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kedro-telemetry

Kedro-Telemetry

With conditionsPyPI MonitoringReleased May 2026674.2K downloads / mopermissive licensePure Python

Decision gist · record as of 2026-08-14

pure-Python wheel — kedro_telemetry-0.8.0-py3-none-any.whl
v0.8.0 · released 2026-05-22 · Python >=3.10 · 5 runtime deps: appdirs, kedro, requests, tomli, tomli-w

Yes, if you use Kedro and are comfortable with anonymized usage analytics being collected by default. The plugin is actively maintained, has no known vulnerabilities, and imposes low install friction. If you prefer not to participate in telemetry, disabling it is straightforward via environment variables or a configuration file. Uninstalling is a last resort since it breaks Kedro's dependency expectations.AI-flagged interpretation of the facts on this page — verify before relying

Before you install

  • Requires Python 3.10 or later.
  • Requires kedro to be installed.
  • Uninstalling this plugin may cause pip check to report dependency issues since Kedro expects it.

License · maintenance · safety

permissive license (permissive) — Licensed under Apache 2.0 (permissive), allowing use in both open-source and commercial projects with minimal restrictions. You must retain license notices but face no copyleft obligations.

last release 2026-05-22 (84 days) · last repo commit 2026-08-14 · 118 stars

0 known vulnerabilities (OSV.dev, 2026-08-14) · 674,178 downloads/mo, #5,392 on PyPI

Verify before relying

pip install kedro-telemetry

# Telemetry is enabled by default once installed as a Kedro plugin.
# To disable: set environment variable DO_NOT_TRACK=1 or KEDRO_DISABLE_TELEMETRY=1
# Or create .telemetry file in project root with 'consent: false'
  • Whether telemetry data is truly anonymized and aggregated as claimed, and what specific fields are transmitted.
  • Heap Analytics' data retention and privacy policies beyond what Kedro documentation specifies.
  • Performance impact of telemetry collection on Kedro pipeline execution.
Same gist for agents: .md · .json

What it is and what it does

Kedro-Telemetry is a Kedro plugin that automatically collects anonymized usage data from Kedro projects and sends it to Heap Analytics. It uses pluggy hooks and requests to gather information about how Kedro is used, helping the Kedro team prioritize product improvements. The plugin is enabled by default when installed.

You can disable telemetry collection in three ways: by setting the DO_NOT_TRACK or KEDRO_DISABLE_TELEMETRY environment variables, by creating a .telemetry file in your project root with consent set to false, or by using the --telemetry=no flag when creating a new Kedro project. If you later withdraw consent, data collection stops immediately. The plugin depends on appdirs, requests, tomli, and tomli-w in addition to Kedro itself.

Use it for

  • Understand adoption patterns and feature usage across your organization's Kedro projects through dashboards accessible to project maintainers.
  • Disable telemetry in production or sensitive environments by setting DO_NOT_TRACK or KEDRO_DISABLE_TELEMETRY environment variables.
  • Opt out of data collection on a per-project basis by creating a .telemetry file with consent: false in your Kedro project root.
  • Contribute to Kedro's product roadmap by allowing the team to see which features are most heavily used.

Worth the install?

AI-flagged interpretation of the facts on this page. Verify before relying on it.

With conditions

Yes, if you use Kedro and are comfortable with anonymized usage analytics being collected by default.

The plugin is actively maintained, has no known vulnerabilities, and imposes low install friction. If you prefer not to participate in telemetry, disabling it is straightforward via environment variables or a configuration file. Uninstalling is a last resort since it breaks Kedro's dependency expectations.

Install

kedro-telemetry on PyPI

Before you install

Low install friction with a pure-Python wheel distribution. The package is actively maintained with a recent release and no known vulnerabilities. It depends on five common packages including kedro itself, requests, and TOML utilities.

Requires Python 3.10 or later. Requires kedro to be installed. Uninstalling this plugin may cause pip check to report dependency issues since Kedro expects it.

License in practice

Licensed under Apache 2.0 (permissive), allowing use in both open-source and commercial projects with minimal restrictions. You must retain license notices but face no copyleft obligations.

Quickstart

pip install kedro-telemetry

# Telemetry is enabled by default once installed as a Kedro plugin.
# To disable: set environment variable DO_NOT_TRACK=1 or KEDRO_DISABLE_TELEMETRY=1
# Or create .telemetry file in project root with 'consent: false'

Verify before relying

  • Whether telemetry data is truly anonymized and aggregated as claimed, and what specific fields are transmitted.
  • Heap Analytics' data retention and privacy policies beyond what Kedro documentation specifies.
  • Performance impact of telemetry collection on Kedro pipeline execution.

Package facts

Licensepermissive license permissive
Python supportSupports the current Python release >=3.10
Install frictionLow. Pure-Python wheel
Runtime dependencies
5 packages
appdirskedrorequeststomlitomli-w
MaintenanceActively maintained 84 days since the last release
Last repo commit
First released
Downloads674,178 / month, #5,392 on PyPI 30-day window, as of 2026-08-14
Known vulnerabilitiesNone known OSV.dev, checked 2026-08-14

Evidence: kedro_telemetry-0.8.0-py3-none-any.whl

Tags

Capabilities
kedro analytics pluginusage telemetry for kedroanonymized kedro metricskedro project monitoringdata pipeline telemetrykedro adoption trackingusage data collection kedro
Topics
kedro-pluginanalyticsopt-out

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See also iterative-telemetry · kedro · openvino-telemetry · kedro-viz · cua-core · kanaries-track · opentelemetry-instrumentation-botocore · azureml-telemetry · posthoganalytics · kedro-datasets