signalflow-client-python
Decision gist · record as of 2026-08-14
Yes, if you use Splunk Observability Cloud and need to execute SignalFlow computations from Python. The package is actively maintained, has low install friction, carries a permissive Apache-2.0 license, and no known vulnerabilities. It is a straightforward client library with a clear use case: streaming real-time analytics from SignalFx. Install it only if you have a SignalFx account and an API token.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires a valid Splunk Observability Cloud API access token and network connectivity to the SignalFx stream endpoint.
- Low friction: pure Python wheel with five lightweight runtime dependencies (certifi, six, sseclient-py, urllib3, ws4py).
- Active maintenance with a release 37 days ago; requires Python 3.10 or later.
License · maintenance · safety
Apache-2.0 (permissive) — Apache-2.0 permissive license allows free use, modification, and distribution in both open-source and proprietary projects with minimal restrictions.
last release 2026-07-08 (37 days) · last repo commit 2026-07-07 · 4 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 80,839 downloads/mo, #14,265 on PyPI
Alternatives
Verify before relying
pip install signalflow-client-python
from signalflow_client_python import SignalFlowClient
client = SignalFlowClient(token='your-api-token', endpoint='https://stream.signalfx.com')
computation = client.execute("data('sf.org.num.orguser').publish()")
for msg in computation.stream():
print(msg)
client.close()- Whether the package supports streaming over WebSocket connections reliably in production environments.
- Performance characteristics and latency guarantees for high-frequency metric streams.
- Backward compatibility policy and deprecation timeline for older Python versions.
- Exact module and class names available in the public API beyond what the description excerpt shows.
What it is and what it does
signalflow-client-python is a library for programmatically executing real-time analytics computations on Splunk Observability Cloud. It opens a persistent connection to SignalFx, sends SignalFlow programs (a domain-specific language for time-series analytics), and streams computed results back to your Python application. The library handles authentication via API token and manages the underlying connections through its runtime dependencies: certifi, six, sseclient-py, urllib3, and ws4py.
Typical usage involves instantiating a client with your API credentials, executing a SignalFlow program string, and iterating over the message stream to receive real-time metric data. It is designed for developers who want to embed SignalFx analytics directly into Python applications rather than relying solely on the Splunk UI, enabling programmatic access to the same computation engine that powers dashboards and alerts.
Use it for
- Execute custom real-time analytics on metrics stored in Splunk Observability Cloud from a Python script or application.
- Stream live metric data into a Python monitoring or alerting system for custom post-processing or decision logic.
- Reuse SignalFlow programs written in the Splunk UI by executing them programmatically from Python code.
- Build automated data pipelines that fetch computed metrics from SignalFx on a schedule or in response to events.
- Integrate Splunk Observability analytics into Python-based observability or incident response workflows.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you use Splunk Observability Cloud and need to execute SignalFlow computations from Python.
The package is actively maintained, has low install friction, carries a permissive Apache-2.0 license, and no known vulnerabilities. It is a straightforward client library with a clear use case: streaming real-time analytics from SignalFx. Install it only if you have a SignalFx account and an API token.
Install
signalflow-client-python on PyPI
Before you install
Low friction: pure Python wheel with five lightweight runtime dependencies (certifi, six, sseclient-py, urllib3, ws4py). Active maintenance with a release 37 days ago; requires Python 3.10 or later.
Requires a valid Splunk Observability Cloud API access token and network connectivity to the SignalFx stream endpoint.
License in practice
Apache-2.0 permissive license allows free use, modification, and distribution in both open-source and proprietary projects with minimal restrictions.
Quickstart
pip install signalflow-client-python
from signalflow_client_python import SignalFlowClient
client = SignalFlowClient(token='your-api-token', endpoint='https://stream.signalfx.com')
computation = client.execute("data('sf.org.num.orguser').publish()")
for msg in computation.stream():
print(msg)
client.close()Verify before relying
- Whether the package supports streaming over WebSocket connections reliably in production environments.
- Performance characteristics and latency guarantees for high-frequency metric streams.
- Backward compatibility policy and deprecation timeline for older Python versions.
- Exact module and class names available in the public API beyond what the description excerpt shows.
Package facts
| License | Apache-2.0 permissive |
| Python support | Supports the current Python release >=3.10 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 5 packagescertifisixsseclient-pyurllib3ws4py |
| Maintenance | Actively maintained 37 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 80,839 / month, #14,265 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 :: PythonProgramming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: Implementation :: CPythonProgramming Language :: Python :: Implementation :: PyPy |
Evidence: signalflow_client_python-1.3.9-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 › “signalflow streaming analytics client”
- signalflow-client-pythonA Python client library that connects to Splunk Observability Cloud…
- azure-mgmt-streamanalyticsProvides Python client library for managing Azure Stream Analytics…
- mux-pythonOfficial Python wrapper for the Mux API, providing access to Mux…
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 signalfx · splunk-sdk · pysigma-backend-splunk · splunk-opentelemetry · splunk-handler · azure-mgmt-streamanalytics · aws_sdk_transcribe_streaming · mux-python · apache-flink-libraries · apache-flink