Tetra – A full stack component framework for Django using Alpine.js

Hacker News

Hi HN, I have been working on Tetra for the last few months and feel it’s now time to put it out there and get some feedback. Please take a look. There are a few fully functional examples on the homepage: https://www.tetraframework.com Tetra is a full stack component framework for Django built on top of Alpine.js. It is heavily inspired by frameworks such as Laravel Livewire and Phoenix Liveview, enabling you to create server rendered components that respond to user interactions reactively. However, it builds on the concept by allowing you to build “hybrid” components that also have full JavaScript capabilities using Alpine.js. It also builds on the trend of bringing the different parts of a component (Python, HTML, CSS, JavaScript) into closer proximity, by keeping all related parts in the same file. It uses esbuild to bundle your JavaScript and CSS, whilst also creating source maps, making it possible to trace errors back to the original Python source files. In terms of future plans, I’m aiming for a v1 release this summer - there is still quite a long to-do list! I have been working on this in my spare time so far, but hope to find the opportunity to work on it full time. I think there is a gap in the current Python framework ecosystem, and I believe, that what I have designed in Tetra plugs that gap. I hope to build this into a significant contribution to the community. Finally, the docs are here: https://www.tetraframework.com/docs/

Visit product View on Hacker NewsMay 24, 2022

Share card

Actual performance

11points

Made the leaderboard

Launch Intel predictions

Analyze your own launch →

Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting

88%88% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

Product HuntOn track for Day 1 leaderboard · Strong signals: user, using · Missing: mac, agents, macos

81%81% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Strong signals: io · Missing: https docs, excited, just released

70%70% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive

37%37% predicted probability of success on AppSumo, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Strong signals: month · Missing: mobile apps, ios, personal

37%37% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Strong signals: active · Missing: arr, mrr, revenue

14%14% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

Similar products

FatStack.js – A stack implementation using Bignums49%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

FatStack.js – A stack implementation using Bignums

Hacker News2

Vue-Octicon (Octicon component for Vue.js)51%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Vue-Octicon (Octicon component for Vue.js)

Hacker News1

Vue-ECharts – ECharts component for Vue.js51%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Vue-ECharts – ECharts component for Vue.js

Hacker News3

MithChosen, a basic select dropdown for mithril js framework48%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

MithChosen, a basic select dropdown for mithril js framework

Hacker News1

Pipoca.js, a Fullstack WebApp Framework53%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Pipoca.js, a Fullstack WebApp Framework

Hacker News3

Cample.js – Framework Without VDOM58%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Cample.js – Framework Without VDOM

Hacker News5

I made a web game using emojis and no JS framework51%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

I made a web game using emojis and no JS framework

Hacker News188

6/7 GUIs in Bang Web Component Framework56%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

6/7 GUIs in Bang Web Component Framework

Hacker News1

A web component framework with templating50%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

A web component framework with templating

Hacker News1

Coast on Clojure: A full stack framework with a catchy name63%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Coast on Clojure: A full stack framework with a catchy name

Hacker News8

Browse all products Analyze your launch