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Dapr (Distributed Application Runtime) is a free and open source runtime system designed to support cloud native and serverless computing. [2] Its initial release supported SDKs and APIs for Java, .NET, Python, and Go, and targeted the Kubernetes cloud deployment system.
Airavata: a distributed system software framework to manage simple to composite applications with complex execution and workflow patterns on diverse computational resources; Airflow: Python-based platform to programmatically author, schedule and monitor workflows; Allura: Python-based open source implementation of a software forge
FastAPI is a high-performance web framework for building HTTP-based service APIs in Python 3.8+. [3] It uses Pydantic and type hints to validate, serialize and deserialize data. FastAPI also automatically generates OpenAPI documentation for APIs built with it. [4] It was first released in 2018.
PHP >= 8.0 [89] Any Yes Push Yes Eloquent: PHPUnit: Yes Yes Yes APC, Database, File, Memcache, Redis: Yes Yes Yes Yes Li3 (Lithium) PHP >= 5.3.6 Any Yes Push Yes Yes Unit tests, builtin test framework or other independent No Yes, Plugins available PHP, Twig Plugin available Memcache, Redis, XCache, APC, File Yes, with CSRF Protection and Form ...
Dask is an open-source Python library for parallel computing.Dask [1] scales Python code from multi-core local machines to large distributed clusters in the cloud. Dask provides a familiar user interface by mirroring the APIs of other libraries in the PyData ecosystem including: Pandas, scikit-learn and NumPy.
TurboGears is a Python web application framework consisting of several WSGI components such as WebOb, SQLAlchemy, Kajiki template language and Repoze.. TurboGears is designed around the model–view–controller (MVC) architecture, much like Struts or Ruby on Rails, designed to make rapid web application development in Python easier and more maintainable.
Akka is a source-available toolkit and runtime simplifying the construction of concurrent and distributed applications on the JVM.Akka supports multiple programming models for concurrency, but it emphasizes actor-based concurrency, with inspiration drawn from Erlang.
Anaconda is a distribution of the Python and R programming languages for scientific computing (data science, machine learning applications, large-scale data processing, predictive analytics, etc.), that aims to simplify package management and deployment. Anaconda distribution includes data-science packages suitable for Windows, Linux, and macOS ...