110 Open source projects that are alternatives of or similar to ceja

Spark functions to run popular phonetic and string matching algorithms

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Compute distance between sequences. 30+ algorithms, pure python implementation, common interface, optional external libs usage.

Edit distance algorithms inc. Jaro, Damerau-Levenshtein, and Optimal Alignment

Golang metrics for calculating string similarity and other string utility functions

A fuzzy matching string distance library for Scala and Java that includes Levenshtein distance, Jaro distance, Jaro-Winkler distance, Dice coefficient, N-Gram similarity, Cosine similarity, Jaccard similarity, Longest common subsequence, Hamming distance, and more..

🎐 a python library for doing approximate and phonetic matching of strings.

Implementation of various string similarity and distance algorithms: Levenshtein, Jaro-winkler, n-Gram, Q-Gram, Jaccard index, Longest Common Subsequence edit distance, cosine similarity ...

LearningApacheSpark

Routines and data structures for using isarn-sketches idiomatically in Apache Spark

BERT, AWS RDS, AWS Forecast, EMR Spark Cluster, Hive, Serverless, Google Assistant + Raspberry Pi, Infrared, Google Cloud Platform Natural Language, Anomaly detection, Tensorflow, Mathematics

Linkis helps easily connect to various back-end computation/storage engines(Spark, Python, TiDB...), exposes various interfaces(REST, JDBC, Java ...), with multi-tenancy, high performance, and resource control.

Soda Spark is a PySpark library that helps you with testing your data in Spark Dataframes

Process Common Crawl data with Python and Spark

Just a boilerplate for PySpark and Flask

Spark extension for processing large-scale 3D data sets: Astrophysics, High Energy Physics, Meteorology, …

pyspark🍒🥭 is delicious，just eat it!😋😋

Java library for approximate nearest neighbors search using Hierarchical Navigable Small World graphs

Relation Extraction using Deep learning(CNN)

Apache Spark & Python (pySpark) tutorials for Big Data Analysis and Machine Learning as IPython / Jupyter notebooks

Fast Double Metaphone algorithm

Código para workshops Spark com ambiente de desenvolvimento em docker

PySpark Code for Hands-on Learners

Spark 2.0 Python Machine Learning examples

MorphL Community Edition uses big data and machine learning to predict user behaviors in digital products and services with the end goal of increasing KPIs (click-through rates, conversion rates, etc.) through personalization

🌐 Interactive Workshop on GeoAnalysis using PySpark

Apache Spark Connector for Azure Cosmos DB

Real-world Spark pipelines examples

HandySpark - bringing pandas-like capabilities to Spark dataframes

Anovos - An Open Source Library for Scalable feature engineering Using Apache-Spark

Fundamentals of Spark with Python (using PySpark), code examples

jgit-spark-connector is a library for running scalable data retrieval pipelines that process any number of Git repositories for source code analysis.

Updated repository

Powerful rapid automatic EDA and feature engineering library with a very easy to use API 🌟

A tool for building feature stores.

pyspark-cassandra is a Python port of the awesome @datastax Spark Cassandra connector. Compatible w/ Spark 2.0, 2.1, 2.2, 2.3 and 2.4

🐍 Quick reference guide to common patterns & functions in PySpark.

Open Source Contributor Index

Apache (Py)Spark type annotations (stub files).

🚚 Agile Data Preparation Workflows made easy with Pandas, Dask, cuDF, Dask-cuDF, Vaex and PySpark

Pyspark in Google Colab: A simple machine learning (Linear Regression) model

A curated list of awesome Apache Spark packages and resources.

[NOT MAINTAINED] Predicting Bit coin price using Time series analysis and sentiment analysis of tweets on bitcoin

A connector for Apache Spark and PySpark to Dgraph databases.

Word2Vec models with Twitter data using Spark. Blog:

PySpark Algorithms Book: https://www.amazon.com/dp/B07X4B2218/ref=sr_1_2

Big Data Processing Framework - Unified Data API or SQL on Any Storage

Jupyter magics and kernels for working with remote Spark clusters

Petastorm library enables single machine or distributed training and evaluation of deep learning models from datasets in Apache Parquet format. It supports ML frameworks such as Tensorflow, Pytorch, and PySpark and can be used from pure Python code.

pyspark methods to enhance developer productivity 📣 👯 🎉

🚚 Agile Data Preparation Workflows made easy with dask, cudf, dask_cudf and pyspark

This is a place to put s2i images and utilities for spark application builders for openshift

Spark Application for analysis of Apache Access logs and detect anamolies! Along with Medium Article.

Simple and Distributed Machine Learning

Training models with Apache Spark, PySpark for Titanic Kaggle competition

Demo of PySpark and Jupyter Notebook with the Jupyter Docker Stacks

Counting Tweets Per User in Real-Time

Apache Spark (PySpark) Practice on Real Data

A simple Spark TDD example

A library on top of either pex or conda-pack to make your Python code easily available on a cluster