3 مستودعات
Interactive environments for exploring, manipulating, and auditing datasets to improve quality.
Distinct from Data Orchestration Platforms: Shortlist candidates are enterprise data platforms or analytics platforms, not local interactive wrangling tools.
Explore 3 awesome GitHub repositories matching data & databases · Data Wrangling Platforms. Refine with filters or upvote what's useful.
OpenRefine is a data cleaning tool and wrangling platform used to transform raw, messy datasets into consistent and structured formats. It operates as a Java-based data processor that runs a local server and provides a web browser interface for managing and manipulating data. The platform includes a data reconciliation engine for matching local entries against external knowledge bases to standardize entities. It also functions as a web data augmentation tool, allowing users to fetch and integrate information from external web sources to enrich their datasets. The system provides a transforma
Provides a local environment for exploring, manipulating, and auditing large datasets to improve data quality.
VisiData is a terminal-based interactive data analysis tool and browser designed for exploring, filtering, and sorting large tabular datasets. It functions as a structured data inspector that loads and flattens complex formats like JSON, XML, and PCAP into interactive sheets, as well as a terminal file manager for navigating directories and performing staged filesystem operations. The project distinguishes itself by rendering data visualizations, such as scatter plots and histograms, directly in the terminal using Unicode Braille characters. It provides a Python-based data wrangling environme
Offers an interactive environment for cleaning and transforming datasets using Python expressions and regular expressions.
Rath is an LLM-powered data analytics platform and augmented analytics engine designed for automated data exploration and visualization. It serves as a self-service tool for discovering patterns within large datasets, translating natural language queries into visual charts, and identifying causal relationships between variables using graphical models. The platform distinguishes itself through an automated data visualization system that recommends optimal chart types and layouts to minimize perception errors. It integrates large language models to enable natural language data querying and empl
Provides an interactive environment for generating data summaries and suggesting cleaning operations to prepare datasets.