signalfx
SignalFx Python Library
Decision gist · record as of 2026-08-14
No, unless you are already locked into SignalFx and cannot migrate. The package is abandoned (last release November 2022, repository archived), with no active maintenance or support. Splunk has not published a recommended successor in this fact sheet. If you need to send metrics to Splunk or a modern observability platform, investigate current alternatives or Splunk's own SDKs before committing to this library.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires a valid SignalFx organization token and network access to SignalFx ingest endpoints.
- Timestamps must be in millisecond precision.
- Low install friction with a pure-wheel distribution.
License · maintenance · safety
Apache Software License v2 (permissive) — Licensed under Apache Software License v2, a permissive license. You may use, modify, and distribute this package freely in commercial and private projects, provided you include a copy of the license and state significant changes.
last release 2022-11-02 (1381 days) · last repo commit 2024-08-30 · 43 stars · archived
0 known vulnerabilities (OSV.dev, 2026-08-14) · 133,529 downloads/mo, #11,509 on PyPI
Alternatives
Verify before relying
pip install signalfx
import signalfx
sfx = signalfx.SignalFx().ingest('ORG_TOKEN')
sfx.send(gauges=[{'metric': 'myfunc.time', 'value': 532, 'timestamp': 1442960607000}])
sfx.stop()- Whether the package works reliably with modern Python versions beyond 3.8 given its abandoned status.
- Whether Splunk maintains a successor or recommended replacement for this library.
- Compatibility of bundled dependencies (protobuf, requests, ws4py) with current versions.
What it is and what it does
SignalFx is a Python client for the SignalFx monitoring platform, acquired by Splunk in 2019. It provides programmatic access to three main APIs: the data ingest API for sending metrics and events, the metadata REST API for managing tags and metric properties, and the SignalFlow API for real-time analytics. The library handles metric reporting with support for gauges, counters, and cumulative counters, optionally enriched with dimensions (key-value metadata). It queues datapoints internally and drains them via a background thread, allowing non-blocking metric submission from application code.
The package integrates with pyformance for CodaHale-style metrics and can automatically append AWS instance metadata as dimensions. It is designed as a base layer for scripts and applications that need to push observability data into SignalFx or for building metric reporters that bridge Python monitoring libraries to the platform. However, the library has been abandoned since November 2022 with no active maintenance, and the repository is archived.
Use it for
- Send application metrics (latency, request counts, custom gauges) to SignalFx for real-time monitoring and alerting.
- Report deployment events and service state changes to SignalFx with contextual dimensions like host and service name.
- Integrate pyformance metrics collection into a SignalFx reporting pipeline for CodaHale-style instrumentation.
- Enrich metrics with AWS metadata (instance ID) automatically when running on EC2 instances.
- Query and update metric metadata and tags programmatically via the REST API.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
No, unless you are already locked into SignalFx and cannot migrate.
The package is abandoned (last release November 2022, repository archived), with no active maintenance or support. Splunk has not published a recommended successor in this fact sheet. If you need to send metrics to Splunk or a modern observability platform, investigate current alternatives or Splunk's own SDKs before committing to this library.
Install
signalfx on PyPI
Before you install
Low install friction with a pure-wheel distribution. However, the package is abandoned as of 2022-11-02 with no recent maintenance; the repository is archived. Use only if you are committed to maintaining a fork or have no alternative.
Requires a valid SignalFx organization token and network access to SignalFx ingest endpoints. Timestamps must be in millisecond precision.
License in practice
Licensed under Apache Software License v2, a permissive license. You may use, modify, and distribute this package freely in commercial and private projects, provided you include a copy of the license and state significant changes.
Quickstart
pip install signalfx
import signalfx
sfx = signalfx.SignalFx().ingest('ORG_TOKEN')
sfx.send(gauges=[{'metric': 'myfunc.time', 'value': 532, 'timestamp': 1442960607000}])
sfx.stop()Verify before relying
- Whether the package works reliably with modern Python versions beyond 3.8 given its abandoned status.
- Whether Splunk maintains a successor or recommended replacement for this library.
- Compatibility of bundled dependencies (protobuf, requests, ws4py) with current versions.
Package facts
| License | Apache Software License v2 permissive |
| Python support | Not specified |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 8 packagescertifiprotobufpyformancerequestssseclient-pyurllib3sixws4py |
| Maintenance | Abandoned 1,381 days since the last release |
| Last repo commit | repository archived |
| First released | |
| Downloads | 133,529 / month, #11,509 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Operating System :: OS IndependentProgramming Language :: PythonProgramming Language :: Python :: 2Programming Language :: Python :: 2.7Programming Language :: Python :: 3Programming Language :: Python :: 3.5Programming Language :: Python :: 3.6Programming Language :: Python :: 3.7Programming Language :: Python :: 3.8 |
Evidence: signalfx-1.1.16-py2.py3-none-any.whl
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