Statistical Machine Intelligence & Learning Engine
-
Updated
Jul 16, 2024 - Java
Statistical Machine Intelligence & Learning Engine
Structured data processing in Kotlin
Distributed DataFrame for Python designed for the cloud, powered by Rust
Dataframes powered by a multithreaded, vectorized query engine, written in Rust
Scraper used for recording changes to Portland jail database
Apache DataFusion SQL Query Engine
Modin: Scale your Pandas workflows by changing a single line of code
Snowflake Snowpark Python API
Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage and metadata. Runs and scales everywhere python does.
In-memory Java DataFrame library
ArcticDB is a high performance, serverless DataFrame database built for the Python Data Science ecosystem.
Apache DataFusion Ballista Distributed Query Engine
Various indicators developed or collected for the Freqtrade
Fuzzily search a dataframe's names, labels, and levels to find the variable you need.
File Management, School Automation, Text Automation, Web Crawler, Web Automation, Data Preprocessing, Dataframe Editor
Technical Analysis Indicators - Pandas TA is an easy to use Python 3 Pandas Extension with 150+ Indicators
C++ DataFrame for statistical, Financial, and ML analysis -- in modern C++ using native types and contiguous memory storage
Add a description, image, and links to the dataframe topic page so that developers can more easily learn about it.
To associate your repository with the dataframe topic, visit your repo's landing page and select "manage topics."