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Hosted financial and alternative datasets behind one API
What it is
A hosted catalog of financial, economic, and alternative datasets, offered as a REST API with client libraries for Python, R, Excel, and other languages. The official Python client loads time-series datasets and non-time-series tables into pandas DataFrames after an API key is set. Developers and researchers who want one key for that vendor catalog are the audience. Calls without a key are limited, and the figures stay on the hosted service rather than inside an offline library.
At a glance
Worth watchingOur rating, based on popularity, maintenance and how ready it is for real use.
| Best for | Professional quants |
|---|---|
| Used for | Data source, Data analysis |
| Markets | US equities, Multi-market |
| Stack | Python |
| Learning curve | Easy to start |
| Practical value | High practical value |
| Cost | Free, with paid APIs |
| Hardware | No GPU needed |
Financial data API with support for R, Python, Excel, Ruby, and many other languages (formerly Quandl).
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