githubnext / githubnext/tsb

[Autoloop] [Autoloop: perf-comparison]

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autoloop autoloop-program automation
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

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