Midstalker Analyzer is a Streamlit-based tool for analyzing [TYPE OF DATA — logs, traces, etc.] and extracting structured insights through a simple interface. It is built with a focus on simplicity, local execution, and ease of use, allowing users to work with their data without relying on heavy cloud infrastructure.
The application can be run locally using Docker for full control and performance, or accessed directly through the hosted Streamlit version.
This project was built to avoid limitations of hosted tools such as file size restrictions and slow processing speeds. Running locally ensures better performance and full control over data.
- Interactive interface built with Streamlit
- Local file processing without size limitations (Docker mode)
- Simple and fast setup
- Minimal dependencies and optimized runtime
- Clean and modular codebase
You can run the project in two ways:
- Locally using Docker (recommended)
- Using the hosted web version
Running the application locally removes file size limits and improves performance by using your system resources directly.
- Docker installed on your system
- Git (optional, for cloning the repository)
docker build -t midstalker . docker run -p 8501:8501 midstalker
Clone the repository:
git clone https://github.com/err0rgod/midstalker_analyzer.git
cd midstalker_analyzerBuild the Docker image:
docker build -t midstalker .Run the container:
docker run -p 8501:8501 midstalkerOpen your browser and go to:
http://localhost:8501
If you do not want to set up Docker, you can use the hosted version: The hosted version is suitable for quick testing and small inputs. For larger datasets or better performance, local Docker execution is recommended.
https://mid-stalker-analyzer.streamlit.app
Note: The hosted version may have limitations on file size and processing speed.
app.py main application entry point
utils/ helper modules
requirements.txt dependencies
Dockerfile container setup
To run the project without Docker:
pip install -r requirements.txt
streamlit run app.py- The application is designed to run fully locally when needed
- Docker support ensures consistent environments across systems
- Non-essential files such as notebooks are excluded from production builds
Contributions are welcome. If you find an issue or want to improve the project, feel free to open a pull request or submit an issue.
err0rgod (Nirbhay Katiyar) - Passionate Mechatronics Engineer & Developer practicing secure coding and interconnecting hardware and software.
Focused on secure coding practices. Interests in Electronics , Cybersecurity & Developement. Building Midstalker a MITM framework focuses on enhancing user security and traditional security in Networks.
- GitHub
- Medium
- Weekly Zeroday - A Weekly Newsletter on topics related with Tech.
This project is open-source and available under the MIT License.