. Practical AI engineering and generative AI explained simply: RAG, agents, and LLM application patterns for builders.
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Machine learning development environment for data science and AI/ML engineering teams.
Feature engineering package with SKlearn like functionality.
Python library for automated feature engineering.
Current flagship model for agentic engineering and stronger coding workflows.
Open-source all-in-one platform for engineering AI products. Traces, Evals, Datasets, Labels.
LangChain provides the engineering platform and open source frameworks developers use to build, test, and deploy reliable AI agents.
A generic approach that allows to mimic most factorization models by feature engineering.
An autonomous agent designed to navigate the complexities of software engineering. opensource.
Cleansing, pre-processing, feature engineering, exploratory data analysis and easy ML with PySpark backend.
A JavaScript application framework for machine learning and its engineering.
Supports teaching, studying or skills practice with AI-guided learning tools.
Prompt Engineering platform. Collaborate, test, evaluate, and monitor your LLM applications.
Quix is the agentic AI platform for hardware engineering — turn test-rig and sensor data into real-time insight.
Apache Spark is a multi-language engine for executing data engineering, data science, and machine learning on single-node machines or clusters.
Specialized AI vision for extracting engineering specs from PDF/JPG to Excel.
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