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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dplyr: A grammar of data manipulation
- r
- data-manipulation
- grammar
Up to 100x faster strings for C, C++, CUDA, Python, Rust, Swift, JS, & Go, leveraging NEON, AVX2, AVX-512, SVE, GPGPU, & SWAR to accelerate search, hashing, sorting, edit distances, sketches, and memory ops 🦖
DataFrames for Go: For statistics, machine-learning, and data manipulation/exploration
- golang
- go
- data-science
- machine-learning
Easy to use .NET library for data and time series manipulation and for scientific programming
A fresh approach to string manipulation in R
- r
- strings
- regular-expression
A tidy API for graph manipulation
- r
- network-analysis
- igraph
- tidyverse
Series and Panels for Real-time and Exploratory Analysis of Data Streams
- time-series
- real-time
- data-stream
- series-manipulation
[IROS 2020] se(3)-TrackNet: Data-driven 6D Pose Tracking by Calibrating Image Residuals in Synthetic Domains
- robotics
- tracking
- computer-vision
- pose-estimation
Fast and Portable Character String Processing in R (with the Unicode ICU)
- stringi
- icu
- icu4c
- r
A Toolbox for Non-Tabular Data Manipulation
functional data manipulation for pandas