Side by side
Feature-engine vs qsv
Both stand on data preparation software. Which one you can start free with, which one lets you read the code, and what each costs once you pay.
Free plan Linux
Choose Feature-engine if your machine-learning work uses pandas dataframes and scikit-learn, and you want feature transformations that fit into scikit-learn workflows. Its free BSD-licensed package covers a broad set of preparation and selection tasks. It is intended for Python 3.9 or later and is listed for Linux.
Visit Feature-engine Free plan LinuxMacWeb+1
qsv offers broad format support and streaming commands for data-wrangling work, with qsv pro adding a graphical app. Check the UTF-8 requirement and Free plan import limit against your workflow.
Visit qsvThe facts
| Feature-engine | qsv | |
|---|---|---|
| Free plan | Yes | Yes |
| Open source | Not published | Not published |
| Runs on | Linux | Linux, Mac, Web, Windows |
| Lowest paid plan | Not published | Pro: $99.99 a month |
| Plans published | None | 3 |
| Maker | Not published | Not published |
| Website | feature-engine.trainindata.com | qsv.dathere.com |
| On data preparation software | #14 of 28 | #10 of 28 |
Feature-engine: what it does well
- Covers imputation, encoding, discretisation and outlier handling.
- Retains dataframe column names and order after transformation.
- Works with scikit-learn pipelines, cross-validation and hyperparameter search.
- Allows users to select which variables transformers process.
- Free to use under the BSD 3-Clause License.
What to know first
- Requires Python 3.9 or later.
- The listed platform is Linux.
- Users need a Python environment to install the package.
qsv: what it does well
- More than 50 data-wrangling commands
- Most commands use constant memory
- Supports spreadsheet, database, and JSON formats
- Includes Luau and Python scripting
- Free plan requires no license key
What to know first
- Input must be UTF-8 encoded
- Free plan limits spreadsheet imports to 1MB
- Pro costs $99.99 a month after trial
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