tetra
datasette
tetra | datasette | |
---|---|---|
17 | 187 | |
513 | 8,934 | |
- | - | |
0.0 | 9.3 | |
about 1 year ago | 6 days ago | |
Python | Python | |
MIT License | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
tetra
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Coming to grips with JS: a Rubyist's deep dive
Then there are stack-specific libraries: StimulusReflex for Rails, Phoenix LiveView, Laravel Livewire, Unicorn and Tetra for Django, Blazor for .NET, … and the list goes on.
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Unicorn – A full-stack web framework for Django
Unicorn is awesome, and I think most would agree that it's the Django communities answer to Livewire/Liveview/etc. Adam has built a brilliant project and the time he must dedicate to it is amazing!
Last year I had a month free and I had a go at building something for Django in this area, with a bunch of interesting ideas - built on Alpine.js, resumable server side component state, inline component templates. But sadly time is limited and I just can't spend the time needed to push it further. One day I may be able to pivot back to it: https://www.tetraframework.com/
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Django 4.2 Released
There's a brilliant project called Django Unicorn that aims to be the equivalent of Laravel Livewire for Django. You should take a look.
https://www.django-unicorn.com/
That and HTMX + Alpine.js are a strong combination.
(I also had a bash at building a similar tool for Django called Tetra but unfortunately haven't had the time needed to commit to it: https://www.tetraframework.com)
- Ideal tech stack for future: Springboot+angular/react, MERN, .net core + angular/react, django/flask ?
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Build a full-stack app with Tetra
Most full-stack applications separate frontend and backend code into distinct files; most web frameworks are built based on this structure. As the number of files and lines of code increases, it may increase the complexity of your codebase, thereby making it even more difficult to debug. The complexity caused by these separate files was minimized through the introduction of a framework called Tetra.
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An SPA Alternative
One of my apps built on the Django+HTMX stack got traction and no matter how much I loved using HTMX, I found it’s not feasible to keep a clean codebase (facilitating new developers on the team as well) with this stack.
[Tetra](https://www.tetraframework.com/) might be an alternative if you’re hell-bent on not using React.
But, if you want to ship quick, have a maintainable codebase in a technology a lot of devs are familiar with and have the power to instantly have an app for mobile (and buy yourself some time to build one in React Native; code is going to be similar to React.js), I’d recommend using React.
You can use Capacitor.js for instantly shipping a mobile app with your codebase that “just works”. Use Capgo for affordable codepush and you’re set!
But then again, HTMX all the way if you’re not building an app cause not everything is an “app”. At the same time, if you’re building an app with a framework unlike Phoenix, I don’t see why would not go ahead and use a decent JS framework. It seems to be getting a lot of hate and I don’t understand if it’s because of the inability to learn React or what.
- The next big python module: Which libraries are you missing?
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Is there a Turbo Links or Livewire alternative for Django?
tetra
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Golang Web Framework that works hand in hand with Alpine.js
Recently I found a web framework the sits on top of Django and is specifically designed to work with Alpine.js (tetraframework.com). What makes it stand out is that HTMX or Hotwire isn't needed, as Tetra takes care of it. (discussion on ycombinator)
- Tetra – Full stack reactive component framework for Django using Alpine.js
datasette
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Ask HN: High quality Python scripts or small libraries to learn from
Simon Willison's github would be a great place to get started imo -
https://github.com/simonw/datasette
- Show HN: TextQuery – Query and Visualize Your CSV Data in Minutes
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Little Data: How do we query personal data? (2013)
I'm a fan on simonw's datasette/dogsheep ecosystem https://datasette.io/
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LaTeX and Neovim for technical note-taking
I use Anki the exact same way. After a lifetime of learning I have accepted that I will never read over anything I write for myself voluntarily - so my two options are:
1. Write an article so good I can publish it and look it over myself later on. I did this last year with https://andrew-quinn.me/fzf/, for example.
2. Create Anki cards out of the material. Use the builtin Card Browser or even https://datasette.io/ on the underlying SQLite database in a pinch to search for my notes any time I have to.
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Daily Price Tracking for Trader Joes
Were you aware of, or tempted by https://datasette.io/ for creating your solution?
- SQLite-Web: Web-based SQLite database browser written in Python
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Ask HN: What two software products should have a kid?
Browsing HN, GitHub and the like we get to see a huge variety of software products and code bases.
I often see products and think - if this product X, got together with Y, it would be pretty cool - kind of like if they had a kid together.
Not too literally, but more on the conceptual level - my level of programming is low.
E.g. Just some....
- pocketable.io & datasette (+with some more charting) [https://pocketbase.io, https://datasette.io]
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Ask HN: Looking for a project to volunteer on? (February 2024)
You might like the Datasette project: https://datasette.io/
I don't think they are desperate for contributions but it's a welcoming environment and a fun project to hack on. You'll learn a lot just from reading the source and the incredibly informative PRs. The creator is a really talented developer with a great blog which shows up on the HN front page often.
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Stuff I Learned during Hanukkah of Data 2023
Last year I worked through the challenges using VisiData, Datasette, and Pandas. I walked through my thought process and solutions in a series of posts.
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What We Watched: A Netflix Engagement Report – About Netflix
> uploads of boring raw excel data and receive a nice UI
https://datasette.io/
What are some alternatives?
bud - The Full-Stack Web Framework for Go
nocodb - 🔥 🔥 🔥 Open Source Airtable Alternative
paperclips - Universal Paperclips mirror
duckdb - DuckDB is an in-process SQL OLAP Database Management System
meta - Meta discussions and unicorns. Not necessarily in that order.
sql.js-httpvfs - Hosting read-only SQLite databases on static file hosters like Github Pages
dotdrop - Save your dotfiles once, deploy them everywhere
litestream - Streaming replication for SQLite.
django-unicorn - The magical reactive component framework for Django ✨
Sequel-Ace - MySQL/MariaDB database management for macOS
cog - Micro Graph Database for Python Applications
beekeeper-studio - Modern and easy to use SQL client for MySQL, Postgres, SQLite, SQL Server, and more. Linux, MacOS, and Windows.