Bango vs ReviewAid

Bango automates abstract screening for systematic literature reviews by assessing articles against criteria users define. Its AI screening returns decisions along with reasoning, matched rules, suggested tags, and confidence scores. Projects can import RIS and BibTeX files or Zotero collections, with up to 10,000 articles supported per project. Bibliometric analysis includes co-authorship networks, citation graphs, keyword maps, publication timelines, author rankings, and co-citation analysis. Bango can produce PRISMA 2020 flow diagrams from record counts and export them as SVG or PNG. It also supports Zotero import and export and can generate Boolean search strings for several research indexes and libraries. The maker says project data stays on the user's computer, with no cloud uploads, login, or account required. The README describes locally encrypted API keys and backups that omit credentials. AI connections include hosted providers such as OpenAI, Anthropic, Google Gemini, Mistral AI, and z.ai, as well as local and other OpenAI-compatible endpoints. Bango runs on Linux, macOS, and Windows, though macOS builds support Apple Silicon only. The Free plan is free, with no subscription, paywall, or limits.

ReviewAid is a free, open-source AI tool for full-text screening and data extraction in systematic reviews. Researchers can provide PICO inclusion and exclusion criteria for classifying papers, then define which fields they want extracted. The tool reports confidence scores and marks low-confidence results for manual review. Downloads are available as CSV, XLSX, or DOCX. ReviewAid supports OpenAI, Anthropic, DeepSeek, Cohere, Z.ai, and local Ollama. When a cloud provider is selected, paper text is sent to that provider for the run; with Ollama, inference takes place on the local machine and the text remains there. The maker says API keys are not stored. Users can work in a browser-based Streamlit app or install locally with Python 3.12 or later and Streamlit on Windows, macOS, or Linux. Hosted sessions may take about 30 seconds to initialize. Submission guidance caps full-text screening at 10 articles and extraction at 20 per submission. ReviewAid is licensed under Apache 2.0 and is described as a supplementary reviewer, not a substitute for manual screening or extraction.