Open Source Scala Libraries - Page 2
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Scala Libraries
View 74 business solutionsBrowse free open source Scala Libraries and projects below. Use the toggles on the left to filter open source Scala Libraries by OS, license, language, programming language, and project status.
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Gen AI apps are built with MongoDB AtlasMongoDB Atlas is the developer-friendly database used to build, scale, and run gen AI and LLM-powered apps—without needing a separate vector database. Atlas offers built-in vector search, global availability across 115+ regions, and flexible document modeling. Start building AI apps faster, all in one place.
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Yeastar: Business Phone System and Unified CommunicationsUser-friendly, optimized, and scalable, the Yeastar P-Series Phone System redefines business connectivity by bringing together calling, meetings, omnichannel messaging, and integrations in one simple platform—removing the limitations of distance, platforms, and systems.
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Monocle
Optics library for Scala
Monocle is a pure functional, optics library for Scala providing immutable data access and transformation tools — including Lens, Prism, Iso, Optional, and Traversal. It enables composable, declarative modifications of deeply nested immutable structures in a concise and type-safe fashion. -
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RedRoo implements a framework for defining and executing hierarchical state machines. As a Red Kangaroo jumps from place to place, RedRoo will transition your application from state to state feeding on the events you pass to it. So get jumping!
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Refined
Refinement types for Scala
Refined is a Scala library that enhances types with compile-time constraints using predicate-style refinement types. It allows embedding validation logic into types like Refined[Int, Positive], ensuring invalid values are rejected at compile or runtime, thereby increasing safety and reducing boilerplate in domain modeling. -
Smarter Packing Decisions for Retailers and 3PLsPaccurate is the only patented cartonization solution that optimizes for transportation costs directly. So you can have the right boxes, and control how they're packed.
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Regular Expression Builder for Java (reb4j) is a simple set of classes that encapsulate the regular expressions used by java.util.regex.Pattern and provide facilities for composing larger expressions from sub-expressions.
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Math expression parser and evaluator written in Scala. Usable from Java (Sun JRE 1.6) Provides float, integral, boolean and vector data types, some string processing support. Variables may be defined internally or im- and exported through a binding.
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Library allowing scala classes to easily implement state charts. The library handles asynchronous consumption of events and traversal through state charts.
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Scalaffinity is a library providing a core of functionalities for any social networking web site extracting and leveraging collective intelligence. Scalaffinity is built using Scala, Spring, JPA+Hibernate(Search)+EHCache, JUnit+DBUnit, Maven...
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Save up to 90% off rates for USPS, UPS, DHL Express, and more with the best multi-carrier shipping software for e-commerce businesses.Whether you're established or just getting started, Shippo is the best shipping software for growing e-commerce brands that need to save time and money, fulfill and ship at scale, and delight customers. Create shipping labels for all carriers & save money with discounted rates. See all your online sales channels in one place and automatically access discounted USPS and DHL Express rates, or use your own carrier accounts. Sign up is free and there are no monthly fees or cancellation fees.
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Scalaz
Principled Functional Programming in Scala
Scalaz is a foundational functional-programming library for Scala that provides type classes, data types, and syntax to write pure, composable code. It implements classic abstractions such as Functor, Applicative, Monad, Monoid, Foldable, and Traverse, along with powerful transformers (ReaderT, StateT, WriterT, OptionT, and more) to structure effects. The library offers rich data structures—\/ (disjunction), Validation, NonEmptyList, IList, and Free—that help model errors, invariants, and interpretable programs. Its type class–oriented design lets you write generic algorithms over capabilities rather than concrete types, improving reuse and testability. Scalaz also contributes optics, equality/ordering abstractions, and lawful instances with property-based tests to ensure algebraic laws hold. While the Scala ecosystem now includes sibling projects, Scalaz remains a deep toolbox for principled FP in Scala and a reference point for category-theory-inspired design on the JVM. -
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ScalikeJDBC
A tidy SQL-based DB access library for Scala developers
ScalikeJDBC is a tidy SQL-based DB access library for Scala developers. This library naturally wraps JDBC APIs and provides you easy-to-use and very flexible APIs. What’s more, QueryDSL makes your code type-safe and reusable. ScalikeJDBC is a practical and production-ready one. Use this library for your real projects. Whether you like it or not, JDBC is a stable standard interface. Since most of RDBMS supports JDBC interface, we can access RDBMS in the same way. We believe that ScalikeJDBC basically works with any other RDBMS (Oracle, SQL Server and so on). If you can access some datastore via JDBC interface, that means you can access them via ScalikeJDBC too. Recently, Amazon Redshift and Facebook Presto support JDBC interface. You can access them via ScalikeJDBC! Of course, you can use c3p0 (or others) instead of commons-dbcp though ConnectionPool implementation for that isn’t provided by default. -
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Scaloid
Scaloid makes your Android code easy to understand and maintain
Scaloid is a Scala library designed to make Android app development in Scala more concise, idiomatic, and less verbose compared to using the standard Android APIs. It provides wrappers, syntactic sugar, and implicit conversions so that interacting with Android UI elements, layouts, intents, and other Android primitives feels more natural to Scala developers. For example, it offers DSL-style helpers for defining views and layouts with less boilerplate, implicit conversions to help with event listeners, and utility methods to simplify common tasks. Scaloid aims to capture the expressiveness of Scala—higher-order methods, implicit conversions, extension methods—to let Android development be more functional and succinct. It lowers friction for Scala developers targeting Android, making UI code more compact and composable while still maintaining access to full Android platform capabilities. -
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Shapeless
Generic programming for Scala
Shapeless is a powerful generic programming library for Scala, enabling compile-time abstraction and manipulation of types. It provides features such as HLists (heterogenous lists), generic derivation of type class instances, dependent types, and polymorphic functions—allowing developers to write boilerplate-free, type-safe code. -
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Spray
Scala libraries for building and consuming RESTful web services
Spray is a suite of Scala libraries built on top of Akka that offers a modular, asynchronous, and non-blocking toolkit for building and consuming RESTful and HTTP services. The core philosophy behind Spray is that it should act as a “library” for integration and HTTP layers, not as a full application framework—it gives you the building blocks to handle HTTP and REST but doesn’t impose heavy structure. It includes modules for low-level HTTP I/O, routing, client and server APIs, HTTP model (requests/responses), (un)marshalling, servlet adapters, and testing utilities. Its routing DSL offers expressive combinators for defining HTTP endpoints, and its testkit allows route logic to be tested in isolation (even without spinning up actors). It was popular in earlier Scala/Akka stacks but has since been superseded by Akka HTTP as the maintained successor. -
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Synapse Machine Learning
Simple and distributed Machine Learning
SynapseML (previously MMLSpark) is an open source library to simplify the creation of scalable machine learning pipelines. SynapseML builds on Apache Spark and SparkML to enable new kinds of machine learning, analytics, and model deployment workflows. SynapseML adds many deep learning and data science tools to the Spark ecosystem, including seamless integration of Spark Machine Learning pipelines with the Open Neural Network Exchange (ONNX), LightGBM, The Cognitive Services, Vowpal Wabbit, and OpenCV. These tools enable powerful and highly-scalable predictive and analytical models for a variety of data sources. SynapseML also brings new networking capabilities to the Spark Ecosystem. With the HTTP on Spark project, users can embed any web service into their SparkML models. For production-grade deployment, the Spark Serving project enables high throughput, sub-millisecond latency web services, backed by your Spark cluster. -
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Twitter Util
Wonderful reusable code from Twitter
Twitter Util is a collection of utility libraries used at Twitter, covering concurrency (Futures, Promises), timing, caching, I/O helpers, validation, stats collection, and Scala–Java interoperability. Designed for reliability and efficiency in high-scale systems. -
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Waterloo
Java-based scientific graphics
Java-based scientific graphics with support for Java, Groovy, MATLAB, Python, the R statistical environment, Scala and SciLab. -
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ZIO
A type-safe, composable library for async and concurrent programming
ZIO is a purely functional, type-safe Scala library that provides an Effect (ZIO[R,E,A]) abstraction for asynchronous, concurrent programming. It offers resource safety, fiber-based concurrency, strong error handling, and deterministic testing—all with zero external dependencies. Ideal for building scalable backend systems with compositional architecture. -
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date-parser
Rule Interpreter for natural date descriptions
Date Rule Interpreter for date descriptions like 'next sunday' and 'the day before christmas' -
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osm4scala
Reading OpenStreetMap Pbf files.
Scala and polyglot Spark library (Scala, PySpark, SparkSQL, ... ) focused on reading OpenStreetMap Pbf files. -
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tapir
Declarative, type-safe web endpoints library
Declarative, type-safe web endpoints library. With tapir, you can describe HTTP API endpoints as immutable Scala values. Each endpoint can contain a number of input and output parameters. Compile-time guarantees, develop-time completions, read-time information. Separate the shape of the endpoint (the "what"), from the server logic (the "how"). Generate documentation from endpoint descriptions. Leverage the metadata to report rich metrics and tracing information. Re-use common endpoint definitions, as well as individual inputs/outputs. Library, not a framework, integrates with your stack. Is your company already using tapir? We're continually expanding the "adopters" section in the documentation; the more the merrier! It would be great to feature your company's logo, but in order to do that, we'll need to write permission to avoid any legal misunderstandings.