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README.md | ||
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README.md
KISSS (Keep It Simple Stupid Stats) a.k.a kis3
I started to develop KISSS because I need a simple and privacy respecting method to collect visitor statistics of my website. I don't need any fancy dashboard, but I want to get exactly the stats I need. I need something fast, that is able to run even on really low end hardware like a Raspberry Pi.
How to install
KISSS is really easy to install via Docker.
docker run -d --name kis3 -e ENVVAR=VARVALUE -e ... -p 8080:8080 -v kis3:/app/data kis3/kis3
Replace ENVVAR and VARVALUE with the environment variables from the configuration.
Depending on your setup, replace -p 8080:8080
with your custom port configuration. KISSS listens to port 8080 by default, but you can also change this via the configuration.
To persist the data KISSS collects, you should mount a volume or a folder to /app/data
. When mounting an folder, give writing permissions to UID 100, because it is a non-root image to make it more secure.
It's also possible to use KISSS without Docker, but for that you need to compile it yourself. In the future there will be executables without dependencies available.
Configuration
You can configure some settings using environment variables:
PORT
(8080
): Set the port to which KISSS should listen
DNT
(true
): Set whether or not KISSS should respect Do-Not-Track headers some browsers send
DB_PATH
(data/kis3.db
): Set the path for the SQLite database (relative to the working directory - in the Docker container it's /app
).
You can make the statistics private and only accessible with authentication by setting both STATS_USERNAME
and STATS_PASSWORD
to a username and password. If only one or none is set, the statistics are accessible without authorization and public to anyone.
Add to website
You can add the KISSS tracker to any website by putting <script src="https://yourkis3domain.tld/kis3.js"></script>
just before </body>
in the HTML. Just replace yourkis3domain.tld
with the correct address.
Requesting stats
You can request statistics via the /stats
endpoint and specifying filters via query parameters (?view=hours&format=chart
etc.). By combining this filters, you can exactly request the stats you want to get.
The following filters are available:
view
: specify what data (and it's view counts) gets displayed, you have the option between pages
(tracked URLS), referrers
(tracked refererrers - only hostnames e.g. google.com), useragents
(tracked useragents with version - browsers or crawl bots with version), useragentnames
(tracked useragents without version), hours
/ days
/ weeks
/ months
(tracks grouped by hours / days / weeks / months), allhours
/ alldays
(tracks grouped by hours / days including hours or days with zero visits, spanning from first to last track in selection)
from
: start time of the selection in the format YYYY-MM-DD HH:MM
, e.g. 2019-01
or 2019-01-01 01:00
to
: end time of the selection
url
: filter URLs containing the string provided, so word
filters out all URLs that don't contain word
ref
: filter referrers containing the string provided, so word
filters out all refferers that don't contain word
ua
: filter user agents containing the string provided, so Firefox
filters out all user agents that don't contain Firefox
orderrow
: row to use for ordering, first
for the data groups, second
for the view counts
order
: select whether to use ascending order (ASC
) or descending order (DESC
)
format
: the format to represent the data, default is plain
for a simple plain text list, json
for a JSON response or chart
for a chart generated with ChartJS in the browser