app/ for editing code. https://cleanshot.com/ for screenshots. https://getpixelsnap.com/ for measuring elements on screen. https://netnewswire.com/ for reading things via RSS. https://panic.com/transmit/ for file transfers. https://usefathom.com/... - Source: Hacker News / 7 months ago
I think the best practical approach for designing UIs is to download (and buy) Balsamic[0] and use that to design UIs. Cut through the nonsense of colours and pixels in the first instance and just lay things out logically and simply. [0] https://balsamiq.com. - Source: Hacker News / 7 months ago
Create a low-fidelity mockup or wireframe of your MVP using tools like Balsamiq, Sketch, or Figma. Or use an easier-to-use tool like Uizard, which also has text-to-design capabilities. Source: 11 months ago
Just for drawing mock app screens, I have found Balsamiq[0] to be pretty good (you can do a bunch of stuff with the trial version itself). Not affiliated with them in any way. [0]: https://balsamiq.com/. - Source: Hacker News / about 1 year ago
Balsamiq has been pretty good for me so far. It's super bare-bones so it's better for copy mockups than actual UX design. It's also a lot easier than Figma. Note that you don't have to use the default comic sans, but I do because it's funny. Source: over 1 year ago
It is doable. However the main focus of MLFlow is in experiment tracking. I would suggest for you to look into another monitoring tools such evidentlyai . You can track more things than performance (e.g.data drift). Which may be helpful in a production setting. Source: almost 2 years ago
Evidently is an open-source Python library that analyzes and monitors machine learning models. It generates interactive reports based on Panda DataFrames and CSV files for troubleshooting models and checking data integrity. These reports show model health, data drift, target drift, data integrity, feature analysis, and performance by segment. - Source: dev.to / over 2 years ago
Invision - Prototyping and collaboration for design teams
ML Showcase - A curated collection of machine learning projects
Moqups - The most stunning HTML5 app for creating resolution-independent SVG mockups, wireframes & interactive prototypes for your next project
Censius.ai - Building the future of MLOps
Zeplin - Collaboration app for UI designers & frontend developers
ML5.js - Friendly machine learning for the web