AI-powered utility for assessing and planning code migrations across many languages.

The tool serves information systems teams and vendors managing multi-language legacy assets by delivering initial diagnostics and candidate transformations. It relies on an external AI service for flexible handling of uncommon language pairs that fixed commercial converters often cannot address. Key capabilities include automatic retry logic for API issues, resumption of interrupted runs via file hashing, removal of extraneous output formatting, and conversion of related project files such as dependency manifests. Users may specify custom languages and extensions when needed. Operation requires an API key from the underlying model provider along with Python for the source distribution or a prebuilt executable for simpler deployment. Sample data allows offline demonstration of core behaviors before full use.
Analyze COBOL, VBA or PL/SQL repositories to generate migration outlines, conversion samples and difficulty estimates before committing to full projects.
Process codebases spanning 113 languages plus custom entries, producing initial conversion candidates while preserving folder structure for SI vendors and in-house teams.
Run quick PoC scans on mixed-language assets to surface hand-edit points, ecosystem file mappings and realistic effort indicators ahead of vendor quotes.
Pricing model: Open Source. Plan details are indicative — check the site for current prices.
Our take: UniversalMigrator is a solid coding & dev choice. It's valued for free mit license for oss/personal/internal poc use and handles niche/legacy language pairs not covered by fixed tools. The main trade-off is requires separate anthropic api key for live conversions. A good pick if you want capable AI without a high upfront cost.
113 built-in languages plus any custom language specified via command-line flags; the Claude model attempts conversion for any pair.
UniversalMigrator is a solid coding & dev choice. It's valued for free mit license for oss/personal/internal poc use and handles niche/legacy language pairs not covered by fixed tools. The main trade-off is requires separate anthropic api key for live conversions. A good pick if you want capable AI without a high upfront cost.
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