github Actively maintained

aurumz-rgb/ReviewAid

AI-Driven Full-Text Screening and Data Extraction for Systematic Reviews and Evidence Synthesis

1 awesome list

Quick read

Stars
10
Forks
7
Open issues
3
Commits
160

Activity and growth

Latest capture 2026-08-12 03:03

Stars · last 7 days
No history
Commits · last 7 days
No history
Stars since tracking
+1
Stored snapshots
2

Classification

Metadata

Language
Python
License
Apache-2.0
Default branch
main
Created
2025-07-26
First commit
2025-07-26
Last pushed
2026-08-06
GitHub updated
2026-08-06
Last synced
2026-08-12 03:03
Stack scanned
2026-08-12 03:03
Archived
No

AI development signals

0 paths

Agent instructions and tool configuration found in this repository.

No config files detected.

Growth history

Tracked growth

2 observed captures since 2026-07-19. Observed captures are shown by default.

Stars from first capture +1

Chart data

Observed captures only

Time horizon

All tracked data

Custom date range

Stars history

Observed snapshots

Commits history

Observed snapshots

Similar repositories

Nearest indexed repositories by embedding similarity.

alibaba/open-code-review

Fast, efficient, battle-tested at Alibaba's scale. Hybrid architecture code review tool: deterministic pipelines + LLM Agent, precise line-level comments, built-in multi-language ruleset (NPE, thread-safety, XSS, SQL injection), OpenAI & Anthropic compatible.

19,836 stars
Go 7 awesome lists

ChaokunHong/MetaScreener

AI-powered tool for efficient abstract and PDF screening in systematic reviews.

1,326 stars
Python 2 awesome lists

SakanaAI/AI-Scientist

The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery 🧑‍🔬

14,320 stars
Jupyter Notebook 1 awesome list

clusterzx/paperless-ai

An automated document analyzer for Paperless-ngx using OpenAI API, Ollama, Deepseek-r1, Azure and all OpenAI API compatible Services to automatically analyze and tag your documents.

5,882 stars
JavaScript 2 awesome lists

Nayjest/Gito

An AI-powered GitHub code review tool that uses LLMs to detect high-confidence, high-impact issues—such as security vulnerabilities, bugs, and maintainability concerns.

426 stars
Python 1 awesome list