claude-code-wakatime
Provides visibility into time spent on AI-assisted coding, enabling teams to measure productivity impact and identify where Claude Code is most valuable in t…
The WakaTime plugin for Claude Code. It automatically tracks your AI-assisted coding activity — time spent prompting, lines of code generated by AI, and per-project usage — and reports it to your WakaTime dashboard, so you can measure how much time Claude Code work takes and where it adds value.
- Compare coding velocity before and after adopting Claude Code
- Track time allocation across projects using AI assistance
- Identify which coding tasks Claude Code accelerates most
Provides visibility into time spent on AI-assisted coding, enabling teams to measure productivity impact and identify where Claude Code is most valuable in their workflow.
Engineering managers and individual developers who need granular time-tracking data on AI-assisted coding sessions alongside other development activities.
https://github.com/wakatime/claude-code-wakatime
By wakatime
How to Get It
claude plugin marketplace add https://github.com/wakatime/claude-code-wakatime.git claude plugin i claude-code-wakatime@wakatime # then add your WakaTime API key to ~/.wakatime.cfg: # [settings] # api_key = waka_your_key_here
After installing, paste this into Claude:
Help me compare coding velocity before and after adopting Claude Code
Trust Signals Auto-scanned
Community Pulse Growing
Discussed on Reddit
- wakadash — like htop for your coding stats (WakaTime/Wakapi) — Reddit · 37 pts
- What Claude Code "enhancement" are you most proud of that YOU created? — Reddit · 22 pts
- Incompatibility between Cursor and Claude Code + Wakatime - Cursor opening sever — Reddit · 2 pts
3 mentions across 1 sources
Reviewer notes
Auto-scanned review. These are observations, not a security certification.
catalog_hygiene stale-eval refresh: Scored from trust signals (evidence-eval-v1): 88 GitHub stars; 4 contributors; last commit 38d ago; license BSD-3-Clause.
Things to check
- Scanned, not hands-on tested — this entry was auto-scanned from public metadata (GitHub metrics, license, security flags). No reviewer has run it, and no tool-specific limitations have been documented yet.
How to evaluate tools before deploying →
Data shown here comes from public APIs and automated scanning. Reviewer notes reflect one person's experience. This is not a security certification or legal recommendation. Always evaluate tools according to your own organization's policies.
Evaluation
catalog_hygiene stale-eval refresh: Scored from trust signals (evidence-eval-v1): 88 GitHub stars; 4 contributors; last commit 38d ago; license BSD-3-Clause.