VizhPort is a Python program that allows users to monitor the serial port with a graphical display using Pygtgraph. It provides a wide selection of baud rates and available ports, giving users flexibility in connecting and monitoring their devices. The program utilizes Pygtgraph's rich features to enable users to customize their display according to their requirements.
VizhPort offers the following features to enhance the monitoring experience:
- Real-time monitoring of the serial port with a customizable display.
- Supports a wide range of baud rates for compatibility with various devices.
- Allows users to choose from available ports for seamless connection.
- Customizable graph display options using the pygtgraph library.
- Adjust visible X and Y axes to focus on specific data ranges.
- Transform the data for different perspectives.
- Downsample data for improved performance with large datasets.
- Import recorded data from CSV files for analysis or further processing.
- Export data as image files (PNG, JPG, or SVG) for sharing or documentation.
- Visualize data in a matplotlib window for more advanced plotting capabilities.
To use VizhPort, follow these steps:
-
Clone the repository and install the required Python modules to your local machine using the following command.
git clone https://github.com/nthnn/VizhPort.git cd VizhPort scripts/module_installer.bat -
After successful cloning of repository and installation of required modules, the "main.pyw" can now be run. Or you can also run the "build_installer.bat" to build a launcher with PyInstaller.
Upon launching VizhPort, you will be presented with a user-friendly interface to monitor the serial port data.
- Use the dropdown menus to select the desired baud rate and available serial port.
- If there are expected changes on the serial communication ports, click the refresh button.
- Utilize the transformation options to manipulate the displayed data according to your requirements by right clicking the line graph.
- The buttons start or stop are at the bottom of the window, these button are used for visualizing the integral data from the selected serial communication port. The recorded data can be exported in various formats, by right clicking on the line graph.
VizhPort demonstration with the export tool window.
VizhPort on launch.
First and foremost, in the realm of firmware development, efficient serial port monitoring is essential for ensuring the smooth functioning and debugging of devices such as Espressif and Arduino boards. Recognizing this need, this Python program called VizhPort has been developed, offering a comprehensive solution for monitoring serial ports with a visually appealing display powered by pygtgraph.
VizhPort caters to the diverse needs of firmware developers by providing a wide selection of baud rates. Whether you're working with a low-speed communication protocol or a high-speed data transfer, VizhPort can adapt to your specific requirements. Moreover, the program allows users to choose from a range of available ports, facilitating seamless connectivity and enabling efficient monitoring across different devices.
One of the standout features of VizhPort is its usage of pygtgraph, a powerful graphing library in Python. This integration empowers users with a host of visualization options, enhancing the understanding and analysis of the monitored data. Users can effortlessly show or hide grids, adjust the visibility of X and Y axis, and apply various transformations to the displayed data. This level of customization ensures that users can focus on the specific aspects of the serial data that are crucial for their firmware development process.
Moreover, VizhPort recognizes that serial data can often be overwhelming due to its high volume. To address this challenge, the program incorporates downsampling techniques, which reduce the data points while preserving important trends and patterns. By providing a streamlined representation of the data, VizhPort allows firmware developers to efficiently analyze the monitored serial data without being overwhelmed by unnecessary details. Additionally, the ability to transform the data further enriches the analysis process, enabling users to identify hidden correlations and make informed decisions based on their findings.
To foster collaboration and enable further analysis, VizhPort offers multiple options for importing recorded data. Users can seamlessly import data in CSV format, facilitating integration with other data analysis tools. Moreover, the program provides the flexibility to export the monitored data as image files (PNG, JPG, or SVG), enabling easy sharing and documentation of findings. Additionally, VizhPort allows users to open the recorded data in a matplotlib window, further expanding the range of analytical possibilities and catering to individual preferences.
VizhPort is specifically designed with Arduino firmware developers in mind. The program's intuitive interface and extensive feature set cater to the unique challenges and requirements of working with Arduino boards. By providing a comprehensive monitoring and analysis tool, VizhPort empowers firmware developers to efficiently debug, fine-tune, and optimize their Arduino-based projects, ultimately leading to improved firmware performance and a streamlined development process.
Copyright 2023 - Nathanne Isip
Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the “Software”), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED “AS IS”, WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.