Well, if you aren't a developer you're not going install a PDF editor by going to GitHub, especially if having a desktop app means downloading the code yourself. Also, all of these you listed were created within the last 6 months, which is after when BreezePDF was initially created anyways. Lots of options out there, everyone can choose however they see fit!
These aren't real arguments for/against your project. The body is also AI generated. I do not see a reason why I would want to try out your version, seeing as you don't care about writing a welcoming body.
TLDR: As long as you aren't using Copilot, your code should be safe (according to GitHub).
What data are you collecting?
When an individual user has this setting enabled, the interaction data we may collect includes:
- Outputs accepted or modified by the user
- Inputs sent to GitHub Copilot, including code snippets shown to the model
- Code context surrounding the user’s cursor position
- Comment and documentation that the user wrote
- File names, repository structure, and navigation patterns
- Interactions with Copilot features including Chat and inline suggestions
> Jq is a powerful tool, but its imperative filter syntax can be verbose for common path-matching tasks. jsongrep is declarative: you describe the shape of the paths you want, and the engine finds them.
IMO, this isn't a common use case. The comparison here is essentially like Java vs Python. Jq is perfectly fine for quick peeking. If you actually need better performance, there are always faster ways to parse JSON than using a CLI.
The author states that the code was written by Opus, and afaik AI-written code is not considered copyrightable. Without copyright on the code, there should not be something prohibiting you from running it or even redistributing it. Of course this may come down to the extent of human contribution.
fwiw, the opposite view was recently taken for node js. GH hides most of the conversation by default due to size, but the gist is that a new VFS feature is being proposed for node that was largely written using an LLM. I think I've more often seen the view these days that if you used, steered, and likely modified code generated by an AI, you generated the code and hold the copyright.
...you can't redistribute code without a license, but surely you can legally run it, can't you?
Like, if I write a blog post and put it on my blog, you're allowed to read it, right?
Heck, if my blog contains some Javascript code I wrote, I would imagine your web browser is allowed to run that code without opening you up to copyright infringement, even if I didn't provide an explicit license.
For what it's worth, there is an official, daily updated public dataset of all posts and comments. Therefore, the data clearly isn't something they consider a trade secret.
- BentoPDF (12.3k stars): https://github.com/alam00000/bentopdf
- PDFCraft (3.6k stars): https://github.com/PDFCraftTool/pdfcraft
- PDFLince (31 stars): https://github.com/GSiesto/pdflince
Since this project likely uses the same stack, I’m not sure what the selling point of a more limiting product is.
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