Bango vs Parsifal

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.

Parsifal is a web tool for planning, conducting and reporting systematic literature reviews. Its planning process covers objectives, PICOC, research questions, keywords, search strings, selection criteria, quality questions and data extraction forms. Researchers can import BibTeX records from Scopus, Web of Science, IEEE, ACM and PubMed, or use API imports. The platform supports article screening against inclusion and exclusion criteria, duplicate detection, quality assessment and snowballing through references and citations. Review owners can invite co-authors to edit protocols, screen articles and generate content, or share a public read-only link. Parsifal can create PRISMA diagrams and export review data to Excel or CSV, with papers in Word, LaTeX or PDF. It lists more than 45 community templates across 12 domains and 6 languages, and connections to services including ASReview, OpenAlex and Semantic Scholar. Its optional AI assistant can help with screening, assessment, extraction and paper sections, but requires the user's Anthropic or OpenAI API key; AI usage is billed directly by the AI provider. Imported articles, screening decisions and extraction data are stored in the user's account database.