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Arctic TimeSeries and Tick store

High performance datastore for time series and tick data

...Serializes a number of data types eg. Pandas DataFrames, Numpy arrays, Python objects via pickling etc. so you don't have to handle different datatypes manually. Uses LZ4 compression by default on the client side to get big savings on network / disk. Allows you to version different stages of an object and snapshot the state (In some ways similar to git), and allows you to freely experiment and then just revert back the snapshot. [VersionStore only] Does the chunking (breaking a Dataframe to smaller part for you. ...

Downloads: 0 This Week

Last Update: 2024-02-01
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