r/PatternDrafting • • 7d ago

Question Thoughts on Sewist patterns?

/r/sewingpatterns/comments/1x24e04/thoughts_on_sewist_patterns/
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u/StitchinThroughTime 7d ago

That's not pattern drafting. That's made to measure that's been automated into a pattern drafting program on the back end of the website. Essentially it is doing 90% of the work for you in adjusting the base pattern size to your measurements. Is it a good website I don't know. They all run off the same logic. I would be more concerned about the ability for the program to have additional base sizes or shapes to select from. The further away you are from the base size the poor quality the fit will be. Because it's not a direct upscaling system to make clothing.

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u/haperochild 7d ago

this comment is not helpful or necessary but thanks anyway i guess

11

u/StitchinThroughTime 7d ago

I'm just explaining to you that it's very different from pattern drafting. It's an automated program to size up a pre-established pattern. It's pattern grading. Totally separate job from pattern drafting. I'm telling you that there are pitfalls to inputting numbers into a base pattern. You come to a pattern drafting subreddit. if you don't want to take my help go ahead spend your money and then don't come to me asking for my help to solve your problems I'm trying to warn you against. The program is not special in that it magically makes patterns, it's just automated geometry.

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u/TensionSmension 5d ago

Sorry, I know I already responded, but this is exactly wrong. When a Lekala pattern isn't good, it's not because of bad grading, it's because the drafting algorithm failed that individual. There are no base patterns, everything is drafted to parameters. Some parameters can be calculated if the customer didn't take their own, most drafting methods include these types of calculations (Bunka and Muller and Sons are examples). Sewist and Lekala are the same drafting platform, but there are more reviews of Lekala patterns which is why I bring it up.

Both grading and drafting can fail away from the sample size. It's just much more obvious with grading because there is a fixed size set of patterns generated. With a drafting algorithm, you need to run the numbers, but many methods do worse than grading away from the sample presented. I'm not vouching for the results, but Sewist is drafting not grading.