Who should use optitokenize?

optitokenize is an open-source project built for developers.

Is optitokenize free?

Yes — optitokenize is open source under the MIT license and free to use.

What platforms does optitokenize run on?

optitokenize runs on the command line.

Is optitokenize still maintained?

The GitHub repository shows 7 commits in the last 90 days.

What are alternatives to optitokenize?

Similar projects tracked by PulseGate include isaac-acp, git-standup, and clipassman.

Who develops optitokenize?

optitokenize is developed by Aviad Buskila.

When did optitokenize launch?

optitokenize first shipped in 2026.

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optitokenize

Name: optitokenize
Author: Aviad Buskila

PyPIInfrastructure

optitokenize is a local-only command-line tool that analyzes token consumption from Claude Code interactions and attributes associated costs to specific modules within a Git repository. It helps developers understand and manage AI coding assistant expenses at a granular level without sending any data externally. Built as an open-source MIT-licensed Python package, it is designed for engineering teams using Anthropic's Claude models in their development workflow.

Open SourceMITCLI

Visit PyPI

Overview

5 features

optitokenize is a CLI tools & terminal project. It focuses on tracking and attributing the cost of Claude Code token usage across modules in a software repository. optitokenize is an open-source project aimed at developers. The project is open source (MIT). It runs on the command line.

Aviad Buskila builds and maintains optitokenize, and it first shipped in 2026. The project is developed in the open on GitHub with 7 commits in the last 90 days. Key capabilities include Token Pricing, Cost Attribution, and Module Analysis.

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

Token Pricing
Cost Attribution
Module Analysis
Local Processing
Repository Scanning

Built with & integrations

AI providers

anthropic

Runs on

CLI

Trust & compliance

License

MIT

Verified signals

HTTPSOpen SourceFree tierGitHubActive maintenance

Indexing history

What PulseGate has recorded for this listing

Indexed24 Jul · 13:28 UTC
optitokenize verified against its public source
Source: PulseGate · Open

Frequently asked questions about optitokenize

What does optitokenize do?: Optitokenize focuses on tracking and attributing the cost of Claude Code token usage across modules in a software repository. It is catalogued under CLI tools & terminal on PulseGate.
Who should use optitokenize?: optitokenize is an open-source project built for developers.
Is optitokenize free?: Yes — optitokenize is open source under the MIT license and free to use.
What platforms does optitokenize run on?: optitokenize runs on the command line.
Is optitokenize still maintained?: The GitHub repository shows 7 commits in the last 90 days.
What are alternatives to optitokenize?: Similar projects tracked by PulseGate include isaac-acp, git-standup, and clipassman.isaac-acp git-standup clipassman
Who develops optitokenize?: optitokenize is developed by Aviad Buskila.
When did optitokenize launch?: optitokenize first shipped in 2026.

At a glance

Platforms: Cli
Languages: English
Open source: Yes (GitHub)
License: MIT
First seen: 24 Jul 2026
Built for: developers
Model: Open source
Solves: Tracking and attributing the cost of Claude Code token usage across modules in a software repository.

Registered as

GitHub: aviad-buskila/tokenomics
PyPI: optitokenize

Developer

Aviad Buskila

Small team

GitHub

Open source

View on GitHub

Stars: 0
Forks: 0
Open issues: 0
Last commit: 24 Jul 2026
Commits 90d: 7
Contributors: 2
Authorship: Small team
Default branch: main

Live coverage

Identity confidence: Low · 64
Indexed: 24 Jul 2026
Lifecycle: Alive
First seen: Jul 2026
Last seen: 24 Jul 2026

Identity audit (13)

Slug: optitokenize-pypi-org
Lifecycle state recorded: 24 Jul 2026
Verification state: Indexed for public listing
Listing state: Listed: yes
Index status: Included in index
Latest evidence snapshot: 24 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: Assigned by a language model.
Summary from: Written by a language model from public pages.
Languages from: Detected by a language model from page content.
Last updated: 24 Jul 2026
Canonical URL: https://pypi.org/project/optitokenize

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