Welcome to the world of PLynx, a powerful tool designed to manage reproducible experiments and data-oriented workflows. In this blog, we will walk you through the steps to get started with PLynx, covering installation, configuration, and troubleshooting tips.

Features of PLynx

PLynx boasts an array of features that make it a user-friendly and versatile platform:

• Workflow Editor: An interactive user interface that allows you to clone successful experiments and manage their history for reproducibility.
• Operations Editor: Customize your operations or reuse existing ones independently of the platform.
• Progress Monitoring: Track the progress of your experiments and inspect the results of intermediate operations.
• Results Preview: View results directly in your browser.
• Scalable Architecture: Based on a scalable pub-sub model, each worker performs tasks independently and can return subtasks to a queue.

System Requirements

To use PLynx, ensure that you have the following:

• Python 3 for plugins.
• React for the user interface.
• MongoDB as the primary metadata storage.
• Docker installed for simplified execution and cluster management. Get started with Docker

Getting Started

Here are the simple steps to set up PLynx on your local machine:

git clone https://github.com/plynx-team/plynx.git   # Clone the repo
cd plynx
cp template_config.yaml config.yaml                 # Make a copy of a config
make up                                             # to start production services

After executing the commands, you can access the PLynx services at http://localhost:3001. By default, this will start the following services:

• MongoDB instance
• PLynx User Interface
• Backend services
• Several workers

Additional Make Commands

For further operations, you can use these make commands:

• make build – to build all Docker images.
• make run_tests – to build Docker images and run tests.
• make dev – to run the developer version of PLynx.

Configuration Tips

Most parameters can be set via command line during service calls. However, it is recommended to store configurations in a separate file. The location of the PLynx config can be set in the environment variable PLYNX_CONFIG_PATH, with a default value of .config.yaml.

Troubleshooting

If you encounter issues while setting up or running PLynx, consider the following troubleshooting tips:

• Ensure all dependencies are correctly installed, specifically Docker and MongoDB.
• Check your configuration file for syntax errors or incorrect paths.
• Use the command plynx exec --help for guidance on executing PLynx commands effectively.
• If you experience persistent problems, feel free to consult the Documentation for detailed insights.

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Conclusion

At fxis.ai, we believe that such advancements are crucial for the future of AI, as they enable more comprehensive and effective solutions. Our team is continually exploring new methodologies to push the envelope in artificial intelligence, ensuring that our clients benefit from the latest technological innovations.