Download CIB Mango Tree

Get CIB Mango Tree running on your machine in minutes. Our tools run locally, ensuring your data stays private and secure.

Choose Your Platform

For Windows 10 and later

Windows 10+ • 64-bit

Download cibmangotree_windows.exe 132 MB

For Intel-based Macs

macOS 10.15+ • Intel processor

Download cibmangotree_macos-x86.pkg 130 MB

For M1/M2/M3 Macs

macOS 11+ • Apple M-series chip

Download cibmangotree_macos-arm64.pkg 120 MB

All downloads include the full CIB Mango Tree CLI with all detection modules.

python -m venv venv

./bootstrap.sh

For Python developers. Requires Python 3.12 or higher.

git clone https://github.com/civictechdc/cib-mango-tree.git

For contributors. Get the latest development version.

Before running analysis, you'll need to prepare your social media dataset. Follow these steps:

Export social media data from platforms like Twitter/X, Facebook, or use datasets from academic sources.

Ensure your data is in CSV format with columns for: user_id, username, post_content, timestamp, and engagement_metrics.

Remove duplicates, handle missing values, and ensure text encoding is UTF-8 for consistent analysis.

Use the CLI to run detection tests on your prepared dataset. Start with the copypasta test for quick results.

user_id,username,post_content,timestamp,retweets,likes
12345,@example_user,"Sample post content here",2025-01-15T10:30:00Z,5,12

An interactive command-line interface for analyzing social media datasets

Detailed API reference, advanced configuration, and integration guides.

Check our documentation or reach out to the community