A privacy-first interactive terminal habit tracker with ANSI contribution heatmaps.
Project description
HabitFlow (PyPI Edition)
HabitFlow is a privacy-first interactive terminal habit tracker featuring ANSI-colored contribution heatmaps and local-first data persistence.
Designed and developed by Rajnish Singh.
Installation
You can install HabitFlow directly from PyPI using:
pip install habitflow
Note: Requires macOS and Command Line Developer Tools installed (compiled natively on your Mac).
Running the App
After installation, run the application from anywhere in your shell by simply typing:
habitflow
Features
- Dashboard & Heatmap: View a 12-week GitHub-style activity contribution graph natively colored in your terminal.
- Easy Check-in: Mark habits complete and log journal notes.
- Custom Schedule: Daily, Alternate Days, or Custom Weekday checklists.
- CSV Data Exporter: Export habit histories instantly to CSV.
License
This project is licensed under the MIT License.
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file habitflow-1.0.0.tar.gz.
File metadata
- Download URL: habitflow-1.0.0.tar.gz
- Upload date:
- Size: 7.9 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.14.3
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
817fc3633d6340873529bbed049dda6b85412693906476214fc42cb3d922607e
|
|
| MD5 |
80924aecfbb035dacd412c322939620f
|
|
| BLAKE2b-256 |
d810cea284a2f031210fc91c58c8bde99746a48bdc11b553cac05abb19489ee7
|
File details
Details for the file habitflow-1.0.0-py3-none-any.whl.
File metadata
- Download URL: habitflow-1.0.0-py3-none-any.whl
- Upload date:
- Size: 8.0 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.14.3
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
a73750227ff54ee8001d79860ed6c8e8d62e57e8b987101b491c1aa52a8518d5
|
|
| MD5 |
076aa564187206a7d402bcb0e1d5d909
|
|
| BLAKE2b-256 |
67664b30e8b799ff68c61cf50c13c90c36092f22af3ed2f1792f47748a76cc8c
|
