jcubic / jcubic/lips

Create profiling for Scheme and JavaScript code

Open
#486 1 comment 0 reactions 0 assignees View on GitHub
performance
Dominant language
JavaScript
Stars
507
Forks
45
Avg merge
11h 22m
Merged PRs (30d)
4

Description

Check which Scheme function or macro is called the most times during the unit test run.

Optimizing the most used functions or macros can make a difference in speed.

- [ ] Find or create a new tool for profiling
- [ ] Run profiling on Scheme code
- [ ] Run profiling on JavaScript code

Contributor guide

Open the contributing guide

Research direction

Start by examining how the unit test run executes Scheme and JavaScript code and what profiling tools are already available. Done means selecting or creating a profiling tool, then producing profiling results for both Scheme and JavaScript code that identify the most frequently called functions or macros.

Written by the indexing model from the issue text.

Assessment

Tech stack
javascript
Domain
performance, tooling
Issue type
Feature
Difficulty
4/5
Estimated time
3-5 days
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
30/100

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