deeplake 3.9.26

Activeloop Deep Lake

06-28-2023 257 words 2 minutes 0 views

Contents

Deep Lake is a Database for AI powered by a unique storage format optimized for deep-learning and Large Language Model (LLM) based applications. It simplifies the deployment of enterprise-grade LLM-based products by offering storage for all data types (embeddings, audio, text, videos, images, pdfs, annotations, etc.), querying and vector search, data streaming while training models at scale, data versioning and lineage for all workloads, and integrations with popular tools such as LangChain, LlamaIndex, Weights & Biases, and many more.

8094 Stars :star:

Stars: 8094, Watchers: 8094, Forks: 622, Open Issues: 60

The activeloopai/deeplake repo was created 5 years ago and the last code push was 3 days ago.
The project is extremely popular with a mindblowing 8094 github stars!

How to Install deeplake

You can install deeplake using pip

pip install deeplake

or add it to a project with poetry

poetry add deeplake

Package Details

Author: activeloop.ai
License: MPL-2.0
Homepage: None
PyPi:: https://pypi.org/project/deeplake/
Documentation:: https://docs.activeloop.ai/
GitHub Repo:: https://github.com/activeloopai/deeplake

Classifiers

No deeplake pypi packages just yet.

Errors

A list of common deeplake errors.

Code Examples

Here are some deeplake code examples and snippets.

GitHub Issues

The deeplake package has 60 open issues on GitHub

Data fix
[Tiny] Removed reporting when importing deeplake
[BUG] Possibly unsafe conversion of DatasetDiff instance to bytes
Better metadata search
[BUG] Issue with ImageNet training set.
[BUG] poetry add deeplake hangs - pip works fine
Create SECURITY.md
skip visualizer for python3.11
[AL-2272] Concurrent writes
Indexing deeplake
Added support for audio/video support in hub.ingest
[FEATURE] Redis storage provider

See more issues on GitHub

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