objectiv-analytics
logos-shift-client
| objectiv-analytics | logos-shift-client | |
|---|---|---|
| 22 | 3 | |
| 469 | 45 | |
| - | - | |
| 0.0 | 8.3 | |
| over 1 year ago | 3 months ago | |
| Python | Python | |
| Apache License 2.0 | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
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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.
objectiv-analytics
- Get tools to test, validate and debug your tracking instrumentation → Set up error-free user behavior tracking → No more missing/faulty data downstream.
- Open your python notebook → Work directly on super-structured raw data that's designed for modeling → Build analytics models without data prepwork.
- Open your python notebook → Take pre-built analytics models (or build your own) → Turn them into SQL with one command → Build BI dashboards in minutes.
- Run product analytics from your notebook with full control over data & models.
- Powerful product analytics for data teams. Objectiv is a data collection & modeling platform. Built for data teams to run product analytics from their notebooks with full control over data and models.
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Open-source data collection & modeling platform for product analytics
Hope you like it. Check out the project on GitHub, and please do give us a star so others can find us too! https://github.com/objectiv/objectiv-analytics
- The complete toolkit for product analytics modeling. Notebook-native, open-source and free to use.
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A community developing a Hugging Face for customer data modeling
One of the creators of Objectiv here. Would like to get your opinion on our community-driven open-source project, which aims to do for customer data modeling what Hugging Face did for NLP: https://github.com/objectiv/objectiv-analytics
- Objectiv is ready-to-use infrastructure for advanced product analytics
logos-shift-client
- Show HN: Zero dependency LLM standby, rollouts, no proxy
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Show HN: Logos Shift Cloud – automatically finetune and replace expensive LLM
The client code is open sourced at https://github.com/virevolai/logos-shift-client/ which includes the instrumentation, router for switching, and exactly how this works.
It's only 530 lines of code. No complex libraries.
If you do not want to use the Cloud solution, you can always just use Logos Shift for saving to local host and finetune yourself.
logos_shift = LogosShift(api_key=None, filename="api_calls.log")
Let us know how we can make this experience better.
- Show HN: Logos Shift – Finetune your own LLM and rollout seamlessly, local/cloud
What are some alternatives?
zillion - Make sense of it all. Semantic data modeling and analytics with a sprinkle of AI. https://totalhack.github.io/zillion/
prometheus-fastapi-instrumentator - Instrument your FastAPI with Prometheus metrics.
pandas-paddles - Access the parent Pandas data frame in loc[], iloc[], assign(), and others Pandas helpers
pyccolo - Declarative instrumentation for Python.
pandera - A light-weight, flexible, and expressive statistical data testing library
ros2_tracing - Tracing tools for ROS 2.
data-diff - Compare tables within or across databases
secimport - eBPF Python runtime sandbox with seccomp (Blocks RCE).
Restaurant-Monitoring-System - Backend system for restaurant management
client_python - Prometheus instrumentation library for Python applications
Snowplow - The enterprise-grade behavioral data engine (web, mobile, server-side, webhooks), running cloud-natively on AWS and GCP
objection - 📱 objection - runtime mobile exploration