langfuse
omnigres
langfuse | omnigres | |
---|---|---|
11 | 15 | |
3,681 | 1,278 | |
30.4% | 3.4% | |
9.9 | 9.7 | |
7 days ago | 5 days ago | |
TypeScript | C | |
GNU General Public License v3.0 or later | 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.
langfuse
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Top Open Source Prompt Engineering Guides & Tools🔧🏗️🚀
Langfuse is an open-source LLM engineering platform that helps teams collaboratively debug, analyze, and iterate on their LLM applications.
- Roast My Docs
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Show HN: Open-Source LLM Observability and Export to Grafana, Datadog etc.
Congrats on the Show! How’s this different from https://github.com/langfuse/langfuse? The exports seems really interesting
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RAG observability in 2 lines of code with Llama Index & Langfuse
Thus, we started working on Langfuse.com (GitHub) to establish an open source LLM engineering platform with tightly integrated features for tracing, prompt management, and evaluation. In the beginning we just solved our own and our friends’ problems. Today we are at over 1000 projects which rely on Langfuse, and 2.3k stars on GitHub. You can either self-host Langfuse or use the cloud instance maintained by us.
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langfuse VS agenta - a user suggested alternative
2 projects | 22 Nov 2023
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Ask HN: Who is hiring? (November 2023)
- We want to build a tool that is recommended here on HN: you can build a tool you would want to use yourself.
Please see more details here: https://langfuse.com/careers or reach out directly to me: [email protected]
[1] https://github.com/langfuse/langfuse
[2] https://create.t3.gg/
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How are generative AI companies monitoring their systems in production?
We struggled with this ourselves while building LLM-based products and then open-sourced our observability/monitoring tool [1]. Many use it to track RAG and agents in production, run custom evals on the production traces (focused on hallucination), and track how metrics are different across releases or customers. Feel free to dm if there is something specific you are looking to solve, happy to help.
[1] https://github.com/langfuse/langfuse
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LLM Analytics 101 - How to Improve your LLM app
Visit us on Discord and Github to engage with our project.
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Ask HN: Any tools or frameworks to monitor the usage of OpenAI API keys?
Maybe try https://github.com/langfuse/langfuse
It was recently shared on HN
- Show HN: Langfuse – Open-source observability and analytics for LLM apps
omnigres
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Building a Managed Postgres Service in Rust
I've been writing Postgres extensions for a few years now (mostly in C and Python), and I have to say that an important contribution from companies like Tembo and Omnigres is in the area of tooling and boilerplate. From workflows to Dockerfiles [0], that's important for the future of Postgres.
This has been discussed in the past [1], but the Postgres tooling ecosystem has been primarily C-Makefile—mailing list driven, and there used to be a lot of Makefile targets copy-pasting. Whenever major Postgres providers wanted to open source some of their extensions / sub-products. I still feel, however, that a lot of Postgres C-know-how is being slowly forgotten / lost, and I think it will be necessary again soon. Internal things as how Postgres handles varlena, StringInfo, JsonbValue, etc. The core abstractions that make Postgres work.
0: https://github.com/omnigres/omnigres/blob/master/Dockerfile
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PostgREST: Providing HTML Content Using Htmx
If you think that's cool, you might also want to check out Omnigres:
https://github.com/omnigres/omnigres
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Ask HN: Who is hiring? (December 2023)
At Omnigres, our north star is to enable developers to laser-focus on business needs instead of fighting technological challenges.
We're fighting the complexity and inefficiencies of contemporary stacks by removing them instead of hiding them.
At the core, we are turning Postgres into an Application Runtime. Why? Because we believe that code and data are inseparable in pretty much all of the line-of-business application systems. Turns out, when done this way, applications work a lot faster, require a lot less maintenance and are simply easier to write.
Our foundation is open source and is available at https://github.com/omnigres/omnigres
We're backed by some great early-stage VCs and looking to onboard people who can move quickly, learn on the go and maintain the focus on the goals. Another way to look at it: we want to meet other pragmatic idealists.
Email: [email protected]
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Ask HN: Who's looking for contributors for OSS Projects
Check out Omnigres: https://github.com/omnigres/omnigres/wiki/Bounties
They just launched a bounty program recently.
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Ask HN: Who is hiring? (November 2023)
Omnigres | Founding Engineer | SF Bay Area HQ | REMOTE
At Omnigres, our north star is to enable developers to laser-focus on business needs instead of fighting technological challenges.
We're fighting the complexity and inefficiencies of contemporary stacks by removing them instead of hiding them.
At the core, we are turning Postgres into an Application Runtime. Why? Because we believe that code and data are inseparable in pretty much all of the line-of-business application systems. Turns out, when done this way, applications work a lot faster, require a lot less maintenance and are simply easier to write.
Our foundation is open source and is available at https://github.com/omnigres/omnigres
We're backed by some great early-stage VCs and looking to onboard people who can move quickly, learn on the go and maintain the focus on the goals. Another way to look at it: we want to meet other pragmatic idealists.
You can apply here https://wellfound.com/jobs/2832133-founding-engineer
- Show HN: Pg_yregress, Structured Testing for Postgres
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Omnigres: Postgres as a Platform
Couple of questions (with notes): Yes, I'd really like to write code next to the db with more suitable (for task) languages like Python. But at the moment SQL alone is supported..? Could one connect with Jupyter notebook somehow and have a REPL like experience with Omnigres instance?
Also, this [1] seems intriguing. How do containers connect to the db? What would the performance differences to the "internal" approach? Is this feature more like Lambda or for long running processes? Or something else? In any case very interesting.
Thank you!
[1] https://github.com/omnigres/omnigres/tree/master/extensions/...
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The Database Package Manager for PostgreSQL Trusted Language Extensions
Very much in the same vein: https://github.com/omnigres/omnigres
What are some alternatives?
trulens - Evaluation and Tracking for LLM Experiments
hyperdx - Resolve production issues, fast. An open source observability platform unifying session replays, logs, metrics, traces and errors powered by Clickhouse and OpenTelemetry.
llama_index - LlamaIndex is a data framework for your LLM applications
pg_tle - Framework for building trusted language extensions for PostgreSQL
langchain - 🦜🔗 Build context-aware reasoning applications
supavisor - A cloud-native, multi-tenant Postgres connection pooler.
agenta - The all-in-one LLM developer platform: prompt management, evaluation, human feedback, and deployment all in one place.
examples - Your one-stop-shop to try Xata out. From packages to apps, whatever you need to get started.
opentelemetry-instrument-openai-py - OpenTelemetry instrumentation for the OpenAI Python library
pgjwt - PostgreSQL implementation of JWT (JSON Web Tokens)