Apache Superset is a Data Visualization and Data Exploration Platform
- superset
- apache
- apache-superset
- data-visualization
47,133 repositories indexed
1–24 of 27 · Most stars
Apache Superset is a Data Visualization and Data Exploration Platform
Turns Data and AI algorithms into production-ready web applications in no time.
GenBI (Generative BI) for AI agents, an open-source, governed text-to-SQL through an open context layer that turns natural-language questions into trusted dashboards, charts, and SQL across 20+ data sources, such as BigQuery, Snowflake, PostgreSQL, ClickHouse, Amazon Redshift, Databricks and more.
AI Observability & Evaluation
Always know what to expect from your data.
Kedro is a toolbox for production-ready data science. It uses software engineering best practices to help you create data engineering and data science pipelines that are reproducible, maintainable, and modular.
An open source python library for automated feature engineering
The Open Source Feature Store for AI/ML
Aim 💫 — An easy-to-use & supercharged open-source experiment tracker.
Fast data visualization and GUI tools for scientific / engineering applications
pandas on AWS - Easy integration with Athena, Glue, Redshift, Timestream, Neptune, OpenSearch, QuickSight, Chime, CloudWatchLogs, DynamoDB, EMR, SecretManager, PostgreSQL, MySQL, SQLServer and S3 (Parquet, CSV, JSON and EXCEL).
3D visualization and mesh analysis for science and engineering
Feature engineering and selection open-source Python library compatible with sklearn.
Python Stream Processing
Python Streaming DataFrames for Kafka
Clean APIs for data cleaning. Python implementation of R package Janitor
Main yt repository
No description provided by the repository host.
NitroFE is a Python feature engineering engine which provides a variety of modules designed to internally save past dependent values for providing continuous calculation.
Python package implementing ML feature engineering and pre-processing for polars or pandas dataframes.
:dart: Accurate sums and dot products for Python.
Realistic synthetic events for testing, demos, and pipelines — streamed live or generated in bulk
Build, test, deploy, iterate - Dev and prod tool for data science pipelines
A Python library built on pandas and geopandas for linearly referenced data management, engineering, and analysis using the DataFrame accessor pattern (.lr).