Package · PyPI

xh-pdf-parser

PyPI · v1.3.1.2 · Licence not reported

A practical tool for converting PDF to Markdown

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 xh-pdf-parser

Adoption

Adoption
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Popularity
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Dependents
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Maintenance
0.22
DerivedRelease cadence and recency, 0 to 1
Releases per year
132
5 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
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30 days
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90 days
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1 year
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Adoption history

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
v1.3.1.2
5 versions
First published
MAR 28, 2025
Last release
APR 11, 2025
19mo ago
Licence
Not reported

Repository

In the Crest catalog

opendatalab/MinerU

Transforms complex documents like PDFs and Office docs into LLM-ready markdown/JSON for your Agentic workflows.

Stars
81K
Forks
6.8K
Language
Python
Last push
24d ago
Last release
25d ago

Linked by the package’s own registry metadata.GitHub (opens in a new tab)

Dependencies latest version · v1.3.1.2

Runtime 25

  • Brotli>=1.1.0
  • PyMuPDF<1.25.0,>=1.24.9
  • PyYAML<7,>=6.0.2
  • boto3>=1.28.43
  • click>=8.1.7
  • dill<1,>=0.3.8
  • doclayout_yolo==0.0.2b1
  • fast-langdetect<0.3.0,>=0.2.3
  • ftfy<7,>=6.3.1
  • loguru>=0.6.0
  • matplotlib>=3.10
  • numpy>=1.21.6
  • omegaconf<3,>=2.3.0
  • openai<2,>=1.70.0
  • pdfminer.six==20231228
  • pyclipper<2,>=1.3.0
  • pydantic<2.11,>=2.7.2
  • rapid_table<2.0.0,>=1.0.5
  • scikit-learn>=1.0.2
  • shapely<3,>=2.0.7
  • torch!=2.5.0,!=2.5.1,<=2.6.0,>=2.2.2
  • torchvisionAny version
  • tqdm>=4.67.1
  • transformers!=4.51.0,<5.0.0,>=4.49.0
  • ultralytics>=8.3.48

Related news

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