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Add benchmark pairs for: dataframe_creation, series_arithmetic, groupby_mean, series_sort, dataframe_filter, concat, merge, rolling_mean, describe, series_value_counts, read_csv, series_string_ops, pivot_table, ewm_mean, dataframe_apply, series_fillna, dataframe_dropna, dataframe_sort, series_cumsum, series_shift, dataframe_rename. Fix playground/benchmarks.html to handle null tsb values gracefully. Update results.json with pandas timing results. Metric: 22 (previous best: 13, delta: +9) Run: https://github.com/githubnext/tsessebe/actions/runs/24310339206
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🤖 This PR is maintained by Autoloop. Each accepted iteration adds a commit to this branch.
Performance Benchmarks: tsb vs pandas
Goal: Systematically benchmark every tsb function against its pandas equivalent, one function per iteration.
Branch:
autoloop/perf-comparisonState File:
perf-comparison.mdCurrent Best
Metric:
benchmarked_functions = 22(established in iteration 9)Summary
This PR accumulates benchmark comparison pairs between tsb (TypeScript/Bun) and pandas (Python). Each iteration adds one or more benchmark scripts in
benchmarks/tsb/andbenchmarks/pandas/, runs the Python benchmarks for timing, and updatesbenchmarks/results.jsonandplayground/benchmarks.html.Functions Benchmarked (22)
tsb timings require Bun and will be populated when CI runs with Bun available.