for PyCharm

Time Tracking
for Python Developers

Track Your PyCharm Coding Time with Precision

CodeClocker integrates seamlessly with PyCharm to automatically track your Python development time. Get detailed insights into your Django, Flask, data science, and machine learning projects.

Get Plugin for Free

Why Python Developers Love CodeClocker

Data Science Projects: Track time spent on Jupyter notebooks, data analysis, and model training in PyCharm.
Django Development: Monitor development time across Django apps, views, and templates.
Flask Applications: Track time on Flask microservices and REST API development.
Machine Learning: See how much time goes into ML model development and experimentation.
Virtual Environments: Works seamlessly across different Python virtual environments.
Script Development: Track time on automation scripts, CLI tools, and utilities.

Features for PyCharm

Activity Dashboard

Get a comprehensive view of your Python coding activity directly in PyCharm. Track daily and weekly progress with visual indicators, monitor time spent per project, and see your Git contributions at a glance.

Real-time coding time tracking
Per-project time breakdown
VCS lines added/removed stats
Daily and weekly trend comparisons

Daily & Weekly Goals

Set personalized coding time goals for your Python projects. Whether you're working on web apps, data pipelines, or ML models, track your progress and build consistent coding habits.

Customizable daily and weekly targets
Progress tracking in status bar widget
Visual progress indicators
Flexible goal configuration

CSV Export for Invoicing

Freelance Python developer or data scientist? Export your coding activity to CSV format for easy invoicing. Generate detailed reports with project names, branches, hours worked, and commit references.

Custom date range selection
Detailed breakdown by project and branch
Perfect for freelancer invoicing
Include commit references for proof of work

Get Started in PyCharm

Install the Plugin

Open PyCharm, go to Settings → Plugins → Marketplace, search for "CodeClocker" and click Install.

Start Coding

The plugin automatically tracks your Python coding time as you work on your Django, Flask, or data science projects.

View Your Stats

Check your daily and weekly progress directly in PyCharm through the status bar widget.

Connect to Hub

Optionally sync with CodeClocker Hub for web-based charts and historical analytics.

Time Tracking for Python Developers