Skip to main content

Metric as a Service

Project description

https://badge.fury.io/py/gnocchi.svg doc/source/_static/gnocchi-logo.png

Gnocchi is an open-source time series database.

The problem that Gnocchi solves is the storage and indexing of time series data and resources at a large scale. This is useful in modern cloud platforms which are not only huge but also are dynamic and potentially multi-tenant. Gnocchi takes all of that into account.

Gnocchi has been designed to handle large amounts of aggregates being stored while being performant, scalable and fault-tolerant. While doing this, the goal was to be sure to not build any hard dependency on any complex storage system.

Gnocchi takes a unique approach to time series storage: rather than storing raw data points, it aggregates them before storing them. This built-in feature is different from most other time series databases, which usually support this mechanism as an option and compute aggregation (average, minimum, etc.) at query time.

Because Gnocchi computes all the aggregations at ingestion, getting the data back is extremely fast, as it just needs to read back the pre-computed results.

You can read the full documentation online at http://gnocchi.osci.io.

Project details


Release history Release notifications | RSS feed

Download files

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

Source Distribution

gnocchi-4.7.0.tar.gz (977.6 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

gnocchi-4.7.0-py3-none-any.whl (342.1 kB view details)

Uploaded Python 3

File details

Details for the file gnocchi-4.7.0.tar.gz.

File metadata

  • Download URL: gnocchi-4.7.0.tar.gz
  • Upload date:
  • Size: 977.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.13.5

File hashes

Hashes for gnocchi-4.7.0.tar.gz
Algorithm Hash digest
SHA256 9895630b4d085d28b36bd8e6575a14dc6b56b6cfd1071c308e59a47fac16c3d5
MD5 98ccda5c4bbbbff4748302d2a03d69a5
BLAKE2b-256 3258019c0a7995d1e2b4be5447816c9fc38c67db871da52bb47df549ded1b175

See more details on using hashes here.

File details

Details for the file gnocchi-4.7.0-py3-none-any.whl.

File metadata

  • Download URL: gnocchi-4.7.0-py3-none-any.whl
  • Upload date:
  • Size: 342.1 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.13.5

File hashes

Hashes for gnocchi-4.7.0-py3-none-any.whl
Algorithm Hash digest
SHA256 ad2c888588b090f149e13f3b956a83fdb81461f2c8b7a50fe8ec443bb5d6a34b
MD5 cfcba22206dd2e71fc8401b177c4cd2c
BLAKE2b-256 9119801fcb374ee86fb4e104e62f1455ce167a71621dd0684b0b6af7b674cdb2

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page