PaddlePaddle/PaddleTS

• highreadme#1

  Make the primary README.md content English

  原因：

  当前

  The main content of README.md is in Chinese, with a link to README_en.md.

  复制粘贴的修复

  复制

  Rename README_en.md to README.md and ensure the primary content of README.md is in English. If a Chinese version is desired, move the current Chinese content to README_zh.md and link to it from the English README.md.

  待办完成忽略
• mediumhomepage#2

  Add a project homepage URL

  原因：

  复制粘贴的修复

  复制

  Add a relevant URL (e.g., official documentation, project website, or a demo page) to the repository's homepage field.

  待办完成忽略
• mediumreadme#3

  Strengthen emphasis on SOTA models and AutoTS in the README's opening

  原因：

  当前

  (Assuming English translation of current opening) "PaddleTS is an easy-to-use deep time series modeling Python library, based on the PaddlePaddle deep learning framework, focusing on industry-leading deep models, aiming to provide scalable time series modeling capabilities and convenient user experience for domain experts and industry users."

  复制粘贴的修复

  复制

  Revise the opening paragraph of the README to explicitly highlight its focus on 'state-of-the-art deep models' and 'automatic model tuning (AutoTS)' early on. For example: 'PaddleTS is a comprehensive and easy-to-use Python library for deep time series modeling, built on the PaddlePaddle framework. It provides state-of-the-art deep learning models for forecasting, anomaly detection, and representation learning, alongside powerful automatic model tuning (AutoTS) capabilities, offering scalable solutions for domain experts and industry users.'

  待办完成忽略

本次扫描解析到的品类 GEO 通道：google/gemini-2.5-flash, deepseek/deepseek-v4-flash

• 品类问题

  What are good deep learning libraries for time series forecasting and anomaly detection?

  你：未被推荐
  AI 推荐顺序：

  1. PyTorch Forecasting
  2. TensorFlow Probability
  3. Darts
  4. GluonTS
  5. Keras
  6. PyTorch
  7. Prophet

  AI 推荐了 7 个替代方案，却始终没点名 PaddlePaddle/PaddleTS。这就是要补上的差距。

  查看 AI 完整回答
• 品类问题

  How can I implement state-of-the-art deep time series models with automatic tuning?

  你：未被推荐
  AI 推荐顺序：

  1. Google Cloud Vertex AI
  2. Amazon Forecast
  3. H2O.ai H2O Driverless AI
  4. PyTorch Forecasting (jdb78/pytorch-forecasting)
  5. Optuna (optuna/optuna)
  6. Ray Tune (ray-project/ray)
  7. TensorFlow Probability (tensorflow/probability)
  8. Keras Tuner (keras-team/keras-tuner)
  9. Hyperopt (hyperopt/hyperopt)
  10. AutoGluon (awslabs/autogluon)

  AI 推荐了 10 个替代方案，却始终没点名 PaddlePaddle/PaddleTS。这就是要补上的差距。

  查看 AI 完整回答

• Metadata completeness

  warn

  建议：

• README presence

  pass

• Compared to common alternatives in this category, what is the core differentiator of PaddlePaddle/PaddleTS?

  pass
  ✓AI 明确点名了 PaddlePaddle/PaddleTS

  AI 的回答可能信誓旦旦却是错的。请按事实核对：技术栈、目标人群、差异化点是不是和你实际的对得上？

• If a team adopts PaddlePaddle/PaddleTS in production, what risks or prerequisites should they evaluate first?

  pass
  ✓AI 明确点名了 PaddlePaddle/PaddleTS

  AI 的回答可能信誓旦旦却是错的。请按事实核对：技术栈、目标人群、差异化点是不是和你实际的对得上？

• In one sentence, what problem does the repo PaddlePaddle/PaddleTS solve, and who is the primary audience?

  pass
  ✓AI 明确点名了 PaddlePaddle/PaddleTS

  AI 的回答可能信誓旦旦却是错的。请按事实核对：技术栈、目标人群、差异化点是不是和你实际的对得上？