1091 Open source projects that are alternatives of or similar to Krangl

👨🏽‍🏫You can learn about what data science is and why it's important in today's modern world. Are you interested in data science?🔋

CleverCSV is a Python package for handling messy CSV files. It provides a drop-in replacement for the builtin CSV module with improved dialect detection, and comes with a handy command line application for working with CSV files.

Can we predict accurately on the skewed data? What are the sampling techniques that can be used. Which models/techniques can be used in this scenario? Find the answers in this code pattern!

Curated list of Python resources for data science.

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Modin: Speed up your Pandas workflows by changing a single line of code

source{d} Community Edition (CE)

Genie: A Fast and Robust Hierarchical Clustering Algorithm (this R package has now been superseded by genieclust)

KeyPathKit is a library that provides the standard functions to manipulate data along with a call-syntax that relies on typed keypaths to make the call sites as short and clean as possible.

Mypy plugin and stubs for SQLAlchemy

Hyrise is a research in-memory database.

Security library for Play framework 2 in Java and Scala: OAuth, CAS, SAML, OpenID Connect, LDAP, JWT...

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A simplified, lightweight ETL Framework based on Apache Spark

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Easy-to-use data handling for SQL data stores with support for implicit table creation, bulk loading, and transactions.

CogComp's Natural Language Processing libraries and Demos:

Apache Ignite

Dataflow analysis & differential privacy for SQL queries. This project is deprecated and not maintained.

Resources for learning about Text Mining and Natural Language Processing

A toolkit for SQLite databases, with a focus on application development

High-performance log search engine.

Type safe SQL builder with code generation and automatic query result data mapping

Free GUI Tool for Index Maintenance on SQL Server and Azure

Ahead of Time Data Repositories

Go (Golang) Clean Architecture based on Reading Uncle Bob's Clean Architecture

RMDL: Random Multimodel Deep Learning for Classification

Attach hooks to any database/sql driver

Apache Hive

H2O.ai Machine Learning Interpretability Resources

Kyuubi is a unified multi-tenant JDBC interface for large-scale data processing and analytics, built on top of Apache Spark

Code and Data for the book "Practical SQL" by Anthony DeBarros, published by No Starch Press (2018).

A curated list of adversarial attacks and defenses papers on graph-structured data.

A curated awesome list of AI Startups in India & Machine Learning Interview Guide. Feel free to contribute!

🐷 An expressive query DSL for Active Record 4 and 5

🍟 a notebook sql client. what you get when have a lot of sequels.

LBADD: An experimental, distributed SQL database

Tanel Poder's Troubleshooting & Performance Tools for Oracle Databases

A Python Library for Health Predictive Models

A unified framework for machine learning with time series

Jakarta EE 8 (Java EE) & MicroProfile 3.2 application generator and modeler

🛢 A database schema migration builder for Rust

Set of 📝 with 🔗 to help those who are Data Science beginners 🤖

A Clojure(script) SQL library for building APIs: Datomic® (GraphQL-ish) pull syntax, data driven configuration, dynamic filtering with relations in mind

🚀 纯 Java 注解，快速开发 Admin 管理后台。不生成任何代码、零前端代码、零 CURD、自动建表、注解式API，支持所有主流数据库，支持自定义页面，支持多数据源，提供二十几类业务组件，十几种展示形式，支持逻辑删除，动态定时任务，前端后端分离等。核心技术：Spring Boot、JPA、Reflect、TypeScript、NG-ZORRO等。 开源不易，记得右上角点个star鼓励作者~

This branch will be HashOver 2.0

Go fearless SQL. Sqlvet performs static analysis on raw SQL queries in your Go code base.

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Immutable transaction isolated sql driver for golang

pg_timetable: Advanced scheduling for PostgreSQL

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PL/JSON is a generic JSON object written in PL/SQL. Using PL/SQL object syntax, users instantiate a JSON object and then add members, arrays and additional JSON objects. This object type can store JSON data, in Oracle, persistently.

Database migration tool written in BASH.

Python implementations of some of the fundamental Machine Learning models and algorithms from scratch.

Useful scripts, udfs, views, and other utilities for migration and data warehouse operations in BigQuery.