Skip to main content

High Performance Redis Timeseries

Project description


A high performance library for storing scalar timeseries data in redis.


To install, simply type:

$ sudo pip install neutrino


Time series are stored as scalar values in bins with a fixed time step. These bins are stored in chunks, and each chunk is stored under a single redis key.

Instead of specifying these parameters for each time series individually, the parameters are specified for a pattern, which is a regular expression. When time series data is later added, the name of each time series is matched to these patterns, and for each match a time series is added.

For example, the rule

>>> ts.add_rule(r'spam.*','f',1,10,100,'avg')

will match any key starting with ‘spam’. Any key matching this pattern will be stored in a time series which will average multiple values in a single bin, with a time step of 1 second, a chunk size of 10, and chunks will expire after 100 seconds.

Project details

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Files for neutrino, version 0.2
Filename, size File type Python version Upload date Hashes
Filename, size neutrino-0.2.tar.gz (5.0 kB) File type Source Python version None Upload date Hashes View

Supported by

AWS AWS Cloud computing Datadog Datadog Monitoring Facebook / Instagram Facebook / Instagram PSF Sponsor Fastly Fastly CDN Google Google Object Storage and Download Analytics Huawei Huawei PSF Sponsor Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Salesforce Salesforce PSF Sponsor Sentry Sentry Error logging StatusPage StatusPage Status page