Who should use tracegauge?

tracegauge is an open-source project built for AI developers.

Yes — tracegauge is open source under the AGPL-3.0 license and free to use.

What platforms does tracegauge run on?

tracegauge runs on the command line.

Is tracegauge still active?

The GitHub repository shows 198 commits in the last 90 days.

Who develops tracegauge?

tracegauge is developed by gaurav-gandhi-2411.

When did tracegauge launch?

tracegauge first shipped in 2026.

Is tracegauge open source?

Yes — tracegauge is open source under the AGPL-3.0 license, developed on GitHub.

Back to the index

tracegauge

Name: tracegauge
Author: gaurav-gandhi-2411

PyPIInfrastructure

tracegauge is an open-source CLI tool that evaluates Claude Code LLM sessions on token economy, trajectory quality, and deterministic waste. It runs locally by default, providing developers with actionable insights to optimize their AI coding workflows.

Open SourceAGPL-3.0CLI

Visit PyPI

Overview

5 features

In the LLM evaluation & benchmarks space, tracegauge takes a focused approach. It focuses on measuring and improving the efficiency and quality of Claude Code LLM sessions for developers. tracegauge is an open-source project aimed at AI developers. The project is open source (AGPL-3.0). It ships for the command line.

Behind tracegauge is gaurav-gandhi-2411, and it first shipped in 2026. Development happens publicly on GitHub with 198 commits in the last 90 days. Among its 5 catalogued features are token efficiency scoring, local analysis, and deterministic waste detection.

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

Token efficiency scoring
Local analysis
Deterministic waste detection
Claude Code session support
Open source

Built with & integrations

Framework

flask

AI providers

anthropic

Runs on

CLI

Trust & compliance

License

AGPL-3.0

Verified signals

HTTPSOpen SourceFree tierGitHubActive maintenance

Indexing history

What PulseGate has recorded for this listing

Indexed3 Jul · 23:52 UTC
tracegauge verified via PyPI Fresh Feed
Source: PyPI Fresh Feed · Open

Frequently asked questions about tracegauge

What is tracegauge?: Tracegauge focuses on measuring and improving the efficiency and quality of Claude Code LLM sessions for developers. It is catalogued under LLM evaluation & benchmarks on PulseGate.
Who should use tracegauge?: tracegauge is an open-source project built for AI developers.
Is tracegauge free?: Yes — tracegauge is open source under the AGPL-3.0 license and free to use.
What platforms does tracegauge run on?: tracegauge runs on the command line.
Is tracegauge still active?: The GitHub repository shows 198 commits in the last 90 days.
Who develops tracegauge?: tracegauge is developed by gaurav-gandhi-2411.
When did tracegauge launch?: tracegauge first shipped in 2026.
Is tracegauge open source?: Yes — tracegauge is open source under the AGPL-3.0 license, developed on GitHub.

At a glance

Platforms: CLI
Languages: English
Open source: Yes (GitHub)
License: AGPL-3.0
First seen: 3 Jul 2026
Built for: AI developers
Model: Open source
Solves: Measuring and improving the efficiency and quality of Claude Code LLM sessions for developers.

Registered as

GitHub: gaurav-gandhi-2411/token-efficiency-scorer
PyPI: tracegauge

Developer

gaurav-gandhi-2411

Solo developer

GitHub

Open source

View on GitHub

Stars: 0
Forks: 0
Open issues: 0
Last commit: 3 Jul 2026
Commits 90d: 198
Contributors: 1
Authorship: Solo
Default branch: master

Index record

Indexed: 3 Jul 2026
Lifecycle: Alive
First seen: Jul 2026
Last seen: 3 Jul 2026

Identity audit (12)

Slug: tracegauge-pypi-org
Lifecycle last checked: 8 Aug 2026
Verification state: Indexed for public listing
Listing state: Listed: yes
Index status: Included in index
Latest evidence snapshot: 3 Jul 2026
Timeline basis: Indexed-at chronology (no inferred launch/funding milestones).
Name from: Written by a language model from the project's public pages.
Category from: Recorded source: taxonomy-pass-a.
Summary from: Written by a language model from public pages.
Languages from: Detected by a language model from page content.
Canonical URL: https://pypi.org/project/tracegauge

Ship this? Send a correction — no account, and you get a link to follow it.

Similar projects

Closest matches by what these projects do