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Performance Benchmarks

🚧 Coming Soon:
Comprehensive performance benchmarks for Batho will be published in a future release.
Our team is currently calibrating the benchmark suite to cover a wide range of codebase sizes and environments.

Batho is designed from the ground up for maximum throughput and minimal overhead. In upcoming releases, we will publish comparative benchmarks details for the following key performance areas:

Planned Benchmark Metrics​

⚡ Build Throughput​

  • Description: Speed of building the initial code hypergraph from scratch.
  • Comparison: Scalability on repos from 10k LOC up to 10M LOC.

⏱️ Patch Latency​

  • Description: Time taken to parse changed files, update dependencies, and incrementally update the hypergraph representation.
  • Comparison: Comparison of full rebuild vs. incremental patching.

📦 Export Compression Ratio​

  • Description: Efficiency of the Bidirectional Semantic Graph (BSG) compression algorithm.
  • Comparison: Zip / Tar compression size versus BSG compressed map format.

🔄 Load Restoration Speed​

  • Description: Time needed to fully restore/reconstruct the internal code state and active graph representation from stored Arrow bundles.

Stay tuned for the official benchmark data and replication scripts!