Awesome Data Analysis
Section: Databases · In‑process analytical database designed for fast OLAP queries.
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Appears in 8 awesome lists
Efficiently run SQL queries on pandas DataFrame, duckplyr for R, Great Intro. ducklake - Duckdb extention for storing data in a datalake. fireducks - Speedier alternative to pandas with similar API. pandasvault - Large collection of pandas tricks. polars - Multi-threaded alternative to pandas.…
Section: Databases · In‑process analytical database designed for fast OLAP queries.
Section: Miscellaneous Tools · An in-process SQL OLAP database management system
Section: 1. Core Frameworks & Libraries · High-performance analytical in-process SQL database system. Fast, reliable, portable, and easy to use with rich SQL dialect support. Perfect for data processing and analytics workloads. MIT licensed.
Section: Databases · In-process analytical SQL database that queries Parquet and Arrow files directly, a common backend for research datasets
Section: General · Efficiently run SQL queries on pandas DataFrame, duckplyr for R, Great Intro. ducklake - Duckdb extention for storing data in a datalake. fireducks - Speedier alternative to pandas with similar API. pandasvault - Large collection of pandas tricks. polars - Multi-threaded alternative to pandas.…
Section: Other · DuckDB is an analytical in-process SQL database management system
Section: Database · An in-process SQL OLAP database management system; optimized for analytics and fast queries, similar to SQLite but for analytical workloads.
Section: Databases · | C++, Python | - ArcticDB is a high performance, serverless DataFrame database built for the Python Data Science ecosystem.
How to use the Hexagon Delegate to speed up model inference on mobile and edge devices. Also see blog post Accelerating TensorFlow Lite on Qualcomm Hexagon DSPs.
(label: good first issue) PyTorch is an open source machine learning library based on the Torch library, used for applications such as computer vision and natural language processing.
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…
Python module for building complex pipelines of batch jobs. Handles dependency resolution, workflow management, visualization, and Hadoop integration. Built at Spotify and battle-tested in production. Apache 2.0 licensed.
(formerly known as pytorch-transformers and pytorch-pretrained-bert) provides state-of-the-art general-purpose architectures (BERT, GPT-2, RoBERTa, XLM, DistilBert, XLNet, CTRL...) for Natural Language Understanding (NLU) and Natural Language Generation (NLG) with over 32+ pretrained models in…
"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…