Apache Superset is a Data Visualization and Data Exploration Platform
- superset
- apache
- apache-superset
- data-visualization
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Apache Superset is a Data Visualization and Data Exploration Platform
The modern link attribution platform. Loved by world-class engineering teams at Twilio, Zillow, Jobber, Vercel, Raycast, and more.
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.
Open Source Feature Flags, Experimentation, and Product Analytics
An open source python library for automated feature engineering
The Open Source Feature Store for AI/ML
Business intelligence as code: build fast, interactive data visualizations in SQL and markdown
🦄 Sourcerer app makes a visual profile from your GitHub and git repositories.
Fast data visualization and GUI tools for scientific / engineering applications
Windows Events Attack Samples
Python Streaming DataFrames for Kafka
Clean APIs for data cleaning. Python implementation of R package Janitor
An open source DevOps tool from the CNCF for packaging and versioning AI/ML models, datasets, code, and configuration into an OCI Artifact.
Hopsworks - Data-Intensive AI platform with a Feature Store
Main yt repository
Desbordante is a high-performance data profiler that is capable of discovering many different patterns in data using various algorithms. It also allows to run data cleaning scenarios using these algorithms. Desbordante has a console version and an easy-to-use web application.
Code and data used to create the examples in "Evidence-based Software Engineering based on the publicly available data"
The repository host gives no description.
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.
React Library for Audio Equalizers & Filter Visualization
Realistic synthetic events for testing, demos, and pipelines — streamed live or generated in bulk