xdssio / big_data_benchmarksLinks
big data technologies comparisons for cleaning, manipulating and generally wrangling data in purpose of analysis and machine learning.
☆65Updated 5 years ago
Alternatives and similar repositories for big_data_benchmarks
Users that are interested in big_data_benchmarks are comparing it to the libraries listed below
Sorting:
- Automated Data Science and Machine Learning library to optimize workflow.☆105Updated 2 years ago
- Tries to shrink your Pandas column dtypes with no data loss so you have more spare RAM☆84Updated last year
- Talks about vaex☆36Updated 2 years ago
- Makes Interactive Chart Widget, Cleans raw data, Runs baseline models, Interactive hyperparameter tuning & tracking☆55Updated 3 years ago
- General Interpretability Package☆58Updated 2 years ago
- Hypergol is a Data Science/Machine Learning productivity toolkit to accelerate any projects into production with autogenerated code, stan…☆53Updated 2 years ago
- python library for automated dataset normalization☆116Updated 2 years ago
- MLOps simplified. One-stop AI delivery platform, all the features you need.☆103Updated this week
- Data Analysis Baseline Library☆133Updated last year
- A machine learning testing framework for sklearn and pandas. The goal is to help folks assess whether things have changed over time.☆104Updated 3 years ago
- Repository for the research and implementation of categorical encoding into a Featuretools-compatible Python library☆51Updated 3 years ago
- Automated Exploratory Data Analysis. Simplifying Data Exploration☆36Updated 5 years ago
- A Pythonic introduction to methods for scaling your data science and machine learning work to larger datasets and larger models, using th…☆117Updated 2 years ago
- Using Kafka-Python to illustrate a ML production pipeline☆112Updated 2 years ago
- edaviz - Python library for Exploratory Data Analysis and Visualization in Jupyter Notebook or Jupyter Lab☆225Updated 5 years ago
- An abstraction layer for parameter tuning☆35Updated last year
- Python implementation of R package breakDown☆43Updated 2 years ago
- ForML - A development framework and MLOps platform for the lifecycle management of data science projects☆106Updated 2 years ago
- Interactive visualization of machine learning model evaluation metrics☆64Updated 6 years ago
- A package for data science practitioners. This library implements a number of helpful, common data transformations with a scikit-learn fr…☆57Updated 4 years ago
- Tutorial for a new versioning Machine Learning pipeline☆80Updated 4 years ago
- 🎛 Distributed machine learning made simple.☆49Updated 2 years ago
- Pre-Modelling Analysis of the data, by doing various exploratory data analysis and Statistical Test.☆51Updated 2 years ago
- Natural language processing support for Pandas dataframes.☆217Updated 7 months ago
- Summarise and explore Pandas DataFrames☆98Updated 5 years ago
- Powerful rapid automatic EDA and feature engineering library with a very easy to use API 🌟☆53Updated 3 years ago
- Record matching and entity resolution at scale in Spark☆35Updated last year
- A scikit-learn compatible estimator based on business-rules with interactive dashboard included☆28Updated 4 years ago
- ☆103Updated 2 years ago
- Tabular feature encoding pipelines for machine learning with options for string parsing, missing data infill, and stochastic perturbation…☆164Updated 3 months ago