Simple command-line utility to convert CSV, TSV and Excel files into a single self-contained HTML page with search, filters, and sorting
- cli
- data-visualization
- golang
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Fast reading of delimited files
Read SPSS, Stata and SAS files from R
- spss
- stata
- r
- sas
An experimental embedded SQL engine in C++20. Query Parquet, CSV, JSON, Arrow, Avro, SQLite, and Excel files directly with SQL, in-process. Early-stage.
Download and use Census TIGER/Line shapefiles in R
Visualize your multi-stage Dockerfiles
A filesystem-like contents manager for multiple backends in Jupyter
A Ruby library to plot charts in PDF files
- prawn
- ruby
- graph
Gekko Trading Bot dataset dumps. Ready to use and download history files in SQLite format.
- gekko
- gekko-datasets
- datasets
- trading-datasets
CLI utility and Python module for analyzing log files and other data.
- log-analysis
- log-parser
- cli
- security
High-Dimensional Gene Expression and Morphology Profiles of Cells across 28,000 Genetic and Chemical Perturbations
Deep learning model for single-cell inference of multi-omic profiles from a single input modality.
- single-cell
- scrna-seq
- scatac-seq
- deep-neural-networks
Dataset of packed PE samples
- dataset
- pe-files
- upx
- samples
Rcpp Bindings to C++ parser for TOML files
- r
- c-plus-plus-11
- cran
- r-package
Python3 script that transfers files in Google Colab 10-50x faster, using multi-threaded parallel copying between Google Drive locations.
- colab-notebook
- multithreading
- parallel-computing
- copy
Search your Jupyter notebook files (.ipynb) from bash.
R COBOL DI (Data Integration) Package : Import COBOL CopyBook data files directly into R as properly structured data frames.
- r
- data-science
- dataframe
- data-frames
Neovim plugin that launches a Jupyter/IPython console in a split to run files, lines, and Spyder‑IDE‑style runcells, with a ZMQ‑powered variable explorer and data viewer.
- ipython
- jupyter
- spyder-ide
- variable-explorer
Pure Go library for reading and writing MATLAB .mat files (v5-v7.3+). No CGo, no external dependencies. Full support for numeric types, complex numbers, and multi-dimensional arrays. Cross-platform (Windows/Linux/macOS). Part of SciGoLib ecosystem.
- cross-platform
- data-science
- go
- golang
Splashing a User Interface onto h2o MOJO Files