Re: Usage in commercial software
Benjamin Silbaugh <[email protected]>
| Newsgroups | gmane.comp.lang.ml.mlton.user |
|---|---|
| Message-ID | <[email protected]> |
It looks like you're basically correct: LGPL licensed software can be distributed with a commercial (or otherwise) product, provided that the conditions outlined in the LGPL license are satisfied. The details of the LGPL are available here: https://www.gnu.org/licenses/lgpl.html. Sorry for any confusion I may have caused. As I read it, it looks like the LGPL does require that there be a way for the end user to both modify and relink GnuMP to the combined (proprietary) work. Depending on how the proprietary/commercial product needs to be distributed (e.g. statically vs dynamically linked application), the relinking requirement might be an issue? Feel free to correct me if I'm wrong. On 06/11/2014 11:45 AM, Henry Cejtin wrote: > As they say, I am not a lawyer, but my understanding of LGPL means you > can certainly distribute things under that > with a commercial product. You simply must make the source to the > LGPL part (the gmp library in this case) > `available', and you must include something that indicates that fact > in the documentation. > > To unsubscribe from this group and stop receiving emails from it, send an email to [email protected]. > > ------------------------------------------------------------------------------ > HPCC Systems Open Source Big Data Platform from LexisNexis Risk Solutions > Find What Matters Most in Your Big Data with HPCC Systems > Open Source. Fast. Scalable. Simple. Ideal for Dirty Data. > Leverages Graph Analysis for Fast Processing & Easy Data Exploration > http://p.sf.net/sfu/hpccsystems > _______________________________________________ > MLton-user mailing list > [email protected]; [email protected] > https://lists.sourceforge.net/lists/listinfo/mlton-user To unsubscribe from this group and stop receiving emails from it, send an email to [email protected]. ------------------------------------------------------------------------------ HPCC Systems Open Source Big Data Platform from LexisNexis Risk Solutions Find What Matters Most in Your Big Data with HPCC Systems Open Source. Fast. Scalable. Simple. Ideal for Dirty Data. Leverages Graph Analysis for Fast Processing & Easy Data Exploration http://p.sf.net/sfu/hpccsystems