Skip to content
Back to the index

sloptrace

PyPIInfrastructure

No liveness check has reached it yet; it is registered on GitHub and PyPI and has been in the index since 8 Oct 2026. How this is checked

sloptrace is an open-source Python code-quality tool that calculates deterministic complexity-erosion metrics for codebases. It helps developers identify technical debt and degradation associated with complex or AI-generated code.

Inferred · not functionally tested

Open SourceMITCLISelf-hosted
Visit PyPI

Overview

5 features

Purpose: Detecting complexity erosion and technical debt in Python codebases.

Inferred · not functionally tested

Audience: Python developers and software engineering teams

Inferred · not functionally tested

Functions: Unknown

Interfaces: API: unknown · MCP: unknown · CLI: indicated (inferred, not tested) · Self-hosting: indicated (inferred, not tested)

Recorded constraints: pricing: open_source · license: MIT · platforms: CLI · deployment: cli, self_hosted

Constraint provenance is unknown; confirm requirements with the publisher.

Record sources: pypi.org · github.com. These links do not verify the individual claims.

sloptrace is a Static analysis & linters project. Inferred · not functionally tested: It focuses on detecting complexity erosion and technical debt in Python codebases. Inferred · not functionally tested: sloptrace is an open-source project aimed at python developers and software engineering teams. Basis unknown · not verified: The project is open source (MIT). Basis unknown · not verified: It runs on the command line, and it can be self-hosted.

Behind sloptrace is sjtechdev, and it first shipped in 2026. The project is developed in the open on GitHub with 4 commits in the last 90 days. Inferred · not functionally tested: Key capabilities include complexity metrics, static analysis, and technical debt detection.

Summary written by a language model from the project’s public pages.

Tasks: Inferred · not functionally tested

  • Complexity metrics
  • Static analysis
  • Technical debt detection
  • Python code analysis
  • Deterministic measurements

Topics: Inferred · not functionally tested

Tags
python-static-analysiscomplexity-metricstechnical-debtai-generated-code

JSON profile · Text profile · Access guide

Built with & integrations

Written with
Claude Code
Runs on
CLISelf-hosted
Written with — evidence
Claude Code
commit b6b757c2673c · since Oct 2026

Trust & compliance

License
MIT
Public signals
HTTPSOpen SourceFree tierGitHubActive maintenance

Indexing history

1

What PulseGate has recorded for this listing

  1. Indexed8 Oct · 03:10 UTC
    sloptrace seen via PyPI Bulk Enumerator
    Source: PyPI Bulk Enumerator · Open

Frequently asked questions about sloptrace

What is sloptrace?
Inferred · not functionally tested: Sloptrace focuses on detecting complexity erosion and technical debt in Python codebases. It is catalogued under Static analysis & linters on PulseGate.
Who should use sloptrace?
Inferred · not functionally tested: sloptrace is an open-source project built for python developers and software engineering teams.
Does sloptrace have a free plan?
Basis unknown · not verified: Yes — sloptrace is open source under the MIT license and free to use.
What platforms does sloptrace run on?
Basis unknown · not verified: sloptrace runs on the command line. It can also be self-hosted.
Is sloptrace still active?
The GitHub repository shows 4 commits in the last 90 days.
What projects are similar to sloptrace?
Similar projects tracked by PulseGate include roclint, rulestamp-base-image-eol-lint, and rulestamp-pg-migration-lock-lint.roclintrulestamp-base-image-eol-lintrulestamp-pg-migration-lock-lint
Who develops sloptrace?
sloptrace is developed by sjtechdev.
When did sloptrace launch?
sloptrace first shipped in 2026.

Also in Static analysis & linters

Same category — not a similarity match