Kedro-Telemetry
Project description
Kedro-Telemetry
To find out how Kedro's features are used, the Kedro team have created the Kedro-Telemetry plugin to gather anonymised usage analytics. The data it gathers will help drive future development of Kedro because we can understand how the product is being used. Kedro-Telemetry uses pluggy
hooks and requests
to send data to Heap Analytics.
Privacy notice
What about my personal data?
McKinsey & Company Inc (“McKinsey”, “we”) will process a minimal amount of personal data when you use Kedro with the Kedro-Telemetry plugin. McKinsey will only process such data under applicable data protection laws.
McKinsey will process your hashed hostname and hashed computer username, which both is pseudonymized information that indirectly relates to you personally. We use this data to better understand how users use Kedro’s features, involving a third-party analytics provider. The aim is to enable constant improvement to make Kedro as user friendly, effective, and precise as possible for you and other users. Furthermore, we compare your hashed hostname and hashed computer username with our internal list to understand the proportion of McKinsey users vs. open-source users. For EU users, we have implemented additional data protection safeguards, where these processing activities include a data transfer to a third country. **As an open-source user, please note that McKinsey or the third-party analytics provider will not, at any time, have the possibility to identify you personally behind the hashed hostname or hashed username (f. ex. your name, location, etc.). **As a McKinsey user, you, and the engagement you are using Kedro for will be identified in internal systems to evaluate McKinsey’s internal use of Kedro.
We base our processing activities on your free consent, and we will only store your personal data for so long as necessary for our analysis. You can withdraw your consent at any time. How to withdraw consent is explained below.
You have furthermore certain data subject rights under applicable laws (incl. right to access, erasure, restriction). However, as an open-source user, please note that answering to these would require us to collect and process additional personal data and identify you personally only for this reason. Depending on your location, you may also have the right to lodge a complaint with the competent supervisory authority. If you have any questions, want to learn more about this Notice or exercise your rights, or if you would like to communicate with our EU Data Protection Officer or the Data Privacy Team, please contact us at: privacy@mckinsey.com.
What other information do you collect?
Besides the hashed host and username, we collect the following project-related information. Again, we rely on your consent to do so:
Description | Example Input | What we receive |
---|---|---|
CLI command (masked arguments) | kedro run --pipeline=ds --env=test |
kedro run --pipeline ***** --env ***** |
(Hashed) Package name | my-project | 1c7cd944c28cd888904f3efc2345198507... |
(Hashed) Project name | my_project | a6392d359362dc9827cf8688c9d634520e... |
kedro project version |
0.17.6 | 0.17.6 |
kedro-telemetry version |
0.1.2 | 0.1.2 |
Python version | 3.8.10 (default, Jun 2 2021, 10:49:15) | 3.8.10 (default, Jun 2 2021, 10:49:15) |
Operating system used | darwin | darwin |
How do I consent to the use of Kedro-Telemetry?
Kedro-Telemetry is a Python plugin. To install it:
pip install kedro-telemetry
Note: If you are using an official Kedro project template then
kedro-telemetry
is included in the project-levelrequirements.txt
of the starter.kedro-telemetry
is activated after you have a created a new project with a Kedro project template and have runkedro install
from the terminal.
When you next run the Kedro CLI you will be asked for consent to share usage analytics data for the purposes explained in the privacy notice, and a .telemetry
YAML file will be created in the project root directory. The variable consent
will be set according to your choice in the file, e.g. if you consent:
consent: true
Note: The
.telemetry
file should not be committed togit
or packaged in deployment. Inkedro>=0.17.4
the file is git-ignored.
How do I withdraw consent?
To withdraw consent, you can change the consent
variable to false
in .telemetry
YAML by editing the file in the following way:
consent: false
Or you can uninstall the plugin:
pip uninstall kedro-telemetry
What happens when I have denied or withdrawn consent?
Data will only be collected if consent is given. Otherwise, if consent was explicitly denied or withdrawn, the message below will be printed out on every Kedro CLI invocation. If you explicitly deny consent from the beginning, no data will be collected. If you withdraw consent later, the processing of data will be stopped from that moment on.
Kedro-Telemetry is installed, but you have opted out of sharing usage analytics so none will be collected.
What licence do you use?
Kedro-Telemetry is licensed under the Apache 2.0 License.
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
Built Distribution
File details
Details for the file kedro-telemetry-0.1.4.tar.gz
.
File metadata
- Download URL: kedro-telemetry-0.1.4.tar.gz
- Upload date:
- Size: 8.1 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/33.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.63.0 importlib-metadata/4.11.2 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.8.12
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | c15c8aacbc26e4a8984b7a9d7c311b6586a7bc5de276891823dfacfee371eb77 |
|
MD5 | 9ecb6b31708fadb0d4c47fb7dbf628c6 |
|
BLAKE2b-256 | 6ef91eb4074703484283b3600518ef301877521017c3d48e07c7c698dd4a0fd5 |
File details
Details for the file kedro_telemetry-0.1.4-py3-none-any.whl
.
File metadata
- Download URL: kedro_telemetry-0.1.4-py3-none-any.whl
- Upload date:
- Size: 8.4 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/33.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.63.0 importlib-metadata/4.11.2 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.8.12
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 56779432adfd3a3ab7026693a768c9d17c1e2e008c03d72c9e54ef929da7a613 |
|
MD5 | a2c4e9a29d47713308a1bdfde6478adb |
|
BLAKE2b-256 | dbf9dc1794c98fb955c83b9dbbf5a2217e2b3df8e57109f004b4bb695936a7a0 |