What does tokdash do?

Tokdash focuses on tracking and visualizing token usage and costs for AI coding tools locally. It is catalogued under LLM eval & observability on PulseGate.

Who should use tokdash?

tokdash is an open-source project built for developers using AI coding tools.

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

What platforms does tokdash run on?

tokdash runs on the web and the command line. It can also be self-hosted.

Is tokdash still active?

The GitHub repository shows 59 commits in the last 90 days.

What are alternatives to tokdash?

Similar projects tracked by PulseGate include toktrail, tokmeter, and tokstat.

Who develops tokdash?

tokdash is developed by JingbiaoMei.

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tokdash

Name: tokdash
Author: JingbiaoMei

github.comInfrastructure

Local token & cost dashboard for AI coding tools

Open SourceMITWebCLISelf-hosted

Visit github.com

16stars

5forks

4features

2026since

Overview

4 features

In the LLM eval & observability space, tokdash takes a focused approach. It focuses on tracking and visualizing token usage and costs for AI coding tools locally. tokdash is an open-source project aimed at developers using AI coding tools. tokdash is open source under the MIT license. It ships for the web and the command line, and it can be self-hosted.

It is developed by JingbiaoMei, and it first shipped in 2026. Development happens publicly on GitHub with 16 stars and 59 commits in the last 90 days. Key capabilities include token tracking, cost dashboard, and local monitoring.

Token tracking
Cost dashboard
Local monitoring
AI tool integration

Built with & integrations

Framework

FastAPI

Runs on

BrowserCLISelf-hosted

Trust & compliance

License

MIT

Verified signals

HTTPSOpen SourceFree tierGitHub · ★ 16Active maintenance

Indexing history

What PulseGate has recorded for this listing

Indexed16 Jun · 00:20 UTC
Listing verified against its public source
Source: PulseGate · Open

Frequently asked questions about tokdash

What does tokdash do?: Tokdash focuses on tracking and visualizing token usage and costs for AI coding tools locally. It is catalogued under LLM eval & observability on PulseGate.
Who should use tokdash?: tokdash is an open-source project built for developers using AI coding tools.
Is tokdash free?: Yes — tokdash is open source under the MIT license and free to use.
What platforms does tokdash run on?: tokdash runs on the web and the command line. It can also be self-hosted.
Is tokdash still active?: The GitHub repository shows 59 commits in the last 90 days.
What are alternatives to tokdash?: Similar projects tracked by PulseGate include toktrail, tokmeter, and tokstat.toktrail tokmeter tokstat
Who develops tokdash?: tokdash is developed by JingbiaoMei.
How long has tokdash been around?: tokdash first shipped in 2026.

At a glance

Platforms: Cli
Languages: English
Open source: Yes · ★ 16
License: MIT
Built for: developers using AI coding tools
Model: Open source
Solves: Tracking and visualizing token usage and costs for AI coding tools locally.

Registered as

GitHub: JingbiaoMei/tokdash
PyPI: tokdash

Developer

JingbiaoMei

Small team

GitHub

Open source

View on GitHub

Stars: 16
Forks: 5
Open issues: 0
Last commit: 12 Jun 2026
Commits 90d: 59
Contributors: 4
Authorship: Small team
Default branch: main
Latest release: v0.5.7 · 12 Jun 2026

Index record

Identity confidence: Medium · 77.4
Indexed: 16 Jun 2026
Lifecycle: Alive
Last seen: 16 Jun 2026

Identity audit (12)

Slug: tokdash-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: 16 Jun 2026
Timeline basis: Indexed-at chronology. This listing's first-seen date was written by the catalog backfill, not observed here, so it is not treated as a sighting.
Name from: Written by a language model from the project's public pages.
Category from: Assigned by the 2026 taxonomy migration.
Summary from: Taken from the package registry entry.
Languages from: Detected by a language model from page content.
Canonical URL: https://github.com/JingbiaoMei/tokdash

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