Awesome Data Analysis
Section: Useful Python Tools for Data Analysis · Automated feature engineering.
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Appears in 6 awesome lists
Open-source Python library for automated feature engineering. Transforms transactional and relational datasets into feature matrices for machine learning using Deep Feature Synthesis with reusable primitives. BSD-3-Clause licensed.
Section: Useful Python Tools for Data Analysis · Automated feature engineering.
Section: Miscellaneous Tools · An open source framework for automated feature engineering written in python
Section: Feature Engineering · Python library for automated feature engineering.
Section: 8. MLOps / LLMOps & Production · Open-source Python library for automated feature engineering. Transforms transactional and relational datasets into feature matrices for machine learning using Deep Feature Synthesis with reusable primitives. BSD-3-Clause licensed.
Section: AutoML · An open source framework for automated feature engineering.
Section: Data Science and Analytics · An open source python library for automated feature engineering
Comet's open-source AI observability and evaluation platform: deep tracing of LLM calls, conversation logging, and agent activity, plus built-in eval metrics, prompt versioning, guardrails, and the Opik Agent Optimizer. Worth including because it unifies observability, verification, and…
"Use airflow to author workflows as directed acyclic graphs (DAGs) of tasks. The airflow scheduler executes your tasks on an array of workers while following the specified dependencies. Rich command line utilities make performing complex surgeries on DAGs a snap. The rich user interface makes it…
A fast and simple framework for building and running distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library. ray.io
Build and share delightful machine learning apps, all in Python. The de facto standard for creating interactive ML demos with automatic UI generation from function signatures. Powers thousands of Hugging Face Spaces.
| Python | - Parallel computing with task scheduling in Python with a Pandas like API
Workflow management system that makes it easy to take your data pipelines and add semantics like retries, logging, dynamic mapping, caching, failure notifications, and more.