{"categories":[{"label":"Software Development","url":"https://skillfed.io/packages/category/software-development/3"},{"label":"Libraries","url":"https://skillfed.io/packages/category/software-development-libraries/3"},{"label":"Scientific/Engineering","url":"https://skillfed.io/packages/category/scientific-engineering/2"},{"label":"Python Modules","url":"https://skillfed.io/packages/category/software-development-libraries-python-modules/5"},{"label":"Artificial Intelligence","url":"https://skillfed.io/packages/category/scientific-engineering-artificial-intelligence/2"},{"label":"Mathematics","url":"https://skillfed.io/packages/category/scientific-engineering-mathematics"}],"enrichment":{"capability":"Converts TensorFlow models to TensorFlow.js format for browser and Node.js deployment, with CLI tools and a wizard for model conversion workflows.","skillfed_tags":["model-conversion","tensorflow-deployment","javascript-ml"],"use_cases":["Convert a trained TensorFlow SavedModel to TensorFlow.js format for inference in a web browser.","Deploy a Keras model to a Node.js server using the converted TensorFlow.js format.","Automate model conversion workflows with the tensorflowjs_converter CLI in a build pipeline.","Use the interactive wizard to guide non-technical team members through model conversion without writing code.","Integrate TensorFlow model serving into a full-stack JavaScript application by converting and bundling models."],"what_it_does":"tensorflowjs is a Python package that bridges TensorFlow models and TensorFlow.js, the JavaScript machine-learning library. It provides command-line tools and a Python API to convert TensorFlow SavedModels and other formats into a format that TensorFlow.js can load and run in browsers or Node.js environments. The package includes a CLI converter (tensorflowjs_converter) and an interactive wizard (tensorflowjs_wizard) to guide users through the conversion process.\n\nThe package depends on a large stack of machine-learning libraries\u2014tensorflow, tf-keras, jax, jaxlib, flax, and tensorflow-decision-forests\u2014making it a heavy install. It is intended for developers and researchers who need to deploy trained TensorFlow models to web or JavaScript environments. The dormant maintenance status (no release in 662 days) suggests the package may not be actively developed, though the conversion logic itself may be stable enough for existing workflows.","worth_installing":"Yes, if you need to deploy TensorFlow models to JavaScript environments and can tolerate dormant maintenance. The low install friction and permissive license are favorable, but the 662-day gap since the last release and lack of repository metadata raise questions about active support. Verify compatibility with your TensorFlow and TensorFlow.js versions before committing to production use."},"id":"tensorflowjs","links":{"html":"https://skillfed.io/packages/tensorflowjs","md":"https://skillfed.io/packages/tensorflowjs.md","pypi":"https://pypi.org/project/tensorflowjs/"},"maintenance":{"status":"dormant"},"meta":{"latest_release":"2024-10-21","license_spdx":null,"license_treatment":"permissive","name":"tensorflowjs","python_support":"unspecified","summary":null},"popularity":{"monthly_downloads":3979871,"position":2431,"tier":"top_5000"},"security":{"n_vulnerabilities":0},"version":"4.22.0"}