Experiments
Code and notebooks containing my experiments in data science, EDA, visualization, and machine learning
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Rath | 3,717 | 4 months ago | 52 | agpl-3.0 | TypeScript | |||||
| Next generation of automated data exploratory analysis and visualization platform. | ||||||||||
| Scattertext | 2,131 |  | 8 | 2 | 8 months ago | 148 | April 18, 2023 | 22 | apache-2.0 | Python |
| Beautiful visualizations of how language differs among document types. | ||||||||||
| Graphic Walker | 2,077 | 3 months ago | 16 | apache-2.0 | TypeScript | |||||
| An open source alternative to Tableau. Easily embedded in any web apps. | ||||||||||
| Dataexplorer | 486 | 1 | 3 months ago | 11 | December 15, 2020 | 16 | other | R | ||
| Automate Data Exploration and Treatment | ||||||||||
| Autoeda Resources | 299 | 3 years ago | 1 | cc-by-4.0 | HTML | |||||
| A list of software and papers related to automatic and fast Exploratory Data Analysis | ||||||||||
| Inspectdf | 236 | 1 | 2 years ago | 12 | August 09, 2022 | 5 | R | |||
| 🛠️ 📊 Tools for Exploring and Comparing Data Frames | ||||||||||
| Pivot Chart | 92 | a month ago | 9 | mit | TypeScript | |||||
| light and fast implementation of web pivot table / pivot chart components. | ||||||||||
| Covid 19 Casestudy And Predictions | 90 | 2 years ago | mit | Jupyter Notebook | ||||||
| This repository is a case study, analysis and visualization of COVID-19 Pandemic spread along with prediction models. | ||||||||||
| Inspectdr.jl | 55 | 3 years ago | 15 | mit | Julia | |||||
| Fast, interactive Julia/GTK+ plots (+Smith charts +Gtk widget +Cairo-only images) | ||||||||||
| Sliceguard | 43 |  | 1 | 4 months ago | 32 | November 28, 2023 | mit | Python | ||
| A library for detecting problematic data segments in structured and unstructured data with few lines of code. | ||||||||||
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Python
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Exploratory Data Analysis