JPlag vs Pangram

JPlag is free software for finding pairwise similarities among programs that may indicate source-code plagiarism or collusion. It examines programming-language syntax and program structure, helping identify overlap even when code has been partly obfuscated. Analysis runs locally on the user’s machine, and the project says no data is sent externally. Comparisons are between submitted programs rather than internet sources. Listed language support includes Java, C, C++, C#, Python, JavaScript, TypeScript, Go, Kotlin, R, Rust, Swift, Scala, LLVM IR, Scheme, EMF, SCXML, text, and multi-language submissions, with varying maturity. Users can run the command-line interface or Java API, launch a report viewer from the CLI, or add JPlag through Maven Central. Reports show at most 2,500 pairs by default, adjustable with the -n option. Lower minimum matching-token lengths increase sensitivity but can also increase false positives. Running or building requires Java SE 25.

Pangram detects AI-generated text and images and offers plagiarism detection. Its text analysis covers material associated with ChatGPT, Gemini, Grok, Llama, and Claude, and it can highlight passages edited by AI rather than fully generated by AI. Users can submit PDF, DOCX, and RTF files, with uploads of up to 100 files at a time. Pangram says its detection works across more than 20 languages. A Chrome and Firefox extension scans feeds on sites including X, LinkedIn, Substack, Medium, Reddit, and Google Docs; listed integrations also include Canvas, Blackboard, Brightspace, Google Classroom, Moodle, Schoology, and Ashby. Pangram says submitted content is not used to train generalized AI models. Text remains stored while an account is active but can be deleted from dashboard history. The service has a free plan and a 7-day trial. Individual costs $20 per month billed annually, and Professional costs $65 per month billed annually. The site displays SOC 2 Type 2 verification by AssuranceLab.