PyRank
  • Insights
  • PyPI
  • GitHub
  • Search
  • Compare
  • Advisories
  • Ecosystem
  • About

Entity Recognition Python Packages

Python packages with the GitHub topic entity-recognition. Sorted by relevance, with stars and monthly downloads.
dtai-kg
autorml

AutoRML: A framework for automatic RML mapping generation using semantic table annotations

547 8 0
dtai-kg
torchic-tab-heuristic

TorchicTab-Heuristic: Semantic Table Annotation with Wikidata

406 8 0
graphgeeks-lab
graphfaker

A Python library for generating and loading synthetic and real-world datasets tailored for graph-based applications.

399 36 4
darkrockmountain
spacy-ewc

A spaCy library for Named Entity Recognition with Elastic Weight Consolidation.

326 2 0
chigwell
govaitextextract

govaitextextract extracts structured AI/tech initiative data from text for policy, news, and recruitment analysis.

178 1 0
apicrafter
metacrafter

Metadata and data identification tool and Python library. Identifies PII, common identifiers, language specific identifiers. Fully customizable and flexible rules

174 46 5
chigwell
fintextract

A new package designed to extract and structure key financial and business insights from unstructured news text. The package takes raw news text as input and returns a structured summary containing th

162 1 0
manikandan-velu
scikitcrf-ner

Enity Recognition using ScikitCRF

144 17 4
chigwell
copyright-stats-extractor

copyright-stats-extractor parses headlines/articles on digital copyright enforcement to auto‑extract stats like takedown counts, year, and parties.

132 1 0
chigwell
fundingextractor

A new package that processes news headlines and extracts structured information about company funding events, such as startup names, valuation amounts, and funding rounds, using pattern matching to en

93 1 0
chigwell
logistics-headline-extractor

Extracts key information from unstructured news headlines into structured domain-specific summaries for business, logistics, and transportation sectors.

92 1 0
    • Data from PyPI, GitHub, ClickHouse, and BigQuery