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slopcount

PyPIInfrastructure

PulseGate's liveness check found it on 28 Sep 2026; it is registered on PyPI and has been in the index since 28 Sep 2026. How this is checked

slopcount is an open-source command-line tool that analyzes codebases for patterns associated with AI-generated code. It estimates the cost of comprehending the code using code-quality and complexity metrics, helping developers assess maintenance effort.

Inferred · not functionally tested

Open SourceMITCLISelf-hosted
Visit PyPI

Overview

6 features

Purpose: Identifying AI-generated code and estimating the cognitive effort needed to comprehend it.

Inferred · not functionally tested

Audience: software developers and 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. These links do not verify the individual claims.

slopcount sits in PulseGate's Static analysis & linters category. Inferred · not functionally tested: It focuses on identifying AI-generated code and estimating the cognitive effort needed to comprehend it. Inferred · not functionally tested: It is built as an open-source project for software developers and engineering teams. Basis unknown · not verified: slopcount is open source under the MIT license. Basis unknown · not verified: slopcount is available on the command line, and it can be self-hosted.

slopcount first shipped in 2026. Inferred · not functionally tested: Key capabilities include AI slop detection, codebase analysis, and comprehension cost estimates.

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

Tasks: Inferred · not functionally tested

  • AI slop detection
  • Codebase analysis
  • Comprehension cost estimates
  • Cognitive complexity metrics
  • SLOC analysis
  • COCOMO estimates

Topics: Inferred · not functionally tested

Tags
ai-code-detectioncode-qualitycognitive-complexitycode-comprehension

JSON profile · Text profile · Access guide

Built with & integrations

Runs on
CLISelf-hosted

Trust & compliance

License
MIT
Public signals
HTTPSOpen SourceFree tier

Indexing history

4

What PulseGate has recorded for this listing

  1. Indexed2 Oct · 22:41 UTC
    slopcount seen via PyPI Fresh Feed
    Source: PyPI Fresh Feed · Open
  2. Indexed28 Sep · 21:27 UTC
    slopcount seen via PyPI Fresh Feed
    Source: PyPI Fresh Feed · Open
  3. Indexed28 Sep · 21:11 UTC
    slopcount seen via PyPI Fresh Feed
    Source: PyPI Fresh Feed · Open
  4. Indexed28 Sep · 19:34 UTC
    slopcount seen via PyPI Bulk Enumerator
    Source: PyPI Bulk Enumerator · Open

Frequently asked questions about slopcount

What is slopcount?
Inferred · not functionally tested: Slopcount focuses on identifying AI-generated code and estimating the cognitive effort needed to comprehend it. It is catalogued under Static analysis & linters on PulseGate.
Who is slopcount for?
Inferred · not functionally tested: slopcount is an open-source project built for software developers and engineering teams.
Does slopcount have a free plan?
Basis unknown · not verified: Yes — slopcount is open source under the MIT license and free to use.
What platforms does slopcount run on?
Basis unknown · not verified: slopcount runs on the command line. It can also be self-hosted.
Is slopcount still active?
PulseGate's liveness check found it on 28 Sep 2026.
What are alternatives to slopcount?
Similar projects tracked by PulseGate include slopscore, SlopCodeBench, and slop-o-meter.slopscoreSlopCodeBenchslop-o-meter
How long has slopcount been around?
slopcount first shipped in 2026.
Is slopcount open source?
Basis unknown · not verified: Yes — slopcount is open source under the MIT license.

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