2 best evals & observability GitHub repos to use
Test whether your AI actually works, and see what it did when it did not. Eval harnesses, tracing, and the tooling that turns vibes into a number.
Find GitHub repos worth using by topic, language, license and how active they are. Navid's picks come first, and each one opens its own page.
This is a list of the best evals & observability GitHub repos.
In fact, it has 2 of them, with Navid's picks first.
So if you want evals & observability GitHub repos worth your time, you'll love this list.
Test whether your AI actually works, and see what it did when it did not. Eval harnesses, tracing, and the tooling that turns vibes into a number.
Here's what's inside:
Each one comes with what it covers and who it's for.
What are the best evals & observability GitHub repos?
Here's the list at a glance.
Top 2 evals & observability GitHub repos
1. Netdata by netdata
X-Ray Vision for your infrastructure! Every Metric, Every Second. No BS.
[!WARNING] People get addicted to Netdata. Once you use it on your systems, there's no going back.
Netdata is an open-source, real-time infrastructure monitoring platform. Monitor, detect, and act across your entire infrastructure.
Stars: 81k
Language: Go
License: GPL-3.0
View Netdata on GitHub · More about Netdata
2. Libero by Lifelong-Robot-Learning
LIBERO is designed for studying knowledge transfer in multitask and lifelong robot learning problems. Successfully resolving these problems require both declarative knowledge about objects/spatial relationships and procedural knowledge about motion/behaviors. LIBERO provides: a procedural generation pipeline that could in principle generate an infinite number of manipulation tasks. 130 tasks grouped into four task suites: LIBERO-Spatial, LIBERO-Object, LIBERO-Goal, and LIBERO-100. The first three task suites have controlled distribution shifts, meaning that they require the transfer of a specific type of knowledge. In contrast, LIBERO-100 consists of 100 manipulation tasks that require the transfer of entangled knowledge. LIBERO-100 is further splitted into LIBERO-90 for pretraining a policy and LIBERO-10 for testing the agent's downstream lifelong learning performance. five research topics. three visuomotor policy network architectures. three lifelong learning algorithms with the sequential finetuning and multitask learning baselines.
Please run the following commands in the given order to install the dependency for LIBERO.
We provide high-quality human teleoperation demonstrations for the four task suites in LIBERO. To download the demonstration dataset, run:
Stars: 2.4k
Language: Jupyter Notebook
License: MIT
Install:
bash git clone https://github.com/Lifelong-Robot-Learning/LIBERO.git
Final thoughts on evals & observability GitHub repos
The best evals & observability repo is the one you come back to. Pick 2 or 3 from this list, give them a month, and keep the ones you look forward to.
Navid Moazzez
AI business strategist & AI OS builder
Navid Moazzez helps creators and founders master AI and build their own AI Operating System (AI OS) to automate their business and life.
Navid.me is reader-supported. When you buy through links on this site, I may earn an affiliate commission. Learn more.
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