clp VS formkiq-core

I used luajit to write an alternative to bat because it was annoyingly slow for large files. It ended up being like 15 times faster. Such a cool language!

There’s a related project that’s really cool called scintillua that lets you use lpeg lexers for scintilla. It supports over 120 languages and it’s super easy to add new ones.

https://github.com/orbitalquark/scintillua

You can also use it as a standalone lua library. I packaged it up to make a faster (but much less feature full) alternative to bat.

https://github.com/jpe90/clp

a fast alternative to bat for syntax highlighting in the command line (eg for fzf preview window)

https://github.com/jpe90/clp

It's super fast and has some really interesting libraries. I used parsing expression grammars to write a faster alternative to bat.

I recently made a project that uses a lua library to lex source files, then writes them out to stdout with syntax highlighting. Long story short at this point in my code I have a big indexed table of token names and positions. I just iterate over the token names and io.write an ANSI escape sequence that corresponds to the color type of token (simple table lookup), and then io.write the tokenized text.

I recently learned more Makefiles by using them for a recent project of mine. I wish I had seen this when I was working on it! I learned (stole) from the musl libc configure script and makefile instead.

Makefiles aren't as easy to work with as alternatives in other language ecosystems, but I found they let me do a lot without the need for extra dependencies.

Coincidentally the author of this blog post commented on one of my reddit posts and helped me work out a few kinks in the project.

https://github.com/jpe90/clp

Hello! I'm working on a small project that just highlights source files and writes them to stdout: https://github.com/jpe90/clp

We may want to get in touch with each other. We have an Open Core document management platform that runs in AWS; I'm not sure about your roadmap, but there may be something there that's of use: https://github.com/formkiq/formkiq-core

We are in the weird position of building something (a document management platform) that can be for SaaS bootstrappers (especially our free version), but our main marketing and sales efforts are for larger orgs, whether for SaaS or internal use.

We have a free offering, FormKiQ Core (https://github.com/formkiq/formkiq-core) that will also include this AI classification, so it's possible to use that as a foundation for creating a custom ECM system.

I think that makes sense to me (biased as I am). I wonder if Milvus (mentioned in another comment) can handle some of this, or if a dedicated EDMS is required. We have created an Open Core EDMS that could provide the document management functionality running using AWS: https://github.com/formkiq/formkiq-core

Our product is FormKiQ, and while our free version, FormKiQ Core, handles all of the standard functionality, we want to get our enterprise modules out there for startups that could use them.

If you are okay with hosting in your own cloud, you can try FormKiQ Core: https://github.com/formkiq/formkiq-core

I'm definitely curious as to what software is available in this space. Our company, FormKiQ, is wading into this AI processing of emails into matters right now, and I don't know that I've personally seen anything with the flexibility you need on the market. We may be too robust for what you need, but I'm always looking out to see if there is a simpler solution we can provide if enough people have the same problem.

If hosted in-house can be swapped out by an AWS account your organization owns and controls, you can try FormKiQ Core: https://github.com/formkiq/formkiq-core. It covers all of the expected standard functionality of a document management system, with an emphasis on flexibility and integration.

But if you decide to create such a system, you may want to evaluate if our Open Core document management platform might save you time on your MVP: https://github.com/formkiq/formkiq-core