{"categories":[{"label":"Artificial Intelligence","url":"https://skillfed.io/packages/category/scientific-engineering-artificial-intelligence/9"}],"enrichment":{"capability":"Parses TensorFlow Lite (*.tflite) model files and provides a Python API to inspect their structure, operators, and metadata.","skillfed_tags":["model-inspection","tensorflow-lite"],"use_cases":["Inspect the operator graph and layer structure of a compiled TFLite model for debugging.","Validate that a TFLite model contains expected operators before deployment.","Extract metadata and tensor information from .tflite files for analysis pipelines.","Programmatically check operator compatibility when managing model versioning."],"what_it_does":"The tflite package provides a Python interface to read and inspect TensorFlow Lite model files. It wraps the FlatBuffers schema definitions that TFLite uses internally, allowing you to programmatically examine model structure, operators, tensors, and other metadata. The package includes convenience helpers like opcode-to-name mapping and compatibility fixes for API changes across versions.\n\nYou install it alongside a matching TensorFlow version, then import tflite and use its classes to load and traverse a .tflite model file. It depends on flatbuffers and numpy for deserialization and numerical operations. The package is intended for developers who need to analyze or validate TFLite models programmatically rather than run inference on them.","worth_installing":"No. The repository is archived and abandoned with no active maintenance. While install friction is low and licensing is permissive, relying on it carries risk: schema definitions may become out of sync with current TFLite versions, and no one will fix compatibility issues. Use only if locked to an older TensorFlow version and need to inspect legacy models."},"id":"tflite","links":{"html":"https://skillfed.io/packages/tflite","md":"https://skillfed.io/packages/tflite.md","pypi":"https://pypi.org/project/tflite/"},"maintenance":{"status":"abandoned"},"meta":{"latest_release":"2025-01-28","license_spdx":null,"license_treatment":"permissive","name":"tflite","python_support":"supports_current","summary":"Parsing TensorFlow Lite Models (*.tflite) Easily"},"popularity":{"monthly_downloads":123332,"position":11912,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"2.18.0"}