lightdash
Tailwind CSS
lightdash | Tailwind CSS | |
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13 | 1,281 | |
3,399 | 78,370 | |
1.7% | 1.0% | |
10.0 | 9.4 | |
6 days ago | 7 days ago | |
TypeScript | TypeScript | |
MIT License | MIT License |
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lightdash
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Apache Superset
> YAML, pivoting being done in the frontend, no symmetric aggregates
(one of the maintainers of Lightdash) You touched on some of our most interesting problems here! Would be especially interested to hear about what you liked / didn't like about symmetric aggregates in Looker and how you find dev with YAML. If you have an idea of how you'd like these to look in Lightdash, the team would be really open to making that a reality.
For pivoting in the backend, this is coming! Issue here: https://github.com/lightdash/lightdash/issues/2907
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What are the 5 hottest dbt Repositories one should star on GitHub 2022?
What are the 5 hottest dbt Repositories one should star on Github 2022?
dbt is a software framework that sits in the middle of the ELT process. It represents the transformative layer after loading data from an original source. Dbt combines SQL with software engineering principles.
Here are my top5!
- Lightdash (https://github.com/lightdash/lightdash): Lightdash converts dbt models and makes it possible to define and easily visualize additional metrics via a visual interface.
- ⏎ re_data (https://github.com/re-data/re-data): Re-Data is an abstraction layer that helps users monitor dbt projects and their underlying data. For example, you get alerts when a test failed or a data anomaly occurs in a dbt project.
- evidence (https://github.com/evidence-dev/evidence): Evidence is another tool for lightweight BI reporting. With Evidence, you can build simple reports in "medium style" using SQL queries and Markdown.
- Kuwala (https://github.com/kuwala-io/kuwala): With Kuwala, a BI analyst can intuitively build advanced data workflows using a drag-drop interface on top of the modern data stack without coding. Behind the Scenes, the dbt models are generated so that a more experienced engineer can customize the pipelines at any time.
- fal ai (https://github.com/fal-ai/fal): Fal helps to run Python scripts directly from the dbt project. For example, you can load dbt models directly into the Python context which helps to apply Data Science libraries like SKlearn and Prophet in the dbt models.
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What are the hottest dbt Repositories you should star on Github 2022? - Here are mine.
Lightdash ( https://github.com/lightdash/lightdash ) Lightdash converts dbt models and makes it possible to define and easily visualize additional metrics via a visual interface. The front end helps to understand and extend the underlying SQL queries. Lightdash also visualizes business metrics and makes them shareable with the data team. It is also possible to integrate all data into another visualization tool.
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What are your hottest dbt repositories in 2022 so far? Here are mine!
- ⚡️ Lightdash: Lightdash converts dbt models and makes it possible to define and easily visualize additional metrics via a visual interface.
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Data pipeline suggestions
Visualization / Analysis: Lightdash, Superset
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Where can I find free data engineering ( big data) projects online?
Ingestion / ETL: Airbyte, Singer, Jitsu Transformation: dbt Orchestration: Airflow, Dagster Testing: GreatExpectations Observability: Monosi Reverse ETL: Grouparoo, Castled Visualization: Lightdash, Superset
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Launch HN: Metaplane (YC W20) – Datadog for Data
1) An integration with Metabase Cloud is on our roadmap for Q1! We'd love to integrate with Lightdash, but they don't have a public API just yet[1].
2) Several of our customers use us to alert on schema changes in Postgres, specifically so they can get ahead of application database changes that will end up in the warehouse, so you're definitely not alone! Here's a link on how to connect postgres: https://docs.metaplane.dev/docs/postgres
That's an excellent stack and one we kept front and center when building out Metaplane, so definitely let us know if you have any feedback or suggestions here!
[1]: https://github.com/lightdash/lightdash/issues/632
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what's your experience with Looker ?
I would recommend lightdash which is essentially an open source Looker clone https://github.com/lightdash/lightdash
- a full semantic model based on dbt, dimensions, joins and metrics
- An open source alternative to Looker built using dbt. Made for analysts
Tailwind CSS
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How to Build Your Own ChatGPT Clone Using React & AWS Bedrock
Finally, for our front end, we’re going to be pairing Next.js with the great combination of TailwindCSS and shadcn/ui so we can focus on building the functionality of the app and let them handle making it look awesome!
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Building an Email Assistant Application with Burr
You can use any frontend framework you want — react-based tooling, however, has a natural advantage as it models everything as a function of state, which can map 1:1 with the concept in Burr. In the demo app we use react, react-query, and tailwind, but we’ll be skipping over this largely (it is not central to the purpose of the post).
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Shared Data-Layer Setup For Micro Frontend Application with Nx Workspace
Tailwind CSS: A utility-first CSS framework for rapidly building custom designs.
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Preline UI + Gowebly CLI = ❤️
First, you need to make sure that you have a working Tailwind CSS project…
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Customer service pages for e-commerce built with Tailwind CSS
Tailwind CSS
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The best testing strategies for frontends
With better CSS approaches like TailwindCSS and Vanilla Extract (which we're heavily using) it's much easier to maintain the UI and make sure it doesn't change unexpectedly. No more conflicting CSS classes, much less CSS specificity issues and much less CSS code in general.
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ChatCrafters - Chat with AI powered personas
This app was built with Svelte Kit, Tailwind CSS, and many other technologies. For a full rundown, please visit the GitHub repository
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Mojo CSS vs. Tailwind: Choosing the best CSS framework
Unlike Tailwind, which has over 77,000 stars on GitHub, Mojo CSS has about 200 stars on GitHub. But the Mojo CSS documentation is fairly good and you can find most of the information you’ll need there.
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Collab Lab #66 Recap
JavaScript React Flowbite Tailwind Firebase - Auth, Database, and Hosting Vite
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Show HN: Brutalisthackernews.com – A HN reader inspired by brutalist web design
- Performance is a feature.
Another common interpretation of brutalism is aesthetic, reacting to overly complicated user interfaces by creating simpler, more direct ones. Tailwind CSS (https://tailwindcss.com), one of today's most popular CSS libraries, promotes this approach in its component examples. There's also a neat library I've seen recently called "Neobrutalism Components" for React that I like (https://neobrutalism-components.vercel.app), providing components with a similar look and feel to Gumroad. This might more accurately be called 'Neo-Brutalism,' as noted in the comments.
A more engineering-centric interpretation of Brutalism focuses on form, structure, and efficiency, drawing significantly from brutalist architecture principles. Apart from the user interface itself, most mobile, desktop, and web applications are extremely bloated and often perform worse than sites from 10 years ago did. While one HTML file might be "less brutalist" than the original HN site, it is substantially more brutalist than any HN mobile app in existence, and offers nearly identical functionality.
A broader interpretation of brutalism, which could be termed 'Meta-Brutalism,' is embodied in the overall experience on this site through UX flows. Yes, in the strictest sense, the original HN site is more Brutalist in many ways, but it only shows 30 articles at a time and does not function as a PWA. For this site, the experience of reading 10 stories is arguably less brutalist, but for quickly browsing through several pages and skimming articles (which is how I read HN) it is a lot faster, and in my opinion, more Brutalist.
My primary inspiration was addressing software and tool bloat in UIs rather than strictly adhering to every principle set forth by David Bryant Copeland. I don't find it convincing that this site "isn't brutalist" compared to really any other experience apart from the Main HN site, and I would argue the overall experience is more brutalist in its performance and scrolling behavior.
As a side note: I generally don't like Brutalist architecture that much although I believe it is unfairly maligned. I visited the Salk Institute once and enjoyed it though (https://www.archdaily.com/61288/ad-classics-salk-institute-l...).
What are some alternatives?
Metabase - The simplest, fastest way to get business intelligence and analytics to everyone in your company :yum:
flowbite - Open-source UI component library and front-end development framework based on Tailwind CSS
superset - Apache Superset is a Data Visualization and Data Exploration Platform
antd - An enterprise-class UI design language and React UI library
Rakam - 📈 Collect customer event data from your apps. (Note that this project only includes the API collector, not the visualization platform)
unocss - The instant on-demand atomic CSS engine.
trino_data_mesh - Proof of concept on how to gain insights with Trino across different databases from a distributed data mesh
windicss - Next generation utility-first CSS framework.
elementary - The dbt-native data observability solution for data & analytics engineers. Monitor your data pipelines in minutes. Available as self-hosted or cloud service with premium features.
emotion - 👩🎤 CSS-in-JS library designed for high performance style composition
streamlit - Streamlit — A faster way to build and share data apps.
Material UI - Ready-to-use foundational React components, free forever. It includes Material UI, which implements Google's Material Design.