aliyun-semantic-conventions
Aliyun Semantic Conventions
Decision gist · record as of 2026-08-14
Yes, if you are building or integrating tracing instrumentation for Aliyun services. The package is lightweight, dependency-free, and licensed permissively. However, verify that the semantic conventions it defines (last updated 519 days ago) match your target Aliyun specification version, as the long release gap suggests the package may not track recent changes to Aliyun's tracing standards.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Low friction installation with no runtime dependencies.
- Package is aging (519 days since last release) but marked Production/Stable and supports current Python versions (3.7–3.12).
License · maintenance · safety
Apache-2.0 (permissive) — Licensed under Apache-2.0 (permissive), allowing use in commercial and open-source projects with minimal restrictions beyond attribution.
last release 2025-03-13 (519 days)
0 known vulnerabilities (OSV.dev, 2026-08-14) · 17,508,514 downloads/mo, #1,116 on PyPI
Alternatives
Verify before relying
pip install aliyun-semantic-conventions==1.2.0
import aliyun_semantic_conventions
# Access semantic convention definitions for Aliyun tracing- Whether this package is actively maintained or if the 519-day gap represents end-of-life for the Aliyun specification version it encodes.
- Whether the semantic conventions it defines are still current with Aliyun's tracing specification.
What it is and what it does
This package is a reference library of semantic convention constants and definitions for Aliyun's distributed tracing and observability services. It encodes standardized field names, types, and meanings used in Aliyun ARMS (Application Real-time Monitoring Service) tracing to ensure consistent naming and structure across instrumentation and trace collection.
It is a pure data and definition package with no runtime dependencies, designed to be imported by instrumentation libraries and tracing clients that need to conform to Aliyun's specification. Developers use it to ensure their tracing code emits fields with the correct names and semantics expected by Aliyun's backend systems.
Use it for
- Building Aliyun ARMS instrumentation libraries that need to emit spans and metrics with standardized field names.
- Integrating third-party tracing tools with Aliyun services while maintaining semantic consistency.
- Developing observability agents or middleware that must conform to Aliyun's tracing specification.
- Documenting and validating tracing field names in applications targeting Aliyun cloud infrastructure.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you are building or integrating tracing instrumentation for Aliyun services.
The package is lightweight, dependency-free, and licensed permissively. However, verify that the semantic conventions it defines (last updated 519 days ago) match your target Aliyun specification version, as the long release gap suggests the package may not track recent changes to Aliyun's tracing standards.
Install
aliyun-semantic-conventions on PyPI
Before you install
Low friction installation with no runtime dependencies. Package is aging (519 days since last release) but marked Production/Stable and supports current Python versions (3.7–3.12).
License in practice
Licensed under Apache-2.0 (permissive), allowing use in commercial and open-source projects with minimal restrictions beyond attribution.
Quickstart
pip install aliyun-semantic-conventions==1.2.0
import aliyun_semantic_conventions
# Access semantic convention definitions for Aliyun tracing
Verify before relying
- Whether this package is actively maintained or if the 519-day gap represents end-of-life for the Aliyun specification version it encodes.
- Whether the semantic conventions it defines are still current with Aliyun's tracing specification.
Package facts
| License | Apache-2.0 permissive |
| Python support | Supports the current Python release >=3.7 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | None |
| Maintenance | Aging 519 days since the last release |
| First released | |
| Downloads | 17,508,514 / month, #1,116 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Development Status :: 5 - Production/StableIntended Audience :: DevelopersLicense :: OSI Approved :: Apache Software LicenseProgramming Language :: PythonProgramming Language :: Python :: 3Programming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.7Programming Language :: Python :: 3.8Programming Language :: Python :: 3.9 |
Evidence: aliyun_semantic_conventions-1.2.0-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 › “aliyun semantic conventions”
- aliyun-semantic-conventionsProvides standardized semantic convention definitions for Aliyun…
- aliyun-traceManually creates traces for LLM applications using Aliyun's tracing…
- opentelemetry-semantic-conventionsProvides generated Python code for OpenTelemetry semantic…
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 aliyun-trace · openinference-semantic-conventions · opentelemetry-semantic-conventions-ai · loongsuite-util-genai · microsoft-agents-a365-observability-core · promptflow-tracing · python-semantic-release · opentelemetry-instrumentation-elasticsearch · opentelemetry-instrumentation-transformers