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Statsmodels: statistical modeling and econometrics in Python
- python
- statistics
- econometrics
- data-analysis
▁▅▆▃▅ Git quick statistics is a simple and efficient way to access various statistics in git repository.
- bash
- git
- statistics
- reviewer
A curated list of awesome R packages, frameworks and software.
Lightning ⚡️ fast forecasting with statistical and econometric models.
- time-series
- statistics
- forecasting
- arima
Blazing-fast, Neuro-symbolic Data-Wrangling toolkit
- csv
- data-wrangling
- opendata
- data-engineering
Visualise Go runtime metrics in real time
- go
- runtime
- garbage-collector
- plots
A well tested and comprehensive Golang statistics library package with no dependencies.
- statistics
- data
- stats
- machine-learning
Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart, Haskell, Ruby, F#, Rust) with zero dependencies
- machine-learning
- scikit-learn
- statistical-learning
- xgboost
App to easily query, script, and visualize data from every database, file, and API.
An interactive graphing library for R
- r
- ggplot2
- javascript
- data-visualization
The Composer of ggplots
- rstats
- ggplot2
- visualization
- ggplot-extension
2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.
Enhancing {ggplot2} plots with statistical analysis 📊📣
A Grammar of Animated Graphics
- rstats
- ggplot2
- animation
- transition
Comprehensive list of color palettes available in R ❤️🧡💛💚💙💜
Readings in applied data science
- teaching
- data-science
Supply a wrapper ``StockDataFrame`` based on the ``pandas.DataFrame`` with inline stock statistics/indicators support.
:lock_with_ink_pen: Opinionated, typographic-centric ggplot2 themes and theme components
:round_pushpin: Repel overlapping text labels away from each other in your ggplot2 figures.
- ggplot2
- cran
- visualization
- text
R interface for Apache Spark
Accelerating ggplot2
- visualization
- rstats
- ggplot2
- ggplot-extension
API Observability. Trace API calls and Monitor API performance, health and usage statistics in Node.js Microservices.
Introduction to Statistics using Python