Analytical - Server Side Analytics

Analytical is a Python library for sending pageviews and events to analytics platforms like Google Analytics except from Python rather than JavaScript so it can be done server side. This has a number of advantages such as working regardless of whether clients block analytics scripts, privacy sensitive information can be anonymized or removed before sending, and it allows sending data only known by the server.

Feature support

Convenient utilities for anonymizing sensitive information like IP addresses
Pluggable provider backends for different analytics platforms (currently just Google)

Supports Python 2.7, Python 3.5+, and PyPy.

Example

import analytical

provider = analytical.Provider('googleanalytics', 'UA-XXXXXXX-1')
provider.pageview({
    'dl': 'https://example.com',
    'dt': 'My Page Title',
    'ua': 'user-agent',             # User agent
    'uip: '12.34.56.78',            # User IP address
})

Resources

GitHub: https://github.com/rtfd/analytical
Documentation: https://analytical.readthedocs.io
IRC: #readthedocs on freenode

Metadata

Release files for analytical 0.0.1

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for analytical 0.0.1
File	Size	Uploaded
analytical-0.0.1.tar.gz	26.7 kB	Nov 6, 2018	Details

Built distribution (wheel)

Table of built distributions (wheels) for analytical 0.0.1
File	Interpreter	ABI	Platform	Reset
analytical-0.0.1-py2.py3-none-any.whl 23.3 kB Nov 6, 2018	Python 3, Python 2	none	any	Details

Total release size: 50.0 kB

Release files / analytical-0.0.1.tar.gz

Download URL	analytical-0.0.1.tar.gz
Size	26.7 kB
Tags	Source
SHA-256 checksum How to use checksums	`3c2310ac04386bd2baddb5f54f43a15fc8a8c09fe634f6273e71046323a024ba`
BLAKE2b-256 checksum How to use checksums	`eb546a886ab4071a3edb87768c9c56ee88cd5dbc30d5f2031aa8656aef14f178`
Upload date	Nov 6, 2018
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/1.12.1 pkginfo/1.4.2 requests/2.20.0 setuptools/40.5.0 requests-toolbelt/0.8.0 tqdm/4.28.1 CPython/3.6.4`

Release files / analytical-0.0.1-py2.py3-none-any.whl

Download URL	analytical-0.0.1-py2.py3-none-any.whl
Size	23.3 kB
Tags	Python 2 Python 3
SHA-256 checksum How to use checksums	`68009b125e086c995f973f3c6021760fade59ea0970caedc1f9467b74df43098`
BLAKE2b-256 checksum How to use checksums	`52db844603676eabedbb78939c2c7f9d1b2edce178a980aa99c196309a349774`
Upload date	Nov 6, 2018
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/1.12.1 pkginfo/1.4.2 requests/2.20.0 setuptools/40.5.0 requests-toolbelt/0.8.0 tqdm/4.28.1 CPython/3.6.4`

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0.0.1 This release

Nov 6, 2018 2 release files

analytical 0.0.1