9 个仓库
Libraries for processing, manipulating, and analyzing structured and scientific data.
Explore 9 awesome GitHub repositories matching part of an awesome list · Data Analysis Tools. Refine with filters or upvote what's useful.
This project is a business intelligence suite and SQL data visualization platform used for data analysis, reporting, and monitoring. It provides a web application for exploring datasets and building interactive dashboards, complemented by a web-based SQL query editor for analyzing raw data from connected stores. The platform features a semantic data layer to define standardized metrics and dimensions, ensuring consistent data interpretation across reports. It includes a security framework with role-based access control to manage user permissions and authentication across shared dashboards. T
Interactive platform for data exploration and visualization.
Vaex is a high-performance Apache Arrow DataFrame library and out-of-core data processing engine designed to handle billion-row tabular datasets in Python. It functions as a lazy evaluation framework that defers computations and transformations until results are required, enabling the processing of datasets that exceed available system RAM by mapping files directly from disk. The project distinguishes itself as a tool for big data visualization and exploration, specifically integrated for use within interactive notebooks. It provides specialized capabilities for machine learning feature engin
High-performance lazy data frames for big tabular datasets.
NumPy and Pandas interface to Big Data
Interface for querying big data using familiar syntax.
Mars is a tensor-based unified framework for large-scale data computation which scales numpy, pandas, scikit-learn and Python functions.
Distributed tensor-based framework for large-scale data computation.
Free, open-source, online appointments platform based on Laravel PHP Framework.
Scheduling and appointment management system for contractors and clients.
Tools for exploratory data analysis in Python
Tools for exploratory data analysis and feature engineering.
Pandas, Polars, Spark, and Snowpark DataFrame comparison for humans and more!
Compare and validate data frames across different libraries.
Sparkling Pandas
Run pandas-style operations on top of Apache Spark.
Tool for identifying technologies used on specific websites.