clace VS nocodb

An approach like https://github.com/benbjohnson/hashfs allows file names to be updated at runtime to be content hashed. This removes the need for the extra "304 Not Modified" API calls from the client. This content hash based file renaming is usually done using a build step which renames files. For applications where the static file serving and HTTP request processing are done in the same application, this can be done in memory without a build step for file renames.

I am using that approach in my project https://github.com/claceio/clace. It removes the need for a build step while making aggressive static file caching possible.

I am building https://github.com/claceio/clace. It is focussed on building operational web apps, with a focus on security. The end goal is to build something between https://www.rundeck.com/ and https://retool.com/, allow automation of operational tasks through a web interface while also allowing fully custom web apps.

Clace also works great for running simple web apps locally. Building and deploying a web app should be as easy and common for backend engineers as creating a CLI app is.

Hypermedia based web applications are a great fit for developing internal and operational tools. I have been building https://github.com/claceio/clace for making development and deployment easier for such web apps.

I have been building a project https://github.com/claceio/clace which aims to make building hypermedia based web applications easier. Clace is implemented in go, it uses Starlark (python syntax subset) for application configuration. With Clace, the apps are implemented using Starlark and (go) html templates, HTMX is used for web interface, app developer does not need to write any JavaScript.

Starlark in go https://github.com/google/starlark-go is a great way to combine the best of both, the ease of use of Python and the simplicity of go.

I have been building a platform for deploying internal web applications using this approach https://github.com/claceio/clace. Use Starlark to configure the application, the platform itself is built in go.

I have used this approach for internal tools and it has been great. It makes it much easier for one person to build the whole app, frontend and backend, and makes ongoing maintenance much easier.

I am working on https://github.com/claceio/clace which takes this no build approach and makes it easy to build portable applications, using Starlark running in go to configure the backend.

It is great to see the number of good opensource projects in this area. Grist and NocoDB deserve mentions, although more targeted towards database management. It is also amazing that they provide so simple ways to get started (single file/electron)

- https://github.com/gristlabs

- https://nocodb.com/

Have you seen https://github.com/nocodb/nocodb? I'm not sure it supports concurrent editing, but seems like it might.

Baserow is cool. We evaluated it within our company a few months ago and eventually settled for Nocodb (https://nocodb.com/) - easy to run, more mature.

Leaptable is another Open Source framework like Airtable I saw recently with support for AI Agents. https://github.com/peterwnjenga/leaptable

That looks interesting!

I currently use NocoDB with a MariaDB database, so I can't easily switch over as Undb doesn't support MySQL as I see. But it has the feature I'm missing in NocoDB: a Calendar View which funnily NocoDB promoted on their website but doesn't have [1]. I guess I'll give it a try!

[1] https://github.com/nocodb/nocodb/discussions/832