Codename One VS rasa

codenameone.com — Open source, cross-platform, mobile app development toolchain for Java/Kotlin developers. Free for commercial use with an unlimited number of projects

This was resolved in this issue: https://github.com/codenameone/CodenameOne/issues/3706

Naturally depends on the use case, yet they work good enough to be in business for 20 years.

https://www.ptc.com/en/products/developer-tools/perc

https://www.aicas.com/wp/products-services/jamaicavm-tools/

https://www.codenameone.com/

Android 5 & 6 (only changed back into JIT/AOT due to long compile times), https://www.infoq.com/news/2014/07/art-runtime/

Unfortunely the best well known, Excelsior JET, is no longer in business, most likely due to GraalVM and OpenJ9 being available as free beer, while PTC, Aicas Codename One are safe in their domains.

There is also RoboVM (https://github.com/MobiVM/robovm) as free beer, however it actually started as a commercial product, and the acquisition from Xamarin kind of stagnated it (naturally).

At Codename One, we were using App Engine when our daily billing suddenly skyrocketed from a few dollars to hundreds. The potential cost was so high it threatened to bankrupt us within a month. Despite our best efforts, including educated guesses and fixing everything we could, we were never able to pinpoint the specific bug. Instead, we had to solve the problem through brute force.

We don't use GraalVM since our project was developed prior to its existence and we aimed for deeper native integration than it can offer: https://github.com/codenameone/CodenameOne

XMLVM, Codename One and iSpectrum (cross compile Java code from an Android app or creating one from scratch

I suggest filing an RFE in the issue tracker.

Thanks. It's always good to get another reminder. Yes, it was reported. u/shannah78 is working on this but we have time until November.

please check this issue https://github.com/codenameone/CodenameOne/issues/3686

We use ParparVM which we wrote. It compiles a subset of Java 8 (sort of) to native by translating the bytecode to C and passing that through XCode. The reason we took this path and not the path of "direct to native", is that it allows for future compatibility.

Support Rasa on GitHub ⭐

It itself is not a GPT. It is a a framework of a framework project built on top of Rasa (https://github.com/RasaHQ/rasa) and Langchain which by default uses gpt3.5-turbo (change it in the .env file) or any foundation model you wish.

There was already a GitHub issue https://github.com/RasaHQ/rasa/issues/11084 but it seems like there was no solution provided.

Rasa - also an open source platform. You can use it to build chatbots that are more in line with customer service and sales. Reading that, it’s kind of a big yikes for people under this kind of job knowing you can automate a part of their job via a chatbot. I think they also have a Pro version which is an extension that has additional analytics and probably more security features. I probably will check out the Open source one first and maybe ask about what the Pro version is.

At the moment it can recognise the type of statements in the training data set [1] and transpile them to Python, Java or C++ using the mappings defined here [2].

This is very different from how Codex/Autopilot work as it is trained using an NLU framework [3] which is usually used for training chatbots.

[1]: https://github.com/Flex-lang/transpiler/tree/master/transpil...

[2]: https://github.com/Flex-lang/transpiler/tree/master/transpil...

[3]: https://github.com/RasaHQ/rasa

Check out Rasa

It looks like it is built upon a Chatbot platform called “messengerx.io”, which itself seems to be built upon an open-source/machine-learning framework for voice/text conversations called “Rasa”

Use Python and use the Rasa framework to make a chat bot. https://rasa.com/docs/

This example is sourced from RasaHQ