arctic
High performance datastore for time series and tick data
High performance datastore for time series and tick data
To install this package, run one of the following:
Arctic is a high performance datastore for numeric data. It supports Pandas, numpy arrays and pickled objects out-of-the-box, with pluggable support for other data types and optional versioning.
Arctic can query millions of rows per second per client, achieves ~10x compression on network bandwidth, ~10x compression on disk, and scales to hundreds of millions of rows per second per MongoDB instance.
Arctic has been under active development at Man AHL since 2012.
Summary
High performance datastore for time series and tick data
Last Updated
Feb 15, 2024 at 20:53
License
LGPL-2.1-only
Total Downloads
44.1K
Supported Platforms
GitHub Repository
https://github.com/manahl/arcticDocumentation
https://arctic.readthedocs.io/en/latest/