Make Your Company Data Driven. Connect to any data source, easily visualize, dashboard and share your data.
- redash
- python
- visualization
- analytics
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Make Your Company Data Driven. Connect to any data source, easily visualize, dashboard and share your data.
Redefined chart library built with React and D3
Data Apps & Dashboards for Python. No JavaScript Required.
A reactive notebook for Python — run reproducible experiments, query with SQL, execute as a script, deploy as an app, and version with git. Stored as pure Python. All in a modern, AI-native editor.
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.
🪄 Data Formulator is an interactive AI-powered data analysis system makes it easy to connect, explore and visualize data.
WebGL2 powered visualization framework
Statsmodels: statistical modeling and econometrics in Python
Fast and Accurate ML in 3 Lines of Code
Open Source Feature Flags, Experimentation, and Product Analytics
Multi-Dimensional charting built to work natively with crossfilter rendered with d3.js
Countly is a privacy-first, AI-powered analytics and engagement platform for understanding and optimizing customer journeys across digital applications, from desktop and mobile to IoT and connected environments.
Lightning ⚡️ fast forecasting with statistical and econometric models.
Open-source reporting platform to build and share live dashboards from APIs, SQL and NoSQL databases, with powerful AI assistant, scheduling, and embeddable charts 📈📊
MIMIC Code Repository: Code shared by the research community for the MIMIC family of databases
Python Toolkit for Causal and Probabilistic Reasoning
A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.
A library for debugging/inspecting machine learning classifiers and explaining their predictions
Lightweight analytics abstraction layer for tracking page views, custom events, & identifying visitors
A visual, technical analysis and charting (Candlestick, OHLC, indicators) library built on D3.
Powerful Analytics Solution. Setup in 30 seconds. Display all your data on a Simple, AI-powered dashboard. Fully self-hostable and GDPR compliant. Alternative to Google Analytics, MixPanel, Plausible, Umami & Matomo.
Python library for time series forecasting using scikit-learn compatible models, statistical methods, and foundation models
moDel Agnostic Language for Exploration and eXplanation
Notebooks for financial economics. Keywords: Jupyter notebook pandas Federal Reserve FRED Ferbus GDP CPI PCE inflation unemployment wage income debt Case-Shiller housing asset portfolio equities SPX bonds TIPS rates currency FX euro EUR USD JPY yen XAU gold Brent WTI oil Holt-Winters time-series forecasting statistics econometrics