CodeChrono is an open-source, advanced coding time tracker. It is designed to help developers gain deeper insights into their coding habits and optimize their workflow. By monitoring file changes in real time, CodeChrono provides detailed reports that can enhance time management and productivity.
🔧 Key Features
Real-time Monitoring: Utilizes the
watchdog
library to track coding activity as it happens.Interactive CLI: Employs the
rich
library to present visually appealing and interactive command-line interfaces.Detailed Reports: Generates summaries of coding activity on a daily, weekly, and project-specific basis.
Multithreaded Performance: Ensures smooth operation without blocking other processes.
JSON-based Storage: Stores and retrieves data in JSON format for easy access and manipulation.([Earth Data Science - Earth Lab][1])
🚀 Getting Started
To install and start using CodeChrono:
- Clone the Repository:
git clone https://github.com/makalin/CodeChrono.git cd CodeChrono
- Install Dependencies:
pip install -r requirements.txt
- Run CodeChrono:
python codechrono.py
Once running, CodeChrono will monitor your coding activity and provide insightful reports to help you understand and improve your workflow.
🌟 Why Use CodeChrono?
In the realm of software development, understanding how time is spent across various projects is crucial. CodeChrono offers a lightweight and efficient solution to monitor and analyze coding time without the need for intrusive tools or complex setups. Its real-time tracking and detailed reporting empower developers to make informed decisions about their work habits and project management.
📢 Get Involved
CodeChrono is an open-source project, and contributions are welcome! Whether you're interested in adding new features, fixing bugs, or improving documentation, your input can help enhance the tool for the developer community.
Explore the project on GitHub: https://github.com/makalin/CodeChrono
By integrating CodeChrono into your development workflow, you can gain valuable insights into your coding patterns and take proactive steps towards greater productivity and efficiency.
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