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.. _kotori-readme:
Kotori
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.. figure:: https://ptrace.getkotori.org/2016-05-23_chart-recorder.png
:alt: Chart recorder
:width: 240px
:target: .
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*Telemetry data acquisition and sensor networks for humans.*
.. image:: https://assets.okfn.org/images/ok_buttons/oc_80x15_blue.png
:target: https://okfn.org/opendata/
.. image:: https://assets.okfn.org/images/ok_buttons/ok_80x15_red_green.png
:target: https://okfn.org/opendata/
.. image:: https://assets.okfn.org/images/ok_buttons/os_80x15_orange_grey.png
:target: https://okfn.org/opendata/
Status:
.. image:: https://github.com/daq-tools/kotori/workflows/Tests/badge.svg :target: https://github.com/daq-tools/kotori/actions?workflow=Tests :alt: CI outcome
.. image:: https://codecov.io/gh/daq-tools/kotori/branch/main/graph/badge.svg :target: https://codecov.io/gh/daq-tools/kotori :alt: Test suite code coverage
.. image:: https://img.shields.io/pypi/pyversions/kotori.svg :target: https://pypi.org/project/kotori/ :alt: Supported Python versions
.. image:: https://img.shields.io/pypi/v/kotori.svg :target: https://pypi.org/project/kotori/ :alt: Package version on PyPI
.. image:: https://img.shields.io/pypi/status/kotori.svg :target: https://pypi.org/project/kotori/ :alt: Project status (alpha, beta, stable)
.. image:: https://img.shields.io/pypi/l/kotori.svg :target: https://pypi.org/project/kotori/ :alt: Project license
Usage:
.. image:: https://static.pepy.tech/personalized-badge/kotori?period=month&left_text=PyPI%20downloads%20%2F%20month&left_color=gray&right_color=orange :target: https://pypi.org/project/kotori/ :alt: PyPI downloads per month
.. image:: https://img.shields.io/docker/pulls/daqzilla/kotori.svg?label=docker%20pulls%20(kotori)
:target: https://hub.docker.com/r/daqzilla/kotori
:alt: Docker image pulls for kotori
(total)
.. image:: https://img.shields.io/docker/pulls/daqzilla/kotori-standard.svg?label=docker%20pulls%20(kotori-standard)
:target: https://hub.docker.com/r/daqzilla/kotori-standard
:alt: Docker image pulls for kotori-standard
(total)
Compatibility:
.. image:: https://img.shields.io/badge/Mosquitto-1.5%2C%201.6%2C%202.0-blue.svg :target: https://github.com/eclipse/mosquitto :alt: Supported Mosquitto versions
.. image:: https://img.shields.io/badge/Grafana-5.x%20--%209.x-blue.svg :target: https://github.com/grafana/grafana :alt: Supported Grafana versions
.. image:: https://img.shields.io/badge/InfluxDB-1.6%2C%201.7%2C%201.8-blue.svg :target: https://github.com/influxdata/influxdb :alt: Supported InfluxDB versions
.. image:: https://img.shields.io/badge/MongoDB-3.x%20--%205.x-blue.svg :target: https://github.com/mongodb/mongo :alt: Supported MongoDB versions
About
Kotori is a multi-channel, multi-protocol, telemetry data acquisition and
graphing toolkit for time-series
_ data processing. Free, open, simple.
It supports scientific environmental monitoring projects,
distributed sensor networks, and likewise scenarios.
Kotori is a data historian
_ based on Grafana_, Mosquitto_, and InfluxDB_,
and is written in Python_ with Twisted_.
The best way to find out what you can do with Kotori, is by looking at
some outlined scenarios
_ and by reading how others are using it at the
example gallery <gallery_>
. To learn more about the technical details, have
a look at the used technologies
.
Installation
Kotori can be installed in different ways. You may prefer using a Debian
package, install it from the Python Package Index (PyPI), or run it within
a development sandbox
_ directly from the Git repository.
Corresponding installation instructions are bundled at https://getkotori.org/docs/setup/.
Synopsis
A compact example how to submit measurement data on a specific channel, using MQTT and HTTP, and export it again.
First, let's define a data acquisition channel::
CHANNEL=amazonas/ecuador/cuyabeno/1
and some example measurement data::
DATA='{"temperature": 42.84, "humidity": 83.1}'
Submit with MQTT::
MQTT_BROKER=daq.example.org
echo "$DATA" | mosquitto_pub -h $MQTT_BROKER -t $CHANNEL/data.json -l
Submit with HTTP::
HTTP_URI=https://daq.example.org/api/
echo "$DATA" | curl --request POST --header 'Content-Type: application/json' --data @- $HTTP_URI/$CHANNEL/data
Measurement data can be exported in a variety of formats.
This is a straight-forward example for CSV data export::
http $HTTP_URI/$CHANNEL/data.csv
Acknowledgements
Thanks a stack to all the contributors
_ who helped to co-create and conceive
Kotori in one way or another. You know who you are.
Project information
Every kind of contribution, feedback, or patch, is much welcome. Create an issue
_ or submit a patch if you think we should include a new feature, or to
report or fix a bug.
In order to setup a development environment on your workstation, please head over
to the development sandbox
_ documentation. When you see the software tests succeed,
you should be ready to start hacking.
Source code <https://github.com/daq-tools/kotori>
_Documentation <https://getkotori.org/>
_Python Package Index (PyPI) <https://pypi.org/project/kotori/>
_The project is licensed under the terms of the GNU AGPL license, see LICENSE
_.
.. _Autobahn: https://crossbar.io/autobahn/ .. _contributors: https://getkotori.org/docs/project/contributors.html .. _Create an issue: https://github.com/daq-tools/kotori/issues/new .. _data historian: https://en.wikipedia.org/wiki/Operational_historian .. _development sandbox: https://getkotori.org/docs/setup/sandbox.html .. _gallery: https://getkotori.org/docs/gallery/ .. _Grafana: https://en.wikipedia.org/wiki/Grafana .. _InfluxDB: https://en.wikipedia.org/wiki/InfluxDB .. _LICENSE: https://github.com/daq-tools/kotori/blob/main/LICENSE .. _MongoDB: https://en.wikipedia.org/wiki/MongoDB .. _Mosquitto: https://github.com/eclipse/mosquitto .. _MQTT: https://en.wikipedia.org/wiki/MQTT .. _Python: https://www.python.org/ .. _scenarios: https://getkotori.org/docs/about/scenarios.html .. _technologies: https://getkotori.org/docs/about/technologies.html .. _time-series: https://en.wikipedia.org/wiki/Time_series .. _Twisted: https://en.wikipedia.org/wiki/Twisted_(software)
FAQs
Kotori is a data acquisition, processing and graphing toolkit for humans
We found that kotori demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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