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Releases: activeloopai/deeplake

v3.9.31 🌈

25 Nov 20:49
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@activesoull and @nvoxland-al

v3.9.30 🌈

21 Nov 16:50
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@activesoull and @nvoxland-al

v4.0.3

17 Nov 22:25
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  • Fixed issue with non-contiguous numpy array #2988
  • Fixed issue with deeplake.copy on azure storage
  • Stability improvements on vector search
  • Added deeplake.push and deeplake.pull to synchronize dataset copies

v3.9.29 🌈

16 Nov 21:10
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@activesoull

v4.0.2

11 Nov 16:07
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  • deeplake.copy to copy dataset from source to destination @nvoxland-al
  • Fixed jpeg conversion issue with invalid shape @tyesayan
  • Fixed deeplake.convert issues for text, json and scalar columns @khustup2

v3.9.28 🌈

07 Nov 17:05
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@activesoull and @nvoxland-al

v4.0.1 🌈

06 Nov 18:48
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  • Up to 5x improvement on dataset open time for large datasets
  • Ability to interrupt long running query with Ctrl-C
  • Added support for tag checkout in TQL FROM
  • Reduced binary size by ~2Mb
  • Fixed clustered index search on small data
  • Fixed deeplake.convert bug with text columns

v3.9.27 🌈

28 Oct 19:37
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@activesoull

v4.0.0 🌈

23 Oct 16:51
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🧭 What's Changed

Major release of Deep Lake

  • Eventual Consistency: Enabling concurrent workloads. Read more here.
  • Faster Installation: 5x faster setup by removing all dependencies except NumPy.
  • Enhanced Performance: Up to 10x faster reads/writes due to migrating low-level code to C++.
  • Cross cloud queries with JOIN operations and User-Defined Functions
    Simplified API with unified documentation, better data typing, and async support.
  • Switched to Apache 2.0 license

As a major release, the 4.0 API is not compatible with 3.x. Full documentation is available at docs.deeplake.ai including a v3 to v4 conversion guide.

Note: Open source code for 4.0 will be fully moved into this repo in the coming weeks

Bugfixes on 3.x should be made against the v3 branch

v3.9.26 🌈

09 Oct 19:46
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@activesoull