scarf-sdk
Python bindings for Scarf telemetry
Decision gist · record as of 2026-08-14
Yes, if you have a Scarf endpoint and need a minimal telemetry client. The package is simple, has low install friction, and respects privacy settings. However, the aging maintenance status (4 stars, no recent releases) and unclear license metadata warrant caution in production—verify the Apache 2.0 license is actually applied and consider whether the project's low activity level is acceptable for your use case.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python >=3.7 and a reachable Scarf endpoint URL to initialize the logger.
- Low install friction with a single runtime dependency (requests).
- Maintenance status is aging—the repository has 4 stars, last commit on 2026-01-07, and no releases since 2025-12-31, so expect slower response to issues or updates.
License · maintenance · safety
(unclear) — License treatment is unclear: no SPDX identifier or raw license string is recorded in the package metadata, despite the description mentioning Apache 2.0. Verify the actual license terms before use in proprietary or restricted contexts.
last release 2025-12-31 (226 days) · last repo commit 2026-01-07 · 4 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 165,036 downloads/mo, #10,531 on PyPI
Alternatives
Verify before relying
pip install scarf-sdk
from scarf import ScarfEventLogger
logger = ScarfEventLogger(endpoint_url="https://your-endpoint.com")
success = logger.log_event({"event": "test", "data": "value"})- Whether the Apache 2.0 license mentioned in the description is actually enforced in the package metadata or if there is a mismatch.
- Whether the aging maintenance status and low star count indicate active community use or potential abandonment.
- Whether the package respects Do Not Track and SCARF_NO_ANALYTICS environment variables reliably in production.
What it is and what it does
scarf-sdk is a lightweight Python client for sending telemetry events to a Scarf endpoint. It wraps HTTP requests to a configurable endpoint, accepting JSON payloads with arbitrary event data and supporting nested structures. The client depends only on requests and provides a simple ScarfEventLogger class that accepts an endpoint URL and optional timeout, then logs events via a log_event() method that returns success/failure status.
The package is designed for integration into other tools or libraries that want to send usage telemetry. It respects user privacy settings via DO_NOT_TRACK and SCARF_NO_ANALYTICS environment variables, and supports verbose logging for debugging. Timeouts are configurable both at initialization (default 3 seconds) and per-call, allowing flexibility in network conditions.
Use it for
- Track package downloads or installations by logging events when your package is installed or used.
- Send custom telemetry from a CLI tool to understand user behavior and feature adoption.
- Monitor application usage patterns by logging events at key points in your application flow.
- Debug telemetry integration with verbose logging mode to verify events are reaching the endpoint.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you have a Scarf endpoint and need a minimal telemetry client.
The package is simple, has low install friction, and respects privacy settings. However, the aging maintenance status (4 stars, no recent releases) and unclear license metadata warrant caution in production—verify the Apache 2.0 license is actually applied and consider whether the project's low activity level is acceptable for your use case.
Install
scarf-sdk on PyPI
Before you install
Low install friction with a single runtime dependency (requests). Maintenance status is aging—the repository has 4 stars, last commit on 2026-01-07, and no releases since 2025-12-31, so expect slower response to issues or updates.
Requires Python >=3.7 and a reachable Scarf endpoint URL to initialize the logger.
License in practice
License treatment is unclear: no SPDX identifier or raw license string is recorded in the package metadata, despite the description mentioning Apache 2.0. Verify the actual license terms before use in proprietary or restricted contexts.
Quickstart
pip install scarf-sdk
from scarf import ScarfEventLogger
logger = ScarfEventLogger(endpoint_url="https://your-endpoint.com")
success = logger.log_event({"event": "test", "data": "value"})Verify before relying
- Whether the Apache 2.0 license mentioned in the description is actually enforced in the package metadata or if there is a mismatch.
- Whether the aging maintenance status and low star count indicate active community use or potential abandonment.
- Whether the package respects Do Not Track and SCARF_NO_ANALYTICS environment variables reliably in production.
Package facts
| License | Not declared unclear |
| Python support | Supports the current Python release >=3.7 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 1 packagerequests |
| Maintenance | Aging 226 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 165,036 / month, #10,531 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
Evidence: scarf_sdk-0.2.1-py3-none-any.whl
Tags
Let your AI agent find packages like this
Example. Real query, live index.
You found this page by searching. An agent finds it by wishing: SkillFed indexes 14,416 PyPI packages by what they can do, searchable in plain language.
wish › “telemetry event logging”
- scarf-sdkA Python client for sending telemetry events to a Scarf endpoint via…
- openvino-telemetrySends telemetry data from OpenVINO toolkit components to Google…
- nv-one-logger-coreProvides core telemetry abstractions (spans, events, attributes) and…
Give your agent the search over MCP, or paste the wish link into any chat.
More Monitoring packages
Wraps any iterable to display a real-time progress bar in the terminal or Jupyter notebook, showing iteration count, elapsed time, and estimated time remaining.
Provides generated Python code for OpenTelemetry semantic conventions, enabling standardized attribute naming and constant definitions for instrumentation and telemetry collection.
Install it if you are using OpenTelemetry and want to follow semantic conventions correctly.
Provides the reference implementation of the OpenTelemetry API for collecting and exporting traces, metrics, and logs from Python applications.
Provides the abstract API and interfaces for OpenTelemetry instrumentation in Python, defining how to emit traces, metrics, and logs without tying code to a specific SDK implementation.
Exports OpenTelemetry observability data to an OpenTelemetry Collector using Protobuf-encoded messages over HTTP.
Install it if you are using OpenTelemetry in Python and need to send data to a Collector over HTTP.
Provides automatic instrumentation commands and programmatic APIs to inject distributed tracing into Python applications without code changes, detecting and instrumenting packages used by your program.
Install it if you need distributed tracing without code changes and have compatible instrumented packages in your environment.
See also kanaries-track · posthoganalytics · openvino-telemetry · snowplow-tracker · tb-mqtt-client · iterative-telemetry · kedro-telemetry · newrelic-telemetry-sdk · azure-monitor-opentelemetry-exporter · raindrop-ai