lmmentel/awesome-time-series

• highabout#1

  Clarify the repository description to emphasize its 'awesome list' nature

  原因：

  当前

  Resources for working with time series and sequence data

  复制粘贴的修复

  复制

  A curated list of awesome resources for working with time series and sequence data, covering libraries, tools, papers, and courses.

  待办完成忽略
• highlicense#2

  Add a LICENSE file and clarify licensing in the README

  原因：

  复制粘贴的修复

  复制

  Add a LICENSE file (e.g., MIT or Apache-2.0) to clarify usage rights for the awesome list itself. Also, add a section to the README clarifying that the licenses of the *listed* resources vary and should be checked individually.

  待办完成忽略
• mediumhomepage#3

  Add a homepage URL to the repository metadata

  原因：

  复制粘贴的修复

  复制

  Set the 'Homepage' URL in the repository settings to `https://github.com/lmmentel/awesome-time-series` (or a dedicated GitHub Pages site if one exists/is created).

  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 the best Python libraries for time series forecasting and anomaly detection?

  你：未被推荐
  AI 推荐顺序：

  1. Prophet
  2. statsmodels
  3. PyFlux
  4. scikit-learn
  5. tsfresh
  6. Pmdarima
  7. ruptures

  AI 推荐了 7 个替代方案，却始终没点名 lmmentel/awesome-time-series。这就是要补上的差距。

  查看 AI 完整回答
• 品类问题

  Where can I find comprehensive resources for sequential data analysis and time series data mining?

  你：未被推荐
  AI 推荐顺序：

  1. Forecasting: Principles and Practice
  2. Time Series Analysis and Its Applications: With R Examples
  3. Coursera Specializations
  4. Practical Time Series Analysis
  5. Time Series Analysis
  6. Kaggle Learn (Time Series Micro-Course)
  7. Applied Time Series Analysis with R
  8. The Elements of Statistical Learning
  9. Deep Learning for Time Series Forecasting

  AI 推荐了 9 个替代方案，却始终没点名 lmmentel/awesome-time-series。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 lmmentel/awesome-time-series?

  pass
  ✓AI 明确点名了 lmmentel/awesome-time-series

  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 lmmentel/awesome-time-series in production, what risks or prerequisites should they evaluate first?

  pass
  ✓AI 明确点名了 lmmentel/awesome-time-series

  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 lmmentel/awesome-time-series solve, and who is the primary audience?

  pass
  ⚠AI 未点名 lmmentel/awesome-time-series —— 很可能在说另一个项目

  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？