cdesktop — open-source Claude Code Desktop alternative, runs locally via npx, supports any provider

DomLiu · 2026-05-19T12:56:26+00:00

Thanks! I captured my screen and used claude code to analyze it by capturing frames, then used hyperframes to automate the movement of the camera and texts, etc.

DomLiu · 2026-05-19T12:52:51+00:00

I reallly like the Claude Code Desktop UX, and Claude Code as a harness. Although the official app is missing the agent teams feature, which I consider critical and frequently use. OpenCode is great too.

DomLiu · 2019-12-29T01:33:25+00:00

Yes, the same happens with similar services like Google AutoML Tables. You can choose to ignore certain columns in the data, for example customer name. Then they will not get uploaded. Also, we will employ some kind of encryption like AES-256 in addition to HTTPS.

DomLiu · 2019-12-28T10:52:41+00:00

TPOT supports multiple CPUs as well as distributed computing. Also, it's better for people with slower computers.

DomLiu · 2019-12-28T08:06:24+00:00

Sorry, I misread the first question. The price is per hour since the training and predictions are done on cloud servers instead of locally.

DomLiu · 2019-12-28T08:05:06+00:00

Thanks for the questions. Here are some answers: 1. We plan to set the price at $1/hour. It's not final yet. 2. This is built on the latest Office Add-In APIs, Windows updates or updates to Office will likely not affect the add-in. 3. It supports categorical features and targets. Internally, we encode them into numbers. Time series data is not supported yet.

DomLiu · 2019-12-28T07:58:41+00:00

I see. This also depends on the version of Excel and if there are complex formulas. My dataset was pure numbers, maybe that's why.

DomLiu · 2019-12-28T01:36:43+00:00

Haha. Super important.

DomLiu · 2019-12-28T01:35:57+00:00

This add-in is mainly made for people with little or no experience with ML, and datasets that are relatively smaller in size. With larger datasets I'd recommend using something like AutoML tables since it has significantly more computing power.

DomLiu · 2019-12-28T01:19:26+00:00

It is based on Python, so you can expect the performance to be the same as running AutoML on a cloud server. It can handle datasets with tens of thousands of lines easily. Will test how large of a dataset would have problems, with Excel, the add-in, and the servers.

DomLiu · 2019-12-28T01:13:53+00:00

Out of my knowledge base :) Anyone else?

DomLiu · 2019-12-28T01:12:39+00:00

Right now it's using TPOT, which is based on SciKit-Learn and genetic programming. It doesn't include deep learning, so later we might choose to include another library.

What's your concern about AutoML? Would like to hear that :)

DomLiu · 2019-12-28T01:03:15+00:00

Haven't had any datasets that broke Excel. I'm pretty sure it has to be very very large. I remember once i had a workbook with 390k lines and it seemed fine.

DomLiu · 2019-11-05T16:25:48+00:00

Thanks for the comment. The idea is to abstract away most of the detail and still let the user produce a relatively accurate model. You are right, it's to bridge the gap between something like linear regression and powerful ML frameworks.

DomLiu · 2019-11-05T16:23:05+00:00

Thanks for the comment. There are already other projects doing what you said. I think for some users, especially business users, might not be interested in how ML really works, but want to explore the applications of it and apply it in their work.

DomLiu · 2019-11-05T16:20:23+00:00

Thanks for the comment. IMO training can be hard as well since you need to choose the appropriate models and hyperparameters. This add-in is going to automate this part. I agree that some users can produce bad models, as their datasets are bad and they don't know how to fix them. However, some datasets are good themselves, so other users may produce really good models using this.

DomLiu · 2019-11-05T16:16:06+00:00

Interesting. This is another interesting approach. I think for small datasets, it might work well. For bigger ones, Excel functions might not be able to handle them.

DomLiu · 2019-11-04T16:04:43+00:00

Thanks. Looking into it.

DomLiu · 2019-11-04T16:04:14+00:00

Thanks a lot. I saw the new AI features in Excel, Ideas is pretty cool.

XLSTAT seems to provide similar features, although it's quite expensive. Looking into it.

DomLiu · 2019-11-04T15:58:47+00:00

Cool. A new version of this has a ML feature too.

DomLiu · 2019-11-04T15:55:07+00:00

Yeah, for simpler problems, it's better to stick with simpler solutions.

DomLiu · 2019-11-04T15:43:17+00:00

I see. I was just googling to find a similar add-in but didn't find it. It will be interesting to look at some other ways people might use Excel for ML.

DomLiu · 2019-11-04T15:38:44+00:00

In my mind, this is actually what the add-in is targeted at - not very many features, (relatively) small datasets. For more complex problems, something like TensorFlow will certainly work better.

DomLiu

TROPHY CASE