[Autoloop] [Autoloop: perf-comparison]
- Dominant language
- TypeScript
- Stars
- 7
- Forks
- 3
- Avg merge
- 1h 42m
- Merged PRs (30d)
- 1
Description
🤖 *Autoloop program issue for `perf-comparison`. The program definition below is mirrored from [`.autoloop/programs/perf-comparison/program.md`](https://github.com/githubnext/tsessebe/blob/main/.autoloop/programs/perf-comparison/program.md). Edit the file to update the definition; comment on this issue to steer the agent.*
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schedule: every 6h
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# Performance Comparison: tsb (TypeScript) vs pandas (Python)
## Goal
Systematically benchmark every tsb function against its pandas equivalent, one function per iteration. Each iteration picks a function that has not yet been benchmarked, writes a matching performance test for both tsb (TypeScript/Bun) and pandas (Python), runs both, and records the timing results. The benchmark results are displayed on the playground pages doc site.
This is an open-ended program — it runs continuously, always adding the next benchmark comparison.
## Target
Only modify these files:
- `benchmarks/**` — benchmark scripts and results
- `playground/benchmarks.html` — performance comparison playground page
- `playground/index.html` — add/update link to benchmarks page
## Evaluation
The metric is `benchmarked_functions`. **Higher is better.**
> Generated by [Autoloop](https://github.com/githubnext/tsessebe/actions/runs/24926433071/agentic_workflow) · ● 2.5M · [◷](https://github.com/search?q=repo%3Agithubnext%2Ftsessebe+is%3Aissue+%22gh-aw-workflow-call-id%3A+githubnext%2Ftsessebe%2Fautoloop%22&type=issues)
Contributor guide
No contributing guide indexed for this repository
Research direction
Start with .autoloop/programs/perf-comparison/program.md, then inspect benchmarks/** and the referenced playground/benchmarks.html and playground/index.html. The program compares one unbenchmarked tsb function with pandas per iteration; completion for an iteration means adding both benchmark scripts and recording the result on the playground page, with no finite overall endpoint.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- bun, pandas, python, typescript
- Domain
- data, performance, testing-qa, web-dev
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Active
- Clarity
- Mostly clear
- Newbie friendliness
- 25/100