883 Open source projects that are alternatives of or similar to Amadeus

An MPI-based C++ or Python library for easy distributed pipeline processing

A purely functional library to build distributed and event-driven systems

Parallel Workflow extension for Rake, runs on multicores, clusters, clouds.

A curated list of awesome parallel computing resources

Source code accompanying book: Data Science on the Google Cloud Platform, Valliappa Lakshmanan, O'Reilly 2017

A list about Apache Kafka

Simple shared surface streaming application

Some class materials for a data processing course using PySpark

Distributed and Parallel Computing Framework with / for Python

🚀 R package: future: Unified Parallel and Distributed Processing in R for Everyone

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

A Clojure dataframe library that runs on Spark

A message-passing distributed computing framework for node.js

Elastic data processing with Apache Pulsar and Apache Flink

Python Adaptive Signal Processing

pyABC: distributed, likelihood-free inference

This repository contains the code base for the Open Stream Processing Benchmark.

Google Cloud Dataflow provides a simple, powerful model for building both batch and streaming parallel data processing pipelines.

A real-time interactive web app based on data pipelines using streaming Twitter data, automated sentiment analysis, and MySQL&PostgreSQL database (Deployed on Heroku)

Fast and easy parallel mapreduce on HPC clusters

A distributed block-based data storage and compute engine

Open-source distributed computation and storage platform

Distributed process pool for Python

When Apache Pulsar meets Apache Spark

🚀 R package: future.apply - Apply Function to Elements in Parallel using Futures

Advanced and Fast Data Transformation in R

Java dataframe and visualization library

Immutable and grow-only Pandas-like DataFrames with a more explicit and consistent interface.

A High-performance Timing Analysis Tool for VLSI Systems

Helical Insight software is world’s first Open Source Business Intelligence framework which helps you to make sense out of your data and make well informed decisions.

Python Client and Toolkit for DataFrames, Big Data, Machine Learning and ETL in Elasticsearch

💎 Feel++: Finite Element Embedded Language and Library in C++

A curated list of resources for learning bioinformatics.

NWChem: Open Source High-Performance Computational Chemistry

Computing with Python functions.

High-performance time-series aggregation for PostgreSQL

An advanced distributed task flow management on top of Celery

The Pothos data-flow framework

Streamlit — The fastest way to build data apps in Python

OctoSQL is a query tool that allows you to join, analyse and transform data from multiple databases and file formats using SQL.

Apache StreamPipes - A self-service (Industrial) IoT toolbox to enable non-technical users to connect, analyze and explore IoT data streams.

A curated list of awesome machine learning frameworks, libraries, courses, books and many more.

The new, performant, and simplified version of Holochain on Rust (sometimes called Holochain RSM for Refactored State Model)

Automatic parallelization of Python/NumPy, C, and C++ codes on Linux and MacOSX

RAJA Performance Portability Layer (C++)

Efficient transducers for Julia

ESC Team's scorecard tools

Machine Learning、Deep Learning、PostgreSQL、Distributed System、Node.Js、Golang

Accelerated deep learning R&D

The foundational library of the Morpheus data science framework

Manipulate JSON-like data with NumPy-like idioms.

Fast and Lightweight Logs and Metrics processor for Linux, BSD, OSX and Windows

📊https://datav.io is a modern APM, provide observability for your business, application and infrastructure. It's also a lightweight alternative to Grafana.

Data Analysis with Bootstrapped ESTimation

Machine Learning notebooks for refreshing concepts.

Pluck text in a fast and intuitive way 🐓

Programming with Python

Bare bone examples of machine learning in TensorFlow

Frontend framework for rapid data (JSON) analysis, sharable serverless reports and dashboards

Analyze Data with Pandas-based Networks. Documentation: