prune: sweep Data Ingestion / ETL to the shortlist cap

Per ADR-0001, maintainer-adjudicated at the Data & Science preview
review (2026-08-15, all rows live-verified). General keeps dlt (sole
entry). Financial Data keeps akshare and yfinance as Obvious Choices
with edgartools and openbb as Challengers (openbb on the platform
judgment: 71.9K stars against 132K pip installs).

Removed (downloads are PyPI last-30-days via BigQuery, 2026-08-15):

- lumibot (168.2K/month): algorithmic trading and backtesting framework
  with broker execution — not financial data; vertical app
  (TradingAgents precedent)

Co-Authored-By: Claude <noreply@anthropic.com>
This commit is contained in:
Vinta Chen
2026-08-15 23:57:55 +08:00
co-authored by Claude
parent 1463ba8286
commit 54c0c0c34a
+2 -3
View File
@@ -493,10 +493,9 @@ _Libraries for data extraction, transformation, and loading pipelines across mul
- [dlt](https://github.com/dlt-hub/dlt) - A Python library for building data pipelines with automatic schema inference, incremental loading, and support for multiple sources and destinations.
- Financial Data
- [akshare](https://github.com/akfamily/akshare) - A financial data interface library, built for human beings!
- [edgartools](https://github.com/dgunning/edgartools) - Library for downloading structured data from SEC EDGAR filings and XBRL financial statements.
- [lumibot](https://github.com/Lumiwealth/lumibot) - Algorithmic trading framework for backtesting and live deployment across stocks, options, crypto, futures, and forex.
- [openbb](https://github.com/OpenBB-finance/OpenBB) - A financial data platform for analysts, quants and AI agents.
- [yfinance](https://github.com/ranaroussi/yfinance) - Easy Pythonic way to download market and financial data from Yahoo Finance.
- [edgartools](https://github.com/dgunning/edgartools) - Library for downloading structured data from SEC EDGAR filings and XBRL financial statements.
- [openbb](https://github.com/OpenBB-finance/OpenBB) - A financial data platform for analysts, quants and AI agents.
### Data Validation