It streams line by line so constant memory for filter/select/first/find operations. It won't load a 5GB file into RAM.
That said, operations that need to see everything (sort, group by, stats) do buffer in memory. For those on massive files, `first N` or `where` before the sort helps.
Honest answer: I haven't benchmarked against jq (and wouldn't call it a replacement) on multi-GB files yet. jq is C, jsont is Go. For pure filtering speed jq probably wins. The value is in the explore commands (schema, find, stats) that jq simply doesn't have. and the way agents can interact with this cli which should save you/them 10 minutes of guessing on a file you've never seen.
We’re excited to introduce Halloweenie, a fun and unique way to celebrate Halloween. Utilizing cutting-edge generative AI technology, Halloweenie can transform just 4 photos of you into high-quality, Halloween-themed portraits. Think of becoming a vampire, werewolf, and more in a matter of minutes!
Why We Built It
We've spent months fine-tuning our personalization pipelines and focusing on image quality and realism. With Halloween just around the corner, we wanted to showcase the current capabilities of our AI models and have a little fun at the same time.
What's Next?
We're already planning to expand the product with more themes and a few different offerings. But for now, we're excited to see how you all enjoy this Halloween treat.
Special Offer
As a launch special, we're offering Halloweenie for FREE. We’ve scaled our infrastructure to accommodate everyone, so don’t hesitate to share the joy with friends and family.
Feedback Wanted
We'd really appreciate your thoughts on the quality and realism of the portraits, as well as any feedback on the user experience. Your insights will help us improve and bring even better products to life.
We’re excited to introduce Halloweenie, a fun and unique way to celebrate Halloween. Utilizing cutting-edge generative AI technology, Halloweenie can transform just 4 photos of you into high-quality, Halloween-themed portraits. Think of becoming a vampire, werewolf, and more in a matter of minutes!
Why We Built It
We've spent months fine-tuning our personalization pipelines and focusing on image quality and realism. With Halloween just around the corner, we wanted to showcase the current capabilities of our AI models and have a little fun at the same time.
What's Next?
We're already planning to expand the product with more themes and a few different offerings. But for now, we're excited to see how you all enjoy this Halloween treat.
Special Offer
As a launch special, we're offering Halloweenie for FREE. We’ve scaled our infrastructure to accommodate everyone, so don’t hesitate to share the joy with friends and family.
Feedback Wanted
We'd really appreciate your thoughts on the quality and realism of the portraits, as well as any feedback on the user experience. Your insights will help us improve and bring even better products to life.
From the first day I started working on avtrs.ai I wanted to make it easier, cheaper, and better. It felt impossible at times but I was able to get better results than others, with less photos (only 4) and for free. So why wait, get them now :)
That said, operations that need to see everything (sort, group by, stats) do buffer in memory. For those on massive files, `first N` or `where` before the sort helps.
Honest answer: I haven't benchmarked against jq (and wouldn't call it a replacement) on multi-GB files yet. jq is C, jsont is Go. For pure filtering speed jq probably wins. The value is in the explore commands (schema, find, stats) that jq simply doesn't have. and the way agents can interact with this cli which should save you/them 10 minutes of guessing on a file you've never seen.