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.☆104Updated 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
- General Interpretability Package☆58Updated 2 years ago
- python library for automated dataset normalization☆116Updated 2 years ago
- Powerful rapid automatic EDA and feature engineering library with a very easy to use API 🌟☆53Updated 3 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
- Automated Exploratory Data Analysis. Simplifying Data Exploration☆36Updated 5 years ago
- 🎛 Distributed machine learning made simple.☆49Updated 2 years ago
- Repository for the research and implementation of categorical encoding into a Featuretools-compatible Python library☆51Updated 2 years ago
- A bit of extra usability for sqlalchemy v2.☆77Updated last year
- A Pythonic introduction to methods for scaling your data science and machine learning work to larger datasets and larger models, using th…☆115Updated 2 years ago
- MLOps simplified. One-stop AI delivery platform, all the features you need.☆100Updated this week
- ForML - A development framework and MLOps platform for the lifecycle management of data science projects☆107Updated 2 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
- Set of iPython and Jupyter extensions to improve user experience☆50Updated 5 years ago
- Instant search for and access to many datasets in Pyspark.☆34Updated 2 years ago
- Makes Interactive Chart Widget, Cleans raw data, Runs baseline models, Interactive hyperparameter tuning & tracking☆55Updated 3 years ago
- Interactive visualization of machine learning model evaluation metrics☆63Updated 5 years ago
- Tutorial for a new versioning Machine Learning pipeline☆80Updated 4 years ago
- Data Analysis Baseline Library☆133Updated 9 months ago
- vtreat is a data frame processor/conditioner that prepares real-world data for predictive modeling in a statistically sound manner. Distr…☆121Updated 6 months ago
- Record matching and entity resolution at scale in Spark☆35Updated last year
- First class datasets in JupyterLab☆178Updated last year
- A machine learning testing framework for sklearn and pandas. The goal is to help folks assess whether things have changed over time.☆102Updated 3 years ago
- Pandas helper functions☆31Updated 2 years ago
- Primrose modeling framework for simple production models☆32Updated last year
- Anovos - An Open Source Library for Scalable feature engineering Using Apache-Spark☆76Updated 2 years ago
- ☆78Updated 4 years ago
- Distributed, large-scale, benchmarking framework for rigorous assessment of automatic machine learning repositories, projects, and librar…☆30Updated 3 years ago