Install Now
How to install Datalux/Osintgram. Official installation instructions. Project installation guide. Framework or library installation. Build installation instructions. How to setup and install from GitHub. Installation steps and setup instructions. Official docs and installation instructions GitHub.
Datalux/Osintgram Installation Guide
How to install Datalux/Osintgram. Official project installation instructions and setup guide.
⚡
Automated Install (Recommended)
Quick installation instructions for Datalux/Osintgram. This is the fastest way to complete project installation and setup.
Install via curl
curl -fsSL https://hexmos.com/ipm-install | bash &&
ipm i Datalux/Osintgramor
Install via npx
npx @hexmos/ipm i Datalux/OsintgramPrerequisites
Python 3.8 or higher
languageVersion: 3.8.0 or later (e.g., 3.9.12, 3.10.15)
pip
package_managerVersion: 20.x
Docker
system_toolVersion: 19.x
Git
system_toolVersion: 2.30.1
Manual Installation Methods
Manual installation instructions. How to install from GitHub source.
Source Code Installation
git clone https://github.com/Datalux/Osintgram.git
cd Osintgram
python3 -m venv venv
source venv/bin/activate
pip install -r requirements.txt
python3 main.py <target username>Docker Installation
docker build -t osintgram .
docker run --rm -it -v "$PWD/output:/home/osintgram/output" osintgram <target>Package Manager Installation
pip install -r requirements.txt
python3 main.py <target username>Makefile Installation
make setup
make runPost Installation Steps
- Open your terminal and navigate to the directory where you cloned the repository.
- Run the following command to start the server: `python3 main.py <target username>`
- You can also run the command with a specific target using the `-c` flag, for example: `python3 main.py -c 'get_info <target username> --command get_info'`
- If you want to use HikerAPI token, set your environment variable `HIKERAPI_TOKEN=<your_token>` and run the command: `python3 main.py <target username> -c 'run_command <command> '`
- You can also use Docker to run the application: `docker-compose up -d`.