Open-source, local-first AI coding agent usage and cost dashboard for Claude Code, Codex, Cursor, OpenCode, Kiro, and Pi.
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+10
STARS · LAST 30 DAYS
1
PER DAY
#1,375
MOST-STARRED Python
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +7 | +10 | +90 |
| Per day | 1 | 1 | 1 |
| Forks gained | +1 | +3 | +10 |
token-meter gained 10 stars in the last 30 days, about 1 a day, and now has 106. It is about 1 year old and has averaged roughly 106 stars a year. It ranks #1,375 among Python repositories and #10,963 across all languages on GitHubRepo.
Trending Record
3
DAYS ON TRENDING
#9161
BEST RANK
Oct 1, 2026
FIRST APPEARANCE
Active
STATUS TODAY
token-meter has maintained a continuous presence across global trending indexes, peaking at #9161. Below is the 30-day activity profile:
💡 Overview
token-meter is an open-source project written in Python: Open-source, local-first AI coding agent usage and cost dashboard for Claude Code, Codex, Cursor, OpenCode, Kiro, and Pi.
Engineered for speed, consistency, and developer ease, it solves common hurdles in agentic-ai, agents, ai-coding-agents. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.
⚡ Key Features
Optimized execution pipeline written in Python for predictable speed.
Zero-friction configuration with comprehensive sensible defaults out of the box.
Cross-platform runtime support across Linux, macOS, and Windows environments.
Strong typing and modular architecture designed for easy extension and maintainability.
Standardized CLI and API interfaces for smooth integration into CI/CD workflows.
Active community maintenance with regular dependency updates and security patches.
📥 Installation
$ pip install token-meter⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
Python >= 3.9, pip, virtualenv
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
token-meter coordinates its core functionality through a modular Python pipeline. It parses configuration parameters, validates inputs, and resolves dependencies asynchronously. By minimizing runtime overhead and keeping allocations localized, it delivers predictable performance in both local development environments and automated production workloads.
🎯 Production Use Cases
Autonomous AI Agents
Orchestrate intelligent workflows and tool-calling routines with token-meter.
Model Inference & Prompting
Integrate fast, local or cloud-hosted generative AI models directly into production code.
Context Memory & RAG
Augment language models with dynamic vector retrieval and structured project memory.
Developer Productivity
Automate repetitive engineering tasks, code generation, and test creation using AI agents.
🚀 Getting Started
Install token-meter using your package manager: `pip install token-meter`
Initialize your project workspace or configuration file for token-meter.
Import token-meter into your codebase or invoke it directly from your terminal.
Execute your test suite or run `token-meter --help` to verify successful setup.
👍 Strengths
⚠️ Considerations
⇄ Alternatives & Direct Competitors
👥 Who Should Use This
Developers and engineering teams building with Python, seeking reliable, tested, and actively maintained tooling for production workloads.
🏆 Nearby in the Rankings
splunk/token-meter is currently ranked #10,963 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #10,917 | shuheng-mo/career-ops-china | JavaScript | ★ 107 | Compare ↗ |
| #10,917 | VocaHQ/vocamac | Swift | ★ 107 | Compare ↗ |
| #10,917 | DanielLemky/omarchy-iphone-mirror | Python | ★ 107 | Compare ↗ |
| #10,917 | nssmd/RoboRSI | Python | ★ 107 | Compare ↗ |
| #10,917 | egma-ai/jev-code-reviewer | JavaScript | ★ 107 | Compare ↗ |
| #10,963 | splunk/token-meter This Project | Python | ★ 106 | |
| #10,963 | OmniHarness/OmniHarness | Python | ★ 106 | Compare ↗ |
| #10,963 | mike007jd/voxel-musou | JavaScript | ★ 106 | Compare ↗ |
| #10,963 | thomas9120/LLama-GUI | JavaScript | ★ 106 | Compare ↗ |
| #10,963 | ThinkFlowLab/system1-agents | Python | ★ 106 | Compare ↗ |
| #10,963 | DevL0rd/Konveyor | C++ | ★ 106 | Compare ↗ |
Frequently Asked Questions
What does token-meter do? +
Open-source, local-first AI coding agent usage and cost dashboard for Claude Code, Codex, Cursor, OpenCode, Kiro, and Pi.
What language is token-meter written in? +
The primary language is Python. Topics include: agentic-ai, agents, ai-coding-agents, anthropic, claude-code.
Is token-meter actively maintained? +
Yes, the last recorded push was on Oct 1, 2026 with 23 open issues being tracked.
How many stars does token-meter have? +
token-meter has 106 stars and 24 forks on GitHub.
How does token-meter rank among GitHub repositories? +
With 106 stars, splunk/token-meter is ranked #10,963 globally across all repositories tracked on GitHubRepo and #1,375 among Python projects.
What license is token-meter distributed under? +
The repository reports a MIT license. Always verify the repository LICENSE file for legal terms.
