iterative-telemetry
Common library for sending telemetry
Decision gist · record as of 2026-08-14
Yes, if you are building or maintaining an Iterative tool and need a lightweight, opt-out-friendly telemetry layer. The package is permissively licensed, has low install friction, and collects only minimal anonymized data. The aging maintenance status is a minor concern but not a blocker given the stable, narrow scope of the library.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.8 or later; telemetry is disabled if ITERATIVE_DO_NOT_TRACK=1 environment variable is set.
- Low install friction with a pure Python wheel and four lightweight runtime dependencies.
- Maintenance is aging—549 days since last release—but the repository remains active with a recent commit in December 2025.
License · maintenance · safety
Apache-2.0 (permissive) — Apache 2.0 permissive license means you can use, modify, and redistribute this package freely in commercial and private projects with minimal restrictions.
last release 2025-02-11 (549 days) · last repo commit 2025-12-15 · 3 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 2,939,796 downloads/mo, #2,817 on PyPI
Alternatives
Verify before relying
pip install iterative-telemetry
from iterative_telemetry import send_telemetry
send_telemetry(tool_name='my_tool', tool_version='1.0.0')- Exact API surface and method signatures for sending telemetry events beyond the basic example shown
- Whether the package handles network failures or offline scenarios gracefully
- Performance impact of telemetry collection on host applications
What it is and what it does
Iterative Telemetry is a shared library that collects and sends anonymized usage data from Iterative tools. It gathers minimal information—tool name, version, OS details, and a persistent anonymized user ID—and transmits it via HTTP requests. The package is designed to be unobtrusive: users can disable all telemetry collection across all Iterative projects by setting the ITERATIVE_DO_NOT_TRACK environment variable.
The library depends on requests for HTTP communication, appdirs for platform-specific data directories, filelock for safe concurrent access, and distro for OS detection. It supports Python 3.8 through 3.11 and is distributed under the Apache 2.0 license. While maintenance is aging (no release in 549 days), the repository remains active.
Use it for
- Embed in Iterative tools to collect anonymous usage patterns and inform product development decisions
- Track adoption and feature usage across a suite of related command-line or programmatic tools
- Maintain a consistent user identity across multiple Iterative projects without storing personally identifiable information
- Allow users to opt out of all telemetry collection via a single environment variable across all dependent tools
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you are building or maintaining an Iterative tool and need a lightweight, opt-out-friendly telemetry layer.
The package is permissively licensed, has low install friction, and collects only minimal anonymized data. The aging maintenance status is a minor concern but not a blocker given the stable, narrow scope of the library.
Install
iterative-telemetry on PyPI
Before you install
Low install friction with a pure Python wheel and four lightweight runtime dependencies. Maintenance is aging—549 days since last release—but the repository remains active with a recent commit in December 2025.
Requires Python 3.8 or later; telemetry is disabled if ITERATIVE_DO_NOT_TRACK=1 environment variable is set.
License in practice
Apache 2.0 permissive license means you can use, modify, and redistribute this package freely in commercial and private projects with minimal restrictions.
Quickstart
pip install iterative-telemetry
from iterative_telemetry import send_telemetry
send_telemetry(tool_name='my_tool', tool_version='1.0.0')Verify before relying
- Exact API surface and method signatures for sending telemetry events beyond the basic example shown
- Whether the package handles network failures or offline scenarios gracefully
- Performance impact of telemetry collection on host applications
Package facts
| License | Apache-2.0 permissive |
| Python support | Supports the current Python release >=3.8 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 4 packagesrequestsappdirsfilelockdistro |
| Maintenance | Aging 549 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 2,939,796 / month, #2,817 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Development Status :: 4 - BetaProgramming Language :: Python :: 3Programming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.8Programming Language :: Python :: 3.9 |
Evidence: iterative_telemetry-0.0.10-py3-none-any.whl
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