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docarray

DocArray is a library for nested, unstructured data such as text, image, audio, video, 3D mesh. It allows deep learning engineers to efficiently process, embed, search, recommend, store, transfer the data with Pythonic API. 🌌 **All data types**: super-expressive data structure for representing complicated/mixed/nested text, image, video, audio, 3D mesh data. 🐍 **Pythonic experience**: designed to be as easy as Python list. If you know how to Python, you know how to DocArray. Intuitive idioms and type annotation simplify the code you write. 🧑‍🔬 **Data science powerhouse**: greatly accelerate data scientists work on embedding, matching, visualizing, evaluating via Torch/Tensorflow/ONNX/PaddlePaddle on CPU/GPU. 🚡 **Portable**: ready-to-wire at anytime with efficient and compact serialization from/to Protobuf, bytes, JSON, CSV, dataframe. PyPI: [https://pypi.org/project/docarray](https://pypi.org/project/docarray)

Ecosystem
conda-forge.org
Latest Release
0.16.5
over 3 years ago
Versions
99
Dependent Packages
3
Dependent Repos
1
jina-perf 3.7.7
🔮 Build multimodal AI services via cloud native technologies · Neural Search · Generative AI · Cl...
45 versions - Latest release: over 3 years ago - 17,815 stars on GitHub
jina-core 3.7.7
🔮 Build multimodal AI services via cloud native technologies · Neural Search · Generative AI · Cl...
45 versions - Latest release: over 3 years ago - 17,815 stars on GitHub
jina 3.7.7
🔮 Build multimodal AI services via cloud native technologies · Neural Search · Generative AI · Cl...
45 versions - Latest release: over 3 years ago - 1 dependent repositories - 17,815 stars on GitHub
Past Dependents
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Registry conda-forge.org
Source Repository
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CodeMeta codemeta.json
Package Details
PURL pkg:conda/docarray?repository_url=https://conda-forge.org
spec
License Apache-2.0
First Release about 4 years ago
Last Synced 12 days ago
Repository
Stars 2,999 on GitHub
Forks 231 on GitHub
Commits 914
Committers 59
Avg per Author 15.492
DDS 0.644