PaddlePaddle/PaddleX

Health v2 · maintenance only

Adoption not part of the score

6251 stars · 1217 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

PaddleX is a low-code, all-in-one AI development tool built on the PaddlePaddle framework, bundling 200+ pretrained models into 33 production-ready pipelines covering OCR, object detection, image classification, segmentation, time-series forecasting, and document understanding. It supports the full workflow from training to high-performance inference and service-oriented deployment across diverse hardware including NVIDIA GPUs, Ascend, Cambricon, and Kunlun chips.

Use cases

• run ocr on scanned documents
• convert pdf to markdown
• train an object detection model
• deploy a pretrained model as an api service
• forecast time series with pretrained models
• extract tables and layout from documents
• recognize formulas in images
• run speech recognition on audio

When to choose

• you want out-of-the-box pretrained models with a simple Python API
• you need end-to-end pipelines from training to deployment on PaddlePaddle
• you must support Chinese domestic hardware like Ascend or Kunlun
• you need document intelligence features like OCR, layout analysis, and PDF parsing

When to avoid

• you are committed to PyTorch or TensorFlow ecosystems
• you need to train custom architectures from scratch rather than fine-tune
• you want a lightweight single-purpose library instead of a full toolkit

Facets

library · maturity active

machine-learning ocr computer-vision speech-recognition llm-inference deployment data-science image-processing pdf machine-learning deep-learning computer-vision developer-tools artificial-intelligence windows python cross-platform low-code pretrained-models paddlepaddle model-pipelines inference object-detection time-series document-parsing model-training natural-language-processing linux macos gpu docker

Member repositories

For agents

markdown · JSON · MCP: product_card(name="PaddlePaddle/PaddleX")