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annotateai

neuml/annotateai

Automatically annotate papers using LLMs

GraphCanon updated Sep 20, 2026 · GitHub synced Sep 20, 2026

60views this month

426 stars43 forksLast push May 5, 2026 Python Apache-2.0

Decision brief

annotateai uses LLMs to automate the annotation of scientific and medical papers. It's open-source under Apache-2.0, categorized as an LLM Framework and Data & Retrieval tool.

Good fit when

  • Need automated annotations for large volumes of scientific or medical papers
  • Have access to LLM capabilities through Python integration

Avoid when

  • Require detailed, custom annotations that go beyond general LLML capabilities
  • Situations where regulatory approval necessitates human review over machine-generated annotations

Observed Jul 12, 2026 · Source: enrich:decision_facts

Verify the decision

Maintenance and security

Full trust report
Maintenance
Slowing (137d since push)
As of Sep 20, 2026
Provenance
Not a fork · Organization account
As of Sep 20, 2026
Security (OSV)
No lockfile
As of Jul 11, 2026

Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.

Install

pip install annotateai
PyPI

Similar tools

Same-category neighbours. No typed graph edges are catalogued for this tool yet.

Evidence and technical details

Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.

Overview

Neuml's AnnotateAI aims to automate the annotation of scientific and medical papers through Large Language Models (LLMs).

Capability facts

Languages
python

Source: github.language+pyproject.toml · Sep 20, 2026

Categories

Compatibility

Sourced claims from the README excerpt - not unsourced marketing copy.

Python runtimePython

Source: README excerpt (regex_v1, Sep 20, 2026)

Python 3.10+ is supported. Using a Python [virtual environment](https://docs.python.org/3/l
Source link

Tags

README

Installation The easiest way to install is via pip and PyPI Python 3.10+ is supported. Using a Python virtual environment is recommended. can also be installed directly from GitHub to access the latest, unreleased features. Run pip install llama cpp python to enable annotate = An...

For agents

This page has a .md twin and JSON over the API.

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