Awesome List Updates on Aug 14, 2018

8 awesome lists updated today.

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1. Awesome Swift

Other Data

• Disk (⭐3.1k) - Delightful framework for iOS to easily persist structs, images, and data.

2. Awesome Embedded Rust

Architecture support crates / ARM

• cortex-a Low-level access to Cortex-A processors (early state) -

3. Awesome Keycloak

Community Extensions

• Realm export REST resource by Cloudtrust (⭐52)

4. Amas

Ask these people anything!

• Ali Spittel (⭐10) - Teaching code, Python and JavaScript developer, blogger.

5. Awesome Spark

Packages / Language Bindings

• Flambo (⭐607) - Clojure DSL.

• sparklyr (⭐903) - An alternative R backend, using dplyr.

• sparkle (⭐442) - Haskell on Apache Spark.

Packages / Notebooks and IDEs

• Apache Zeppelin - Web-based notebook that enables interactive data analytics with plugable backends, integrated plotting, and extensive Spark support out-of-the-box.

• Spark Notebook (⭐3.1k) - Scalable and stable Scala and Spark focused notebook bridging the gap between JVM and Data Scientists (incl. extendable, typesafe and reactive charts).

• sparkmagic (⭐1.2k) - Jupyter magics and kernels for working with remote Spark clusters, for interactively working with remote Spark clusters through Livy (⭐995), in Jupyter notebooks.

Packages / General Purpose Libraries

• Succinct - Support for efficient queries on compressed data.

Packages / SQL Data Sources

• Spark XML (⭐441) - XML parser and writer.

• Spark Cassandra Connector (⭐1.9k) - Cassandra support including data source and API and support for arbitrary queries.

• Spark Riak Connector (⭐57) - Riak TS & Riak KV connector.

• Mongo-Spark (⭐674) - Official MongoDB connector.

• OrientDB-Spark (⭐19) - Official OrientDB connector.

Packages / Bioinformatics

• ADAM (⭐949) - Set of tools designed to analyse genomics data.

• Hail (⭐874) - Genetic analysis framework.

Packages / GIS

• Magellan (⭐525) - Geospatial analytics using Spark.

Packages / Time Series Analytics

• Spark-Timeseries (⭐1.2k) - Scala / Java / Python library for interacting with time series data on Apache Spark.

• flint (⭐979) - A time series library for Apache Spark.

Packages / Graph Processing

• Mazerunner (⭐377) - Graph analytics platform on top of Neo4j and GraphX.

• GraphFrames (⭐919) - Data frame based graph API.

• neo4j-spark-connector (⭐293) - Bolt protocol based, Neo4j Connector with RDD, DataFrame and GraphX / GraphFrames support.

• SparklingGraph - Library extending GraphX features with multiple functionalities useful in graph analytics (measures, generators, link prediction etc.).

Packages / Machine Learning Extension

• dbscan-on-spark (⭐178) - An Implementation of the DBSCAN clustering algorithm on top of Apache Spark by irvingc and based on the paper from He, Yaobin, et al. MR-DBSCAN: a scalable MapReduce-based DBSCAN algorithm for heavily skewed data.

• Apache SystemML - Declarative machine learning framework on top of Spark.

• Mahout Spark Bindings [status unknown] - linear algebra DSL and optimizer with R-like syntax.

• spark-sklearn (⭐1.1k) - Scikit-learn integration with distributed model training.

• JPMML-Spark (⭐95) - PMML transformer library for Spark ML.

• Distributed Keras (⭐623) - Distributed deep learning framework with PySpark and Keras.

• ModelDB - A system to manage machine learning models for spark.ml and scikit-learn .

• Sparkling Water (⭐940) - H2O interoperability layer.

• BigDL (⭐4.2k) - Distributed Deep Learning library.

• MLeap (⭐1.4k) - Execution engine and serialization format which supports deployment of o.a.s.ml models without dependency on SparkSession.

Packages / Middleware

• spark-jobserver (⭐2.8k) - Simple Spark as a Service which supports objects sharing using so called named objects. JVM only.

• Mist (⭐322) - Service for exposing Spark analytical jobs and machine learning models as realtime, batch or reactive web services.

• Apache Toree (⭐711) - IPython protocol based middleware for interactive applications.

Packages / Utilities

• silex (⭐18) - Collection of tools varying from ML extensions to additional RDD methods.

• sparkly (⭐54) - Helpers & syntactic sugar for PySpark.

• Flintrock (⭐622) - A command-line tool for launching Spark clusters on EC2.

Packages / Natural Language Processing

• spark-corenlp (⭐425) - DataFrame wrapper for Stanford CoreNLP.

Packages / Streaming

• Apache Bahir - Collection of the streaming connectors excluded from Spark 2.0 (Akka, MQTT, Twitter. ZeroMQ).

Packages / Interfaces

• Apache Beam - Unified data processing engine supporting both batch and streaming applications. Apache Spark is one of the supported execution environments.

• Blaze (⭐3.1k) - Interface for querying larger than memory datasets using Pandas-like syntax. It supports both Spark DataFrames and RDDs.

Packages / Testing

• spark-testing-base (⭐1.4k) - Collection of base test classes.

• spark-fast-tests (⭐383) - A lightweight and fast testing framework.

Packages / Workflow Management

• Cromwell (⭐881) - Workflow management system with Spark backend (⭐881).

6. Awesome Code Review

Tools

• Rubberduck Browser extension to adds code-aware navigation to GitHub pull requests.

7. Awesome Sre

Service Level Agreement

• SLOs & You: A Guide To Service Level Objectives

8. Awesome Aws

Open Source Repos / Accompanying Repos

• aws-training-demo 🔥 (⭐128) - Demos from the Technical Trainers community.

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