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burn-o-meter

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

burn-o-meter is an open-source, local-first utility for monitoring AI coding-agent usage, costs, token consumption, and quotas. It is intended for developers using tools and models such as Claude Code, Codex, Ollama, and OpenAI-compatible services.

Inferred · not functionally tested

Open SourceMITCLImacOSWindowsLinuxSelf-hosted
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Overview

6 features

Purpose: Tracking AI coding-agent usage, costs, token consumption, and rate limits across tools.

Inferred · not functionally tested

Audience: developers using AI coding agents

Inferred · not functionally tested

Functions: analytics, monitoring

Inferred · not functionally tested

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, macos, windows, linux, self_hosted

Constraint provenance is unknown; confirm requirements with the publisher.

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

burn-o-meter sits in PulseGate's CLI tools & terminal category. Inferred · not functionally tested: It focuses on tracking AI coding-agent usage, costs, token consumption, and rate limits across tools. Inferred · not functionally tested: It is built as an open-source project for developers using AI coding agents. Basis unknown · not verified: The project is open source (MIT). Basis unknown · not verified: It ships for the command line, macOS, Windows, and Linux, and it can be self-hosted.

burn-o-meter first shipped in 2026. Inferred · not functionally tested: Key capabilities include usage tracking, cost monitoring, and quota tracking.

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

Tasks: Inferred · not functionally tested

  • Usage tracking
  • Cost monitoring
  • Quota tracking
  • Token tracking
  • Rate-limit monitoring
  • Local-first operation

Topics: Inferred · not functionally tested

Tags
ai-usage-metercoding-agent-coststoken-trackingquota-monitoringlocal-first
AI capabilities
Structured
Inference: Local

JSON profile · Text profile · Access guide

Built with & integrations

AI providers
multiple
Runs on
CLImacOSWindowsLinuxSelf-hosted

Trust & compliance

License
MIT
Public signals
HTTPSOpen SourceFree tier

Indexing history

2

What PulseGate has recorded for this listing

  1. Indexed2 Oct · 08:29 UTC
    burn-o-meter seen via PyPI Fresh Feed
    Source: PyPI Fresh Feed · Open
  2. Indexed28 Sep · 21:43 UTC
    burn-o-meter seen via PyPI Bulk Enumerator
    Source: PyPI Bulk Enumerator · Open

Frequently asked questions about burn-o-meter

What does burn-o-meter do?
Inferred · not functionally tested: Burn-o-meter focuses on tracking AI coding-agent usage, costs, token consumption, and rate limits across tools. It is catalogued under CLI tools & terminal on PulseGate.
Who should use burn-o-meter?
Inferred · not functionally tested: burn-o-meter is an open-source project built for developers using AI coding agents.
Is burn-o-meter free?
Basis unknown · not verified: Yes — burn-o-meter is open source under the MIT license and free to use.
What platforms does burn-o-meter run on?
Basis unknown · not verified: burn-o-meter runs on the command line, macOS, Windows, and Linux. It can also be self-hosted.
Is burn-o-meter still active?
PulseGate's liveness check found it on 28 Sep 2026.
What projects are similar to burn-o-meter?
Similar projects tracked by PulseGate include BurnRate, agentburn, and agentburn.BurnRateagentburnagentburn
When did burn-o-meter launch?
burn-o-meter first shipped in 2026.
Is burn-o-meter open source?
Basis unknown · not verified: Yes — burn-o-meter is open source under the MIT license.

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