pptrend

A zero-dependency command-line tool to track and visualize PyPI package download trends directly in your terminal.

✨ Features

• Zero Dependencies: Built entirely with Python standard libraries. No pip install required for dependencies.
• Adaptive ASCII Charts: Automatically adjusts the chart granularity (daily, weekly, monthly, or yearly) based on the data range.
• Smart Caching: Stores data locally to minimize API calls. Skips network requests if data is recent.
• Cross-Platform: Works on macOS, Linux, and Windows.

📡 Data Source & Limitations

• Primary Source: PePy.tech API.
• Fallback Source: PyPIStats.org API (used if PePy is unavailable).
• Data Range: APIs provide statistics for the last 180 days. However, pptrend stores data locally, allowing you to build a historical record that extends far beyond 180 days by running the tool periodically.
• Data Continuity: If a package hasn't been updated in the database for more than 180 days, its historical data is considered "disconnected" and can no longer be extended.
• Accuracy: Download counts are aggregated from PyPI statistics. Note that these figures may include automated systems (like CI/CD pipelines) and might not represent unique human users.

🚀 Installation

Option 1: Using uv (Recommended)

First, install uv:

curl -LsSf https://astral.sh/uv/install.sh | sh

Then, choose one of the following ways to run pptrend:

A. Run directly with uvx (No installation required):

uvx pptrend requests

B. Install permanently with uv tool:

uv tool install pptrend
pptrend requests

Option 2: Using pipx

pipx installs the tool in an isolated virtual environment, keeping your system clean.

pipx install pptrend
pptrend requests

Option 3: Manual Install

Download pptrend.py and run it directly:

./pptrend.py <package_name>

📖 Usage

Track the download history of any PyPI package:

pptrend requests
pptrend flask
pptrend numpy

Check version:

pptrend --version

Clean disconnected data: If a package hasn't been tracked for over 180 days, its history can no longer be extended. Use this command to automatically scan and remove such stale records for all packages:

pptrend --clean

📊 Example Output

requests - Week view (180 days of data)
======================================================================
10-13 │                                             │   180.4M
10-20 │██████████████████████████████████████       │   306.2M
...
04-06 │█████████████████████████████████████████████│   326.7M
======================================================================
Total records: 180 | Periods shown: 26 weeks
Min: 178,740,886 | Max: 326,665,297 | Avg: 247,929,848

⚙️ Data Storage

pptrend stores its database in the standard application data directory for your OS:

• macOS: ~/Library/Application Support/pptrend/pptrend.db
• Linux: ~/.local/share/pptrend/pptrend.db
• Windows: %APPDATA%\pptrend\pptrend.db

🛠️ Development

To run the script from source using uv:

git clone https://github.com/cphotor/pptrend.git
cd pptrend
uv run pptrend.py requests

📄 License

MIT License