Design Principles
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Build Remarkable Analytics Experiences. No more 'Build vs. Buy'. Embeddable is the embedded analytics tool where you own the front-end code and we handle everything else. Now you can build fully-bespoke, fast-loading charts and dashboards in your app without the engineering costs. Delight your customers, reduce engineering overheads, and deliver your dream experience, fast. Compatible with all major databases. Cloud & Self-hosted. Multi-tenancy. Open source component library + more
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Embeddable's answer:
Software companies who care about the UX and loading speed of their customer-facing analytics.
Embeddable's answer:
Get the best of 'Build vs. Buy' in one stack-agnostic solution. Embeddable gives you full control over the frontend of your analytics experience, and handles the backend for you. No longer do you have to choose between a limited out-of-the-box solution, or building everything from scratch.
Embeddable's answer:
Embeddable is from the team behind Trevor.io -- a popular internal BI tool which also allows you to embed dashboards into your app. We realised embedding dashboards from a BI tool into your app wasn't the 'dream solution', and building analytics from scratch was super expensive... so we built Embeddable from the ground up to enable teams to deliver fully-bespoke, highly-performant analytics in their apps for their customers in 10% of the time.
Embeddable's answer:
Embeddable's answer:
If you want full control over the UX of your customer-facing analytics experience, but don't want to invest months of developer time on building and maintaining a fully-custom build -- OR -- if you're using an embedded analytics too already that loads slowly and doesn't look and feel like the rest of your platform.
Based on our record, Design Principles should be more popular than Embeddable. It has been mentiond 9 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.
Your comment is an interesting one, and I can see how itโs be helpful for some folks who are just setting out in their careers. I was asking not about style guides, but the nuanced differences between heuristics, such as NNgโs, and design principles for decision-making: https://principles.design/. Source: almost 4 years ago
Principle Design is a Free Resource to learn more about designing better user interfaces and logos for your business. Access 195+ Examples and 1445 principles to learn more about design. (no-signup). Source: almost 4 years ago
Http://styleguides.io/ and https://principles.design/ are worth keeping an eye on, especially for trends that come up and to see what the industry is up to. Source: almost 4 years ago
Https://principles.design/ (collection, guiding ethos). Source: almost 4 years ago
Https://paperform.co/blog/principles-of-design/ https://principles.design/ https://99designs.com/blog/tips/principles-of-design/. - Source: Hacker News / about 4 years ago
Then comes data modeling. BI tools such as Embeddable need to know how different tables and fields relate to each other. Someone has to define what terms like โtop customerโ or โQ3 revenueโ actually mean. Without this, the AI won't know where to look or how to answer even basic questions. - Source: dev.to / over 1 year ago
Itโs still pretty new but build by an experienced team. Itโs commercial software though. https://embeddable.com/. - Source: Hacker News / over 2 years ago
Atlassian Design - Design, develop, and deliver
Luzmo - From data to decisions, damn fast. Embed beautiful, easy-to-use dashboards in your SaaS product in days, not months.
Facebook Design - Resources for Designers from the Facebook Design team
Metabase - Metabase is the easy, open source way for everyone in your company to ask questions and learn from...
Checklist Design - The best UI and UX practices for production ready design.
Looker - Looker makes it easy for analysts to create and curate custom data experiencesโso everyone in the business can explore the data that matters to them, in the context that makes it truly meaningful.