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Evidently is an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
A comprehensive Rust translation of the code from Sebastian Raschka's Build an LLM from Scratch book.
Easy web analytics. No tracking of personal data.
Semantic search and document parsing tools for the command line
Full named-entity (i.e., not tag/token) evaluation metrics based on SemEval’13
An action which manages a github release
Ship agents faster. Plano is delivery infrastructure for agentic applications. A models-native proxy server & dataplane that offloads the plumbing work, so you stay focused on product logic.
Scalable datastore for metrics, events, and real-time analytics - InfluxDB3-Core fork Unlocked w/ Enterprise Features
🚀 The fast, Pythonic way to build MCP servers and clients
Hurl, run and test HTTP requests with plain text.
Claude Code is an agentic coding tool that lives in your terminal, understands your codebase, and helps you code faster by executing routine tasks, explaining complex code, and handling git workflo…
A curated list of threat modeling resources (Books, courses - free and paid, videos, tools, tutorials and workshops to practice on ) for learning Threat modeling and initial phases of security review.
⚔️Python Rate-Limiter using Leaky-Bucket Algorithm Family
Workflows are an event-driven, async-first, step-based way to control the execution flow of AI applications like agents.
vLLM’s reference system for K8S-native cluster-wide deployment with community-driven performance optimization
Containerization is a Swift package for running Linux containers on macOS.
Python composable command line interface toolkit
Deploy your agentic worfklows to production
From data to vector database effortlessly
Weighs the soul of incoming HTTP requests to stop AI crawlers