openllmetry
openlit
openllmetry | openlit | |
---|---|---|
3 | 6 | |
1,299 | 334 | |
16.2% | 90.1% | |
9.8 | 9.2 | |
6 days ago | 4 days ago | |
Python | Python | |
Apache License 2.0 | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
openllmetry
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Pydantic Logfire
I’m also aware of other OSS initiatives doing similar initiatives, so I wouldn’t say no one has ever done what your doing.
[1] https://github.com/traceloop/openllmetry
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Show HN: You don't need to adopt new tools for LLM observability
So why should it be different when the app you're building happened to be using LLMs?
So today we're open-sourcing OpenLLMetry-JS. It's an open protocol and SDK, based on OpenTelemetry, that provides traces and metrics for LLM JS/TS applications and can be connected to any of the 15+ tools that already support OpenTelemetry. Here's the repo: https://github.com/traceloop/openllmetry-js
A few months ago we launched the python flavor here (https://news.ycombinator.com/item?id=37843907) and we've now built a compatible one for Node.js.
Would love to hear your thoughts and opinions!
Check it out -
Docs: https://www.traceloop.com/docs/openllmetry/getting-started-t...
Github:
openlit
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Should I add CLA to my Open-source project?
Last week we showcased our open-source project, OpenLIT (https://github.com/openlit/openlit), here, and thanks to this incredible community, we hit 300 stars in just a couple of days!
One of my mentors, a core lead on OpenTelemetry, suggested we consider adding a Contributor License Agreement (CLA) to our project, similar to what has been done with OpenTelemetry.
I understand the potential legal benefits a CLA offers, such as ensuring contributions can be freely used and distributed, which could be crucial for the project's long-term viability and to avoid legal complications.
However, I’m equally concerned about the potential downsides, especially regarding community contributions. I worry that a CLA might stop new contributors who prefer to avoid legal hurdles or are reluctant to sign documents. Since OpenLIT aims to be truly open-source and community-driven, keeping the contribution process as straightforward as possible is essential to me.
So, I’m turning to you, HN community, for guidance:
- Have you implemented a CLA for your project? What impact did it have on contributions?
- Show HN: OpenLIT – Open-Source LLM Observability with OpenTelemetry
- Doku: Open-source LLM observability platform
- Show HN: Open-Source LLM Observability and Export to Grafana, Datadog etc.
- Show HN: LLM Observability Platform
What are some alternatives?
ludwig - Low-code framework for building custom LLMs, neural networks, and other AI models