Search Results for "data processing"
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Showing 8 open source projects for "data processing"
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1
Broadway
Concurrent and multi-stage data ingestion and data processing
Broadway is a data processing library for Elixir designed to handle high-throughput, concurrent workloads with ease. It provides an abstraction for defining pipelines that consume data from sources like RabbitMQ, Kafka, Amazon SQS, or custom producers. Each pipeline is fault-tolerant and backpressure-aware, ensuring stable throughput even under load. -
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Tesla
The flexible HTTP client library for Elixir
The flexible HTTP client library for Elixir, with support for middleware and multiple adapters. Tesla is an HTTP client loosely based on Faraday. It embraces the concept of middleware when processing the request/response cycle. Define module with use Tesla and choose from a variety of middleware. Tesla is built around the concept of composable middlewares. This is very similar to how Plug Router works. All HTTP functions, such as Tesla.get/3 and Tesla.post/4, can take a dynamic client as the... -
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Elixir
Dynamic, functional language designed for building scalable apps
...Elixir leverages the Erlang VM, known for running low-latency, distributed, and fault-tolerant systems. Elixir is successfully used in web development, embedded software, data ingestion, and multimedia processing, across a wide range of industries. All Elixir code runs inside lightweight threads of execution (called processes) that are isolated and exchange information via messages. Due to their lightweight nature, it is not uncommon to have hundreds of thousands of processes running concurrently in the same machine. ... -
4
GenStage
Producer and consumer actors with back-pressure for Elixir
...Its clear separation of concerns encourages testable, composable stages that can be rearranged as requirements evolve. In production, this leads to predictable, resilient dataflows for event ingestion, batching, and parallel processing. -
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5
Oban
Robust job processing in Elixir, backed by modern PostgreSQL
...It provides a simple and consistent API for scheduling and performing jobs, and it is built to be fault-tolerant and easy to monitor. Oban is fundamentally different from other background job processing tools because it retains job data for historic metrics and inspection. You can leave your application running indefinitely without worrying about jobs being lost or orphaned due to crashes. -
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Absinthe
The GraphQL toolkit for Elixir
...If you're new to GraphQL, we suggest you read up a bit on GraphQL's foundational principles before you dive into Absinthe. Absinthe's functionality generally falls into two broad areas. Defines the structure of data entities and the relationships between, as well as the available queries, mutations, and subscriptions, using an elegant collection of declarative macros. Absinthe schemas are defined using easy-to-read macros that build and verify their structure at compile-time, preventing runtime errors and increasing performance. The entire query processing pipeline is configurable. ... -
7
Poison
An incredibly fast, pure Elixir JSON library
...On the decoding side, it supports options for key handling and flexible parsing of JSON into Elixir maps, lists, and primitive values. Internally it uses optimized binary processing to keep allocations low and throughput high, which is why it became a popular choice in early Elixir ecosystems. The API is intentionally small and unsurprising, making it easy to drop into controllers, background jobs, or data pipelines. Many codebases still rely on Poison for its speed and simplicity, even as alternative JSON libraries exist in the community. -
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crawly
High-level web crawling and scraping framework for Elixir apps
Crawly is a high-level application framework for crawling websites and extracting structured data using the Elixir programming language. It provides a complete environment for building web crawlers that systematically visit pages, collect information, and transform that data into structured formats for further processing. Crawly is designed for tasks such as data mining, information processing, and building historical archives of web content. ...
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