Product / UX / Telemetry & observability

Monocle

OpenTelemetry-native tracing SDK for GenAI applications and agents, built under the Linux Foundation AI & Data umbrella. It ships a metamodel mapping agents, prompts, tools and vector operations to standardized OTLP span attributes, framework adapters for LangChain, LlamaIndex, Haystack and Google ADK, and a companion trace-assertion testing library, monocle-test-tools. Traces export as OTLP to any collector or backend, with no hosted service of its own.

A Linux Foundation AI & Data project with no commercial tier or hosted platform; everything the SDK does ships in the published, Apache-2.0 repository. The monocle_apptrace PyPI package is declared as a measurement artifact because the SDK is the product - installing the package is installing Monocle, and there is no server or platform behind it whose use the package could stand in for. Its PyPI homepage points back at monocle2ai/monocle; the publisher of record is Okahu, the company that contributed Monocle to the Linux Foundation and maintains it, so a different publisher name is not a different project here. Verified 2026-09-02 via the monocle2ai/monocle repository.

Openness

5 high confidence

5.0

license: Apache-2.0(OSI, single root LICENSE)
source: public
core-gated: ungated(a Linux Foundation AI & Data project with no hosted platform or commercial tier of any kind

A pure OpenTelemetry instrumentation SDK and companion test-assertion library governed under the Linux Foundation AI & Data umbrella. Everything the product does - the metamodel, the framework adapters, the test tools - ships in this Apache-2.0 repository, and there is no vendor selling a hosted or gated tier alongside it.

https://raw.githubusercontent.com/monocle2ai/monocle/main/LICENSE recorded 2026-09-02
Apache License, Version 2.0 full text, the sole license file in the repository.
https://api.github.com/repos/monocle2ai/monocle/git/trees/main?recursive=1 recorded 2026-09-02
The whole repository tree, 873 paths. No ee/, enterprise, premium or entitlement path exists anywhere; the only LICENSE is the root Apache-2.0 file.
https://raw.githubusercontent.com/monocle2ai/monocle/main/README.md recorded 2026-09-02
Built under the Linux Foundation AI & Data umbrella. "This repository contains the Python implementation of Monocle's tracing SDK and metamodel", plus a separate monocle-test-tools package, with exports to local JSON files, console or an OTLP-compatible backend - no hosted service is described anywhere.

Adoption

2 medium confidence

2.0

The monocle_apptrace package draws 48,842 PyPI downloads a month, inside the 10K-100K band. The package is the product - an instrumentation SDK with no platform behind it - so its install count is Monocle's own usage rather than a proxy. 337 GitHub stars on a project started in 2024 corroborate a young Linux Foundation project still building adoption, without setting the level.

https://pypistats.org/api/packages/monocle_apptrace/recent recorded 2026-09-02
last_month = 48,842 downloads for monocle-apptrace (last_week 12,339, last_day 2,256)
https://pypi.org/pypi/monocle_apptrace/json recorded 2026-09-02
info.name monocle-apptrace, version 0.8.14, project_urls Homepage https://github.com/monocle2ai/monocle, author "Okahu Inc." <okahu-pypi@okahu.ai>, license Apache-2.0 - the package points back at the declared repository.
https://api.github.com/repos/monocle2ai/monocle recorded 2026-09-02
stargazers_count = 337, forks_count = 58, created_at 2024-06-15, pushed_at 2026-09-01 (actively maintained)

Capability

3 high confidence

3.0

A strong, standards-focused tracing and testing layer - broad framework coverage plus a genuinely distinctive trace-assertion test tool - but it stops at instrumentation and testing. There is no prompt management, evaluation, dataset or playground surface, which is exactly the openllmetry shape in this category: one rung below the Langfuse anchor at 4.

https://raw.githubusercontent.com/monocle2ai/monocle/main/README.md recorded 2026-09-02
Feature description: a metamodel for entities (agents, prompts, responses, tools, vector operations), instrumentation adapters for LangChain, LlamaIndex, Haystack, Google ADK, OpenAI and Anthropic, OTLP-compatible export, and a separate monocle-test-tools package for asserting on traces themselves - no evaluation, prompt-management or dataset section exists.

Verified 2026-09-02