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Scientific Literature Python Packages

Python packages with the GitHub topic scientific-literature. Sorted by monthly downloads, with stars and forks.
phelps-sg
scibraid

Turns a research question into a graph of hypotheses, experiments, conditions and results, built by a coding agent from the papers. Every link carries a verbatim quote checked against the source text. Graphs for different questions are pooled and aligned to surface connections no single review was looking for. No API keys, no server.

5K 0 0
surendranb
find-research-papers-mcp

MCP server for scientific grounding: search arXiv, OpenAlex, Crossref, Semantic Scholar, PubMed — references/citations from paywalled journals via public metadata

2K 6 1
RudiRegenwurm
notanda

Local, provenance-aware tool for collecting and verifying open-access scientific literature.

1K 0 0
shenxuekairui
aletheia-nexus

Local-first scientific knowledge acquisition with verifiable sources, PDF identity, and provenance

1K 3 0
RudiRegenwurm
notanda-mcp

Local, provenance-aware tool for collecting and verifying open-access scientific literature.

824 0 0
rajdeepmondaldotcom
pmcgrab

A PMC ID in. Clean, loss-aware article JSON out. Parse PubMed Central and JATS XML for biomedical AI, RAG, search, and literature pipelines.

667 24 1
sensein
grobidarticleextractor

GrobidArticleExtractor is a Python package designed to extract and organize content from scientific papers in PDF format.

523 1 2
Simonsays095
centaurminer

A selenium wrapper to help mining scientific literature online.

295 7 1
genecell
preprint-fulltext

Retrieve full text of bioRxiv, medRxiv & arXiv preprints as structured sections — to ground LLM/agent scientific reasoning, deep research, and RAG. CLI + Python + MCP.

183 2 0
vaneseltine
ash-williams

Finding the Evil Dead in the scientific literature

124 2 0
ddomingof
pubmed2pdf

A Python package to download full article PDFs from OA publications

107 54 16
SMTG-Bham
paperminertoolkit

Builds scientific-paper corpora and extracts structured, recipe-defined data with configurable text and vision models.

96 11 0
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    • Sources & methodology