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Sourcery vs SuperCompress

SourcerySuperCompress

Bottom line: Sourcery for python-heavy teams; SuperCompress for developers cutting LLM API costs.

SourcerySourcery

AI code review and quality for Python and beyond

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SuperCompressSuperCompress

Query-aware prompt compression that cuts LLM input tokens by roughly 60% before inference.

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Votes00
PricingFreemiumFreemium
CategoryCodingCoding
Tags
code-reviewcode-qualitypythonrefactoringdeveloper-tools
llmdeveloper-toolscost-optimization
Best for
  • Python-heavy teams
  • Developers wanting in-editor quality feedback
  • Teams enforcing custom rules
  • Developers cutting LLM API costs
  • RAG pipelines with oversized retrieved context
  • Teams running coding agents
Pros
  • Deep Python rule set (200+ built-in rules)
  • Real-time in-editor feedback across major IDEs
  • Custom rules via .sourcery.yaml
  • SOC 2 certified with zero-retention option
  • Bring-your-own-LLM support
  • Open source under the MIT license and free to self-host
  • Genuine free tier: 1M tokens/month with no credit card
  • Cheap
  • transparent usage pricing at $0.30 per 1M tokens
  • Runs on CPU with no GPU or model download (~60ms per compression)
Cons
  • Rule depth outside Python is more limited
  • Smaller, seed-stage footprint than leaders
  • Pricing figures vary across sources
  • No self-hosted option noted
  • Best value skewed toward Python teams
  • Early-stage project with a small team and limited independent track record
  • Headline compression (~58-82%) and >98% retention figures are vendor-reported and benchmark-dependent
  • Compression is lossy
  • so aggressive settings can drop context that later turns out to matter
  • Text-only: it does not compress image or audio context

Comparison generated from each tool's listing. Add or remove tools above to change it.