Packages PyPI unstructured Package · PyPI
unstructured PyPI · v0.27.34 · Apache-2.0
A library that prepares raw documents for downstream ML tasks.
Tentative categories were assigned with moderate confidence (0.5 to 0.75): they are shown, but they do not count toward a category’s momentum. How categories work
Install pip install unstructuredCopy Adoption
Adoption — Not published by PyPI Not published
Popularity — Not published by PyPI Not published
Dependents — Not published by PyPI Not published
Maintenance 0.99 Derived Release cadence and recency, 0 to 1
Releases per year 60 246 versions over its life Growth by period PyPI publishes no adoption figure, so there is no growth to derive. Nothing is estimated in its place.
7 days — Not published by PyPI Not published
30 days — Not published by PyPI Not published
90 days — Not published by PyPI Not published
1 year — Not published by PyPI Not published Adoption history PyPI publishes no adoption count, so there is no history to chart. That is a fact about the registry, not a gap in ours: the package’s releases and maintenance are measured instead.
Facts from the registry
Latest version v0.27.34 246 versions
First published SEP 6, 2022
Last release OCT 22, 2026 37h ago
Licence Apache-2.0 Repository In the Crest catalog
Convert documents to structured data effortlessly. Unstructured is open-source ETL solution for transforming complex documents into clean, structured formats for language models. Visit our website to learn more about our enterprise grade Platform product for production grade workflows, partitioning, enrichments, chunking and embedding.
Language HTML
Last push 22d ago
Last release 27d ago Dependencies latest version · v0.27.34 Runtime 25 beautifulsoup4 <5.0.0,>=4.14.3certifi >=2026.10.19charset-normalizer <4.0.0,>=3.4.4emoji <3.0.0,>=2.15.0filelock <4.0.0,>=3.12.0filetype <2.0.0,>=1.2.0html5lib <2.0.0,>=1.1installer <1.0.0,>=0.7.0langdetect <2.0.0,>=1.0.9lxml <7.0.0,>=5.0.0nh3 <1.0.0,>=0.3.0numba <1.0.0,>=0.60.0numpy <3.0.0,>=1.26.0psutil <8.0.0,>=7.2.2python-iso639 <2027.0.0,>=2026.1.31python-magic <1.0.0,>=0.4.27python-oxmsg <1.0.0,>=0.0.2rapidfuzz <4.0.0,>=3.14.3regex <2027.0.0,>=2024.0.0requests <3.0.0,>=2.32.5spacy <4.0.0,>=3.7.0tqdm <5.0.0,>=4.67.3typing-extensions <5.0.0,>=4.15.0unstructured-client <1.0.0,>=0.25.9wrapt <3.0.0,>=2.1.1unstructured-cpu A library that prepares raw documents for downstream ML tasks. Published from the same repository org.k2fsa.sherpa.onnx.runtime.osx-arm64 .NET native osx-arm64 wrapper for the sherpa-onnx project.
In general, you don't need to use this package directly.
Please use https://www.nuget.org/packages/org.k2fsa.sherpa.onnx instead Same primary category org.k2fsa.sherpa.onnx.runtime.linux-x64 .NET native linux-x64 wrapper for the sherpa-onnx project.
In general, you don't need to use this package directly.
Please use https://www.nuget.org/packages/org.k2fsa.sherpa.onnx instead Same primary category org.k2fsa.sherpa.onnx.runtime.linux-arm64 .NET native linux-arm64 wrapper for the sherpa-onnx project.
In general, you don't need to use this package directly.
Please use https://www.nuget.org/packages/org.k2fsa.sherpa.onnx instead Same primary category org.k2fsa.sherpa.onnx.runtime.android-x64 .NET native android-x64 wrapper for the sherpa-onnx project.
In general, you don't need to use this package directly.
Please use https://www.nuget.org/packages/org.k2fsa.sherpa.onnx instead Same primary category org.k2fsa.sherpa.onnx.runtime.android-arm64 .NET native android-arm64 wrapper for the sherpa-onnx project.
In general, you don't need to use this package directly.
Please use https://www.nuget.org/packages/org.k2fsa.sherpa.onnx instead Same primary category org.k2fsa.sherpa.onnx sherpa-onnx is an open-source real-time speech recognition toolkit developed
by the Next-gen Kaldi team. It supports streaming recognition on a variety of
platforms such as Android, iOS, Raspberry, Linux, Windows, macOS, etc.
It does not require Internet connection during recognition.
See the documentation https://k2-fsa.github.io/sherpa/onnx/index.html
for details. Same primary category Related news No published news event mentions this package or its repository yet.
