added Figaro and sorted section by alphabetical order

bigsnarfdude · bigsnarfdude · commit 50fc463a68b5 · 2014-07-27T19:25:45.000-07:00
diff --git a/README.md b/README.md
@@ -104,14 +104,16 @@ A community driven list of useful Scala libraries, frameworks and software. This
 
 *Libraries for scientific computing, data analysis and numerical processing.*
 
-* [Breeze](https://github.com/scalanlp/breeze) — Breeze is a numerical processing library for Scala.
-* [MLLib](https://spark.apache.org/mllib/) — Machine Learning framework for Spark
-* [Spire](https://github.com/non/spire) — Powerful new number types and numeric abstractions for Scala.
 * [Algebird](https://github.com/twitter/algebird) — Abstract Algebra for Scala.
+* [Breeze](https://github.com/scalanlp/breeze) — Breeze is a numerical processing library for Scala.
 * [FACTORIE](https://github.com/factorie/factorie) — A toolkit for deployable probabilistic modeling, implemented as a software library in Scala.
+* [Figaro](https://github.com/p2t2/figaro) - Figaro is a probabilistic programming language that supports development of very rich probabilistic models.
+* [MGO](https://github.com/romainreuillon/mgo) — Modular multi-objective evolutionary algorithm optimization library enforcing immutability.
+* [MLLib](https://spark.apache.org/mllib/) — Machine Learning framework for Spark
 * [Saddle](https://github.com/saddle/saddle) — A minimalist port of Pandas to Scala
+* [Spire](https://github.com/non/spire) — Powerful new number types and numeric abstractions for Scala.
 * [Squants](https://github.com/garyKeorkunian/squants) — The Scala API for Quantities, Units of Measure and Dimensional Analysis.
-* [MGO](https://github.com/romainreuillon/mgo) — Modular multi-objective evolutionary algorithm optimization library enforcing immutability.
+
 
 ## Big Data
 * [Spark](http://spark.apache.org/) — Lightning fast cluster computing — up to 100x faster than Hadoop for iterative algorithms (memory caching) and up to 10x faster than Hadoop for single-pass MapReduce jobs. Compatible with YARN-enabled Hadoop clusters, can run on Mesos and in stand-alone mode as well.
