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Showing 9 open source projects for "can"
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1
Gatling
Modern Load Testing as Code
...With injection profiles (ramp, constant, spikes) and pass/fail gates, you can automate performance thresholds in CI and promote builds with confidence. -
2
The Lift Web Framework
Lift Framework
...Lift's Comet support is unparalled and Lift's ajax support is super-easy and very secure. Because Lift applications are written in Scala, an elegant JVM language, you can still use your favorite Java libraries and deploy to your favorite Servlet Container and app server. Use the code you've already written and deploy to the container you've already configured! As of Lift 3.0, you'll need to be running Java 8 to use Lift. For those using Java 6 or Java 7, you'll need to use Lift 2.6 until you can upgrade your Java installation. -
3
Apache Spark
A unified analytics engine for large-scale data processing
...It builds on resilient distributed datasets (RDDs) and the newer DataFrame/Dataset abstractions to provide fault-tolerant, in-memory computation across clusters. Spark’s execution engine handles scheduling, shuffles, caching, and data locality so users can focus on transformations rather than infrastructure plumbing. With Spark Streaming (microbatches) and Structured Streaming, it delivers low-latency event processing suitable for real-time analytics. The built-in MLlib library provides scalable machine learning algorithms, while GraphX enables graph computations integrated with data pipelines. ... -
4
Play Framework
A high velocity web framework
Play Framework makes it easy to build web applications with Java & Scala. The Play Framework combines productivity and performance making it easy to build scalable web applications with Java and Scala. Play is developer friendly with a "just hit refresh" workflow and built-in testing support. With Play, applications scale predictably due to a stateless and non-blocking architecture. By being RESTful by default, including assets compilers, JSON & WebSocket support, Play is a perfect fit for... -
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5
Finatra
Fast, testable, Scala services built on TwitterServer and Finagle
...Version 2.x is a complete rewrite over v1.x and as such many things are different. Finatra at its core is agnostic to the type of service or application being created. It can be used to build anything based on TwitterUtil: c.t.app.App. For servers, Finatra builds on top of the features of TwitterServer (and Finagle) by allowing you to easily define a Server and controllers (a Service-like abstraction) which define and handle endpoints of the Server. You can also compose Filters either per controller, per route in a controller, or across all controllers. ... -
6
Summingbird
Streaming MapReduce with Scalding and Storm
Summingbird is a streaming + batch hybrid computation framework developed by Twitter. Its aim is to let developers express data aggregation pipelines in a unified way, where the same logic can run either in real time (stream) or in batch mode, and the results can be merged or reconciled. In effect, Summingbird abstracts over multiple execution engines (such as Storm, Scalding, etc.) to provide one high-level program that composes transformations and aggregations, and then executes them in different runtime contexts. It is particularly useful in analytics or metrics systems where you want to update counters or aggregates continuously but also periodically recompute from historical data. ... -
7
Apache PredictionIO
Machine learning server for developers and ML engineers
Apache PredictionIO® is an open source Machine Learning Server built on top of a state-of-the-art open source stack for developers and data scientists to create predictive engines for any machine learning task. Quickly build and deploy an engine as a web service on production with customizable templates; respond to dynamic queries in real-time once deployed as a web service; evaluate and tune multiple engine variants systematically; unify data from multiple platforms in batch or in real-time... -
8
Gizzard
Framework for creating eventually-consistent distributed datastores
Gizzard is a Scala framework originally developed by Twitter for building scalable, fault-tolerant, distributed key-value stores that can be sharded and replicated. It provides infrastructure for routing requests through shard trees, splitting or rebalancing shards dynamically, failover, and migrations. In Gizzard, data is stored in underlying storage shards (which could be databases or other stores) and Gizzard handles the process of routing requests correctly as the cluster topology changes. ... -
9
CATCore
This is distributed plugin framework for Scala
...Simply speaking, it is a framework that will allow a program to "look for" add-in functionality at startup, and then allow that plug-in to cooperate with itself. CATCore (Component Architecture Toolkit, Corelib) is this and more. With CATCore you can load plugins that run in there own thread(Actor) and communicate with each other via messages. But also applications can forward messages to other applications. So plugsins loaded in one app can communicate with plugins running in another app. -
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