{"categories":[{"label":"Software Development","url":"https://skillfed.io/packages/category/software-development/4"},{"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/3"},{"label":"Mathematics","url":"https://skillfed.io/packages/category/scientific-engineering-mathematics"}],"enrichment":{"capability":"PaddleX is a low-code framework for training, inference, and deployment of computer vision and document processing models, integrating pre-trained models across OCR, object detection, image classification, segmentation, and time-series tasks.","skillfed_tags":["computer-vision","ocr","low-code"],"use_cases":["Deploy OCR pipelines (general text, multi-language, formula, seal text recognition) without writing custom model code.","Extract structured information from documents (tables, layouts, key fields) using pre-trained document understanding models.","Build object detection or image classification systems by loading a pre-trained model and calling inference on images or batches.","Perform time-series forecasting, anomaly detection, or classification using unified pipeline APIs.","Export trained models to ONNX format or deploy to edge devices (mobile, embedded) via the framework's deployment tools."],"what_it_does":"PaddleX is a low-code development framework built on PaddlePaddle that bundles pre-trained models and unified inference APIs for computer vision and document processing tasks. It abstracts away model-specific complexity by organizing models into 33 pipelines (e.g., general OCR, document information extraction, object detection, image classification, semantic segmentation, time-series forecasting) and 39 single-function modules, allowing developers to load, run inference, and deploy models with minimal Python code.\n\nThe framework supports training, high-performance inference, service-based deployment, and edge deployment across multiple hardware platforms\u2014NVIDIA GPUs, Kunlun, Ascend, Cambricon, and others. It integrates with AIStudio, ModelScope, and Hugging Face Hub for model hosting and provides both programmatic APIs and a cloud-based graphical interface for end-to-end workflows. Recent releases (v3.2\u2013v3.3) added CUDA 12 support, ONNX export, multi-language OCR models, and fine-grained performance benchmarking.","worth_installing":"Yes, if you need rapid prototyping or production deployment of computer vision or document processing models. The low-code design, broad model library, and multi-hardware support reduce development friction. Active maintenance and zero known vulnerabilities are positive signals. The 18 runtime dependencies are substantial; verify they fit your environment. Apache-2.0 licensing poses no barrier for most use cases."},"id":"paddlex","links":{"html":"https://skillfed.io/packages/paddlex","md":"https://skillfed.io/packages/paddlex.md","pypi":"https://pypi.org/project/paddlex/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-06-25","license_spdx":null,"license_treatment":"permissive","name":"paddlex","python_support":"supports_current","summary":"Low-code development tool based on PaddlePaddle."},"popularity":{"monthly_downloads":2526189,"position":3021,"tier":"top_5000"},"security":{"n_vulnerabilities":0},"version":"3.7.2"}