My apologies, missed the reference further below since you mentioned you
did not find any libraries in your intro text.

On Thu, May 3, 2018 at 9:11 AM, <hy...@juji-inc.com> wrote:

> My readme specifically mentioned https://github.com/friemen/diffit, where
> I said:
>
> >...The same sequence diffing algorithm is also implemented in diffit
> <https://github.com/friemen/diffit>. Using their benchmark, our
> implementation has slightly better performance due to more optimizations.
> Keep in mind that our algorithm also handles nested Clojure data
> structures. ...
>
> That is to say, diffit only does map and vector diffing *separately*, so
> you cannot really use it as a *Clojure data structure* diffing library.
> Hope this helps.
>
> Cheers.
>
> -huahai
>
>
>
> On Thursday, May 3, 2018 at 2:59:07 AM UTC-7, alpeware wrote:
>>
>> Thanks for sharing!
>>
>> Last time I was looking for something similar, I came across this library
>> -
>>
>> https://github.com/friemen/diffit
>>
>> It works for both Clojure and ClojureScript, although it's specific for
>> either maps or vectors.
>>
>> I haven't looked at the specific implementations of either library and
>> only used it on small data sets, so can't comment on suitability for your
>> use cases.
>>
>> I thought I'll share since your readme mentioned you didn't find any
>> prior implementations and for anyone looking at this thread in the future.
>>
>> -Alpeware
>>
>> On Thu, May 3, 2018, 12:34 AM Colin Fleming <colin.ma...@gmail.com>
>> wrote:
>>
>>> This looks very nice, thank you!
>>>
>>> On 1 May 2018 at 06:52, <hy...@juji-inc.com> wrote:
>>>
>>>> Hello,
>>>>
>>>> I am happy to make available a diffing/patching library for Clojure
>>>> data structures.
>>>>
>>>> https://github.com/juji-io/editscript
>>>>
>>>> Two flavors of diffing algorithms are provided, with very different
>>>> performance characteristics, suitable for different applications.
>>>>
>>>> * One optimizing diffing algorithm aimed to reduce the size of diffs.
>>>> It is an A* based graph search algorithm that is optimized for speed,
>>>> though much slower than the next one, it is still practical.
>>>> * Another is a straightforward tree walking algorithm that is about two
>>>> orders of magnitude faster, but produce suboptimal results.
>>>>
>>>> Hope this library will be of some use for someone. Comments,
>>>> suggestions and contributions are also welcome.
>>>>
>>>> -huahai
>>>>
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