Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
- data-analysis
- pandas
- flexible
- alignment
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Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
Open source, privacy-first web analytics. Lightweight, cookie-free Google Analytics alternative. Self-hosted or cloud.
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.
The best free and open-source automated time tracker. Cross-platform, extensible, privacy-focused.
A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.
📱📈An elegant, interactive and flexible charting library for mobile.
Charts library for Android compatible with API 8+, several chart types with scaling, scrolling and animations 📊
A scikit-learn compatible neural network library that wraps PyTorch
Finished, accessible charts that any page, and any agent, can add with one script tag or one validated JSON config.
Fast, flexible and easy to use probabilistic modelling in Python.
:bar_chart: A library of modular chart components built on D3
D3 based data-focused charting library. Designed with passion. Flexible.
A flexible, intuitive and fast forecasting library
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.
Lightweight and extensible compatibility layer between dataframe libraries!
Python library for time series forecasting using scikit-learn compatible models, statistical methods, and foundation models
moDel Agnostic Language for Exploration and eXplanation
An extensible framework for linking databases and interactive views.
Flexible command line tool to create graphs from CSV data
An elegant Python interface for visualization on the web platform to interactively generate insights into multidimensional images, point sets, and geometry.
An R package to flexible rearrange, reshape and aggregate data
A tool that supports one-button reproducible workflows with the Jupyter Notebook and Scons.
🇪🇺 Warehouse-native Analytics compatible with Google Analytics and Matomo tracking protocols. Ingest into ClickHouse, BigQuery or CSV/Parquet on S3/GCS/local fs while maintaining complete control over your data.
Graph plotting package with a small API and sensible defaults powered by gnuplot.