Alternatives to Silq

Compare Silq alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to Silq in 2024. Compare features, ratings, user reviews, pricing, and more from Silq competitors and alternatives in order to make an informed decision for your business.

  • 1
    TensorFlow

    TensorFlow

    TensorFlow

    An end-to-end open source machine learning platform. TensorFlow is an end-to-end open source platform for machine learning. It has a comprehensive, flexible ecosystem of tools, libraries and community resources that lets researchers push the state-of-the-art in ML and developers easily build and deploy ML powered applications. Build and train ML models easily using intuitive high-level APIs like Keras with eager execution, which makes for immediate model iteration and easy debugging. Easily train and deploy models in the cloud, on-prem, in the browser, or on-device no matter what language you use. A simple and flexible architecture to take new ideas from concept to code, to state-of-the-art models, and to publication faster. Build, deploy, and experiment easily with TensorFlow.
  • 2
    LIQUi|>

    LIQUi|>

    Microsoft

    LIQUi|> is a software architecture and tool suite for quantum computing. It includes a programming language, optimization and scheduling algorithms, and quantum simulators. LIQUi|> can be used to translate a quantum algorithm written in the form of a high-level program into the low-level machine instructions for a quantum device. LIQUi|> is being developed by the quantum architectures and computation Group (QuArC) at Microsoft Research. To aid in the development and understanding of quantum protocols, quantum algorithms, quantum error correction, and quantum devices, QuArC has developed an extensive software platform called LIQUi|>. LIQUi|> allows the simulation of Hamiltonians, quantum circuits, quantum stabilizer circuits, and quantum noise models, and supports client, service, and cloud operation.
  • 3
    Cellframe

    Cellframe

    Cellframe

    Cellframe Network is a scalable open-source next generation platform for building and bridging blockchains and services secured by post-quantum encryption. We offer a stage for enterprises and developers for building a vast array of products ranging from simple low-level t-dApps to whole other blockchains on top of Cellframe Network. We believe that the next paradigm for blockchain technology is mass adoption and our platform strives to expand the use cases associated with blockchain technology. Cellframe can provide extremely high transaction throughput based on the original sharding implementation. In addition, Post-quantum cryptography makes the system resistant to hacking by quantum computers, which are not far off. Based on the original sharding implementation, Cellframe can provide extremely high transaction throughput.
  • 4
    QANplatform

    QANplatform

    QANplatform

    Developers and enterprises can build Quantum-resistant smart-contracts, DApps, DeFi solutions, NFTs, tokens, Metaverse on top of the QAN blockchain platform in any programming language. QANplatform is the first Hyperpolyglot Smart Contract platform where developers can code in any programming language and also get rewarded for writing high-quality code reusable by others. The Quantum threat is very real. Existing chains can not defend against it. QAN is resistant against it from ground up, your future funds are safe. Quantum-resistant algorithms — also known as post-quantum, quantum-secure, or quantum-safe — are cryptographic algorithms that can fend off attacks from quantum computers. Quantum-resistant algorithms — also known as post-quantum, quantum-secure, or quantum-safe — are cryptographic algorithms that can fend off attacks from quantum computers.
  • 5
    D

    D

    D Language Foundation

    D is a general-purpose programming language with static typing, systems-level access, and C-like syntax. With the D Programming Language, write fast, read fast, and run fast. D is made possible through the hard work and dedication of many volunteers, with the coordination and outreach of the D Language Foundation, a 501(c)(3) non-profit organization. You can help further the development of the D language and help grow our community by supporting the Foundation. Discuss D on the forums, join the IRC channel, read our official Blog, or follow us on Twitter. Browse the wiki, where among other things you can find the high-level vision of the D Language Foundation. Refer to the language specification and the documentation of Phobos, D's standard library. The DMD manual tells you how to use the compiler. Read various articles to deepen your understanding.
    Starting Price: Free
  • 6
    Quantum Programming Studio

    Quantum Programming Studio

    Quantum Programming Studio

    Circuit can be exported to multiple quantum programming languages/frameworks and can be executed on various simulators and quantum computers. You can use simple drag & drop user interface to assemble circuit diagram which automatically translates to code, and vice versa - you can type the code and the diagram is updated accordingly. QPS Client is running on your local machine (or in the cloud) where your quantum programming environment is installed. It opens a secure websocket connection with Quantum Programming Studio server and executes quantum circuits (that you design in the web UI) on your local simulator or on a real quantum computer.
  • 7
    Scala

    Scala

    Scala

    Scala combines object-oriented and functional programming in one concise, high-level language. Scala's static types help avoid bugs in complex applications, and its JVM and JavaScript runtimes let you build high-performance systems with easy access to huge ecosystems of libraries. The Scala compiler is smart about static types. Most of the time, you need not tell it the types of your variables. Instead, its powerful type inference will figure them out for you. In Scala, case classes are used to represent structural data types. They implicitly equip the class with meaningful toString, equals and hashCode methods, as well as the ability to be deconstructed with pattern matching. In Scala, functions are values, and can be defined as anonymous functions with a concise syntax.
    Starting Price: Free
  • 8
    Scheme

    Scheme

    Scheme

    Scheme is a general-purpose computer programming language. It is a high-level language, supporting operations on structured data such as strings, lists, and vectors, as well as operations on more traditional data such as numbers and characters. While Scheme is often identified with symbolic applications, its rich set of data types and flexible control structures make it a truly versatile language. Scheme has been employed to write text editors, optimize compilers, operating systems, graphics packages, expert systems, numerical applications, financial analysis packages, virtual reality systems, and practically every other type of application imaginable. Scheme is a fairly simple language to learn since it is based on a handful of syntactic forms and semantic concepts and since the interactive nature of most implementations encourages experimentation. Scheme is a challenging language to understand fully.
    Starting Price: Free
  • 9
    Forth

    Forth

    Forth

    Forth, the computer language was created for programming embedded and real-time applications. Today, it is available for developing applications on Windows, DOS, and variants of Unix that include macOS. Additionally, commercial-grade Forth cross-compilers generate highly optimized code that runs on a variety of microprocessors and microcontrollers and proves themselves very capable in custom-hardware environments. Forth is a high-level programming language, although most versions include an assembler. Fourth-system providers often include software tools to help application code make good use of system resources. Forth is interactive. It is conducive to developing modular, well-tested code in shorter development times. It can also result in very concise code. Some programmers are not accustomed to languages with such brevity, directness, and (apparent) simplicity. Forth has a reputation for rapid development, lean code, and superb performance.
    Starting Price: $399 one-time payment
  • 10
    BASIC

    BASIC

    BASIC

    BASIC (Beginners' All-purpose Symbolic Instruction Code) is a family of general-purpose, high-level programming languages designed for ease of use. Initially, BASIC concentrated on supporting straightforward mathematical work, with matrix arithmetic support from its initial implementation as a batch language, and character string functionality being added by 1965. The emergence of BASIC took place as part of a wider movement towards time-sharing systems. Some dialects of BASIC supported matrices and matrix operations, which can be used to solve sets of simultaneous linear algebraic equations. These dialects would directly support matrix operations such as assignment, addition, multiplication (of compatible matrix types), and evaluation of a determinant. BASIC declined in popularity in the 1990s, as more powerful microcomputers came to market and programming languages with advanced features (such as Pascal and C) became tenable on such computers.
  • 11
    Azure Quantum

    Azure Quantum

    Microsoft

    Use state-of-the-art cloud tools and learning resources to help you build and refine quantum algorithms. Gain access to a diverse portfolio of today’s quantum hardware. Access a diverse portfolio of today’s quantum hardware to build toward the emergence of fault-tolerant quantum systems. Navigate complexity and develop new skills with world-class onboarding and education resources including Microsoft Learn, Quantum katas tutorials, industry case studies, and a university curriculum. Use the Azure Quantum resource estimator tool to estimate the number of logical and physical qubits and runtime required to execute quantum applications on future-scaled quantum computers. Determine the number of qubits needed for a quantum solution and evaluate the differences across qubit technologies. Prepare and refine quantum solutions to run on future-scaled quantum machines.
  • 12
    Superstaq

    Superstaq

    Infleqtion

    Superstaq’s low-level, device-specific optimizations enable users to draw the best performance out of today's hardware across multiple qubit modalities. Qiskit and Cirq open source frontends allow users to submit to leading quantum hardware platforms from IBM, Infleqtion, OQC, Rigetti, and more. Leverage our pre-built library of quantum applications to benchmark the performance on otherwise "impossible" problems with quantum hardware. Superstaq's library of sophisticated compilation and noise mitigation techniques, such as dynamical decoupling, automatically optimizes quantum programs based on the target hardware's native gate set. Whether it's Cirq or Qiskit, Superstaq enables you to write quantum programs that target virtually any quantum computer.
  • 13
    InQuanto

    InQuanto

    Quantinuum

    Quantum computing offers a path forward to rapid and cost-effective development of new molecules and materials. InQuanto, a state-of-the-art quantum computational chemistry platform, represents a critical step toward this goal. Quantum chemistry aims to accurately describe and predict the fundamental properties of matter and hence is a powerful tool in the design and development of new molecules and materials. However, molecules and materials of industrial relevance are complex and not easy to accurately simulate. Today’s capabilities force a trade to either use highly accurate methods on the smallest-sized systems or use approximating techniques. InQuanto’s modular workflow enables both computational chemists and quantum algorithm developers to easily mix and match the latest quantum algorithms with advanced subroutines and error mitigation techniques to get the best out of today’s quantum platforms.
  • 14
    Quantum Origin

    Quantum Origin

    Quantinuum

    Experience the world’s only quantum-computing-hardened encryption keys, ensuring provably superior protection and allowing you to seamlessly strengthen your existing cybersecurity systems for enhanced security today, and into the future. Every organization owns sensitive data that must be kept secret at all costs. Quantum Origin adds unmatched cryptographic strength to existing cybersecurity systems, giving your enterprise a long-term edge against cyber criminals. Maintaining the trust of customers, shareholders, and regulators means adapting and strengthening your cybersecurity foundations. Adopting Quantum Origin showcases your commitment to staying ahead of potential threats. Quantum Origin verifiably strengthens the cryptographic protection around your technology and services, proving you take the privacy and security of your customer's data as seriously as they do. Let your customers know their data is safe with the ultimate in cryptographic protection.
  • 15
    Qiskit

    Qiskit

    Qiskit

    Qiskit includes a comprehensive set of quantum gates and a variety of pre-built circuits so users at all levels can use Qiskit for research and application development. The transpiler translates Qiskit code into an optimized circuit using a backend’s native gate set, allowing users to program for any quantum processor. Users can transpile with Qiskit's default optimization, use a custom configuration or develop their own plugin. Qiskit helps users schedule and run quantum programs on a variety of local simulators and cloud-based quantum processors. It supports several quantum hardware designs, such as superconducting qubits and trapped ions. Ready to explore Qiskit’s capabilities for yourself? Learn how to run Qiskit in the cloud or your local Python environment.
  • 16
    Intel Quantum Simulator

    Intel Quantum Simulator

    Intel Quantum Simulator

    It is based on a complete representation of the qubit state but avoids the explicit representation of gates and other quantum operations in terms of matrices. Intel-QS uses the MPI (message-passing-interface) protocol to handle communication between the distributed resources used to store and manipulate quantum states. Intel-QS builds as a shared library which, once linked to the application program, allows to take advantage of the high-performance implementation of circuit simulations. The library can be built on a variety of different systems, from laptops to HPC server systems.
  • 17
    Quandela

    Quandela

    Quandela

    Quandela Cloud offers a wide range of functionalities. First, intensive documentation is available to walk you through Perceval, our photonic quantum computing framework. Perceval's programming language is Python, thus coding on Quandela’s QPUs is seamless. Moreover, you can leverage a wide range of unique algorithms already implemented (resolving PDEs, clustering data, generating certified random numbers, solving logistical problems, computing properties of molecules, and much more). Then, the status and specifications of Quandela’s QPUs are displayed. You can choose the appropriate one, run your job and check its evolution on the job monitoring interface.
  • 18
    Odin

    Odin

    Odin Language

    Odin is a general-purpose programming language with distinct typing built for high performance, modern systems and data-oriented programming. Odin is the C alternative for the Joy of Programming. Odin has been designed for readability, scalability, and orthogonality of concepts. Simplicity is complicated to get right, clear is better than clever. Odin allows for the highest performance through low-level control over the memory layout, memory management and custom allocators and so much more. Odin is designed from the bottom up for the modern computer, with built-in support for SOA data types, array programming, and other features. We go into programming because we love to solve problems. Why shouldn't our tools bring us joy whilst doing it? Enjoy programming again, with Odin!
    Starting Price: Free
  • 19
    Vala

    Vala

    The GNOME Project

    Vala is a programming language using modern high level abstractions without imposing additional runtime requirements and without using a different ABI compared to applications and libraries written in C. Vala uses the GObject type system and has additional code generation routines that make targeting the GNOME stack simple. Vala has many other uses where native binaries are required. More. There is GNOME Discourse for developer and general discussions. You can also join the Vala Matrix channel for asking questions and talking with the developers. Vala is a cross platform development tool with third party distributions providing binaries for Windows, macOS, Linux, BSDs and other platforms.
    Starting Price: Free
  • 20
    TLA+

    TLA+

    TLA+

    TLA+ is a high-level language for modeling programs and systems--especially concurrent and distributed ones. It's based on the idea that the best way to describe things precisely is with simple mathematics. TLA+ and its tools are useful for eliminating fundamental design errors, which are hard to find and expensive to correct in code.
    Starting Price: Free
  • 21
    QX Simulator

    QX Simulator

    Quantum Computing Simulation

    The realization of large-scale physical quantum computers appears to be challenging, alongside the efforts to design quantum computers, significant efforts are focusing on the development of useful quantum algorithms. In the absence of a large physical quantum computer, an accurate software simulation of quantum computers on a classical computer is required to simulate the execution of those quantum algorithms and to study the behavior of a quantum computer and improve its design. Besides simulating error-free execution quantum circuits on a perfect quantum computer, the QX simulator can simulate realistic noisy execution using different error models such as the depolarizing noise. The user can activate the error model and define a physical error probability to simulate a specific target quantum computer. This error rate can be defined based on the gate fidelity and the qubit decoherence of the target platform.
  • 22
    SystemC

    SystemC

    SystemC

    Your online reference for everything related to SystemC, the language for system-level design, high-level synthesis, modeling and verification. SystemC™ addresses the need for a system design and verification language that spans hardware and software. It is a language built in standard C++ by extending the language with the use of class libraries. The language is particularly suited to model system's partitioning, to evaluate and verify the assignment of blocks to either hardware or software implementations, and to architect and measure the interactions between and among functional blocks. Leading companies in the intellectual property (IP), electronic design automation (EDA), semiconductor, electronic systems, and embedded software industries currently use SystemC for architectural exploration, to deliver high-performance hardware blocks at various levels of abstraction and to develop virtual platforms for hardware/software co-design.
    Starting Price: Free
  • 23
    Oxford Quantum Circuits (OQC)

    Oxford Quantum Circuits (OQC)

    Oxford Quantum Circuits

    OQC’s quantum computer is a complete functional unit, including the control system, the hardware and the software. It is the only quantum computer commercially available in the UK. OQC’s Quantum Computing-as-a-Service (QCaaS) platform takes our proprietary quantum technology to the wider market through a private cloud. Register your interest to access our QCaaS. Thanks to a close cooperation with world-leading technical and strategic partners, we ensure that our technology is at the heart of the quantum revolution.
  • 24
    IBM Quantum
    Use our suite of applications to support your quantum research and development needs. Copy your API token, track jobs, and view quantum compute resources. Explore service and API documentation to start working with IBM Quantum resources.
  • 25
    D-Wave

    D-Wave

    D-Wave

    Our singular focus is to help customers achieve real value by using quantum computing for practical business applications. You may be surprised to learn that our enterprise customers have already built hundreds of quantum applications across many industries. The powerful combination of the Advantage™ quantum system and the Leap™ hybrid solver services enable the first in-production quantum applications demonstrating business benefit. D-Wave is the practical quantum computing company delivering real business value for manufacturing, supply chain and logistics, scheduling, and mobility applications today. Quantum computing is already helping to optimize many key parts of the value chain in Industry 4.0.
  • 26
    Prolog

    Prolog

    Prolog

    Prolog is a logic programming language associated with artificial intelligence and computational linguistics. Prolog has its roots in first-order logic, a formal logic, and unlike many other programming languages, Prolog is intended primarily as a declarative programming language, the program logic is expressed in terms of relations, represented as facts and rules. A computation is initiated by running a query over these relations. Prolog was one of the first logic programming languages and remains the most popular such language today, with several free and commercial implementations available. The language has been used for theorem proving, expert systems, term rewriting, type systems, and automated planning, as well as its original intended field of use, natural language processing. Modern Prolog environments support the creation of graphical user interfaces, as well as administrative and networked applications.
  • 27
    Rigetti Quantum Cloud Services (QCS)
    We make it possible for everyone to think bigger, create faster, and see further. By infusing AI and machine learning, our quantum solutions give you the power to solve the world’s most important and pressing problems. Thermodynamics sparked the Industrial revolution. Electromagnetism ushered in the information age, now, quantum computers are harnessing the unique information processing capability of quantum mechanics to exponentially reduce the time and energy needed for high-impact computing. With the first paradigm-shifting advance since the integrated circuit, quantum computing is poised to transform every global market. The gap between first movers and fast followers will be difficult to overcome.
  • 28
    Quantum Inspire
    Run your own quantum algorithms on one of our simulators or hardware backends and experience the possibilities of quantum computing. Note that Spin-2 is currently being upgraded and is no longer available. We have multiple simulators and real hardware chips available. Find out what they can do for you. Quantum Inspire is built using first-rate engineering practices. Starting from experimental setups, a layered and modular system was designed to end up with a solid and robust hardware system. This quantum computer consists of a number of layers including quantum chip hardware, classical control electronics, a quantum compiler, and a software front-end with a cloud-accessible web interface. They can act as technology accelerators because only through careful analysis of the individual system layers and their interdependencies it become possible to detect the gaps and necessary next steps in the innovation roadmap and supply chain.
  • 29
    Bayesforge

    Bayesforge

    Quantum Programming Studio

    Bayesforge™ is a Linux machine image that curates the very best open source software for the data scientist who needs advanced analytical tools, as well as for quantum computing and computational mathematics practitioners who seek to work with one of the major QC frameworks. The image combines common machine learning frameworks, such as PyTorch and TensorFlow, with open source software from D-Wave, Rigetti as well as the IBM Quantum Experience and Google's new quantum computing language Cirq, as well as other advanced QC frameworks. For instance our quantum fog modeling framework, and our quantum compiler Qubiter which can cross-compile to all major architectures. All software is made accessible through the Jupyter WebUI which, due to its modular architecture, allows the user to code in Python, R, and Octave.
  • 30
    Erlang

    Erlang

    Erlang

    Erlang is a programming language used to build massively scalable soft real-time systems with requirements on high availability. Some of its uses are in telecoms, banking, e-commerce, computer telephony and instant messaging. Erlang's runtime system has built-in support for concurrency, distribution and fault tolerance. OTP is set of Erlang libraries and design principles providing middle-ware to develop these systems. It includes its own distributed database, applications to interface towards other languages, debugging and release handling tools.
    Starting Price: Free
  • 31
    Apache Groovy

    Apache Groovy

    The Apache Software Foundation

    Apache Groovy is a powerful, optionally typed and dynamic language, with static-typing and static compilation capabilities, for the Java platform aimed at improving developer productivity thanks to a concise, familiar and easy to learn syntax. It integrates smoothly with any Java program, and immediately delivers to your application powerful features, including scripting capabilities, Domain-Specific Language authoring, runtime and compile-time meta-programming and functional programming. Concise, readable and expressive syntax, easy to learn for Java developers. Closures, builders, runtime & compile-time meta-programming, functional programming, type inference, and static compilation. Flexible & malleable syntax, advanced integration & customization mechanisms, to integrate readable business rules in your applications. Great for writing concise and maintainable tests, and for all your build and automation tasks.
    Starting Price: Free
  • 32
    Cython

    Cython

    Cython

    Cython is an optimizing static compiler for both the Python programming language and the extended Cython programming language (based on Pyrex). It makes writing C extensions for Python as easy as Python itself. Cython gives you the combined power of Python and C to let you write Python code that calls back and forth from and to C or C++ code natively at any point. Easily tune readable Python code into plain C performance by adding static type declarations, also in Python syntax. Use combined source code level debugging to find bugs in your Python, Cython, and C code. Interact efficiently with large data sets, e.g. using multi-dimensional NumPy arrays. Quickly build your applications within the large, mature, and widely used CPython ecosystem. The Cython language is a superset of the Python language that additionally supports calling C functions and declaring C types on variables and class attributes.
    Starting Price: Free
  • 33
    Assembly

    Assembly

    Assembly

    Assembly language is a low-level computer programming language that is used to directly control the hardware of a computer system. It consists of symbols and words that represent specific instructions to the processor. Assembly language is often used to optimize programs written in higher-level languages, as it can provide a more efficient way to access memory and other resources.
  • 34
    Solidity

    Solidity

    Solidity

    Solidity is a statically-typed curly-braces programming language designed for developing smart contracts that run on Ethereum. As a relatively young language, Solidity is advancing at a rapid speed. We aim for a regular (non-breaking) release every month, with approximately one breaking release per year. You can follow the implementation status of new features in the Solidity Github project. You can see the upcoming changes for the next breaking release by switching from the default branch (`develop`) to the `breaking branch`. You can actively shape Solidity by providing your input and participating in the language design.
    Starting Price: Free
  • 35
    Dylan

    Dylan

    Dylan

    It is dynamic while providing a programming model designed to support efficient machine code generation, including fine-grained control over dynamic and static behaviors. Describes the Open Dylan implementation of the Dylan language, a core set of Dylan libraries, and a library interchange mechanism. The core libraries provide many language extensions, a threads interface, and object finalization, printing and output formatting modules, a streams module, a sockets module, and modules providing an interface to operating system features such as the file system, time and date information, the host machine environment, as well as a foreign function interface and some low-level access to the Microsoft Win32 API.
    Starting Price: Free
  • 36
    Dart

    Dart

    Dart Language

    Mature and complete async-await for user interfaces containing event-driven code, paired with isolate-based concurrency. A programming language optimized for building user interfaces with features such as sound null safety, the spread operator for expanding collections, and collection if for customizing UI for each platform. Write code using a flexible type system with rich static analysis and powerful, configurable tooling. Target the web with complete, mature, fast compilers for JavaScript. Run backend code supporting your app, written using a single programming language. This collection is not exhaustive—it’s just a brief introduction to the language for people who like to learn by example. You might also want to check out the language and library tours, or the Dart cheatsheet codelab.
  • 37
    ZenScript

    ZenScript

    CraftTweaker

    ZenScript originated from MineTweaker where a simple programming language is needed to allow users without programming knowledge to be able to execute simple commands by following the tutorials for it. Originally MineTweaker had a simple one-line-at-a-time parsed scripting system, but it quickly became clear that it wasn't flexible enough, so a simple parsed language was created. This parsed language worked quite well but was very inefficient as each value was wrapped into its own object. ZenScript allows mixed typed and typeless behavior. You don't need to define types anywhere, the compile will infer them where possible and exhibit typeless behavior when the type is effectively unknown. In nearly all the cases, the type is perfectly known and execution runs at native Java speed. Since there are types, they can be documented and enforced.
    Starting Price: Free
  • 38
    Crystal

    Crystal

    Crystal

    Crystal’s syntax is heavily inspired by Ruby’s, so it feels natural to read and easy to write, and has the added benefit of a lower learning curve for experienced Ruby devs. Crystal is statically type-checked, so any type errors will be caught early by the compiler rather than fail on runtime. Moreover, and to keep the language clean, Crystal has built-in type inference, so most type annotations are unneeded. All types are non-nilable in Crystal, and available variables are represented as a union between the type and nil. As a consequence, the compiler will automatically check for null references in compile time. Crystal’s answer to metaprogramming is a powerful macro system, which ranges from basic templating and AST inspection to types inspection and running arbitrary external programs.
    Starting Price: Free
  • 39
    Eclipse Ceylon

    Eclipse Ceylon

    Eclipse Ceylon

    Eclipse Ceylon is a language for writing large programs in teams. To learn more, read the 15 minute quick intro, before taking the tour of the language. The best way to try it out is to download the IDE and write some code. Then you can explore the modules in Ceylon Herd. Or you can try it online. This is a community project. Everything we produce is open source and all our work happens out in the open on GitHub and GitHub. Eclipse Ceylon's powerful flow-sensitive static type system catches many bugs while letting you express more, more easily: union and intersection types, tuples, function types, mixin inheritance, enumerated types, and reified generics. We spend more time reading other people's code than writing our own. Therefore, Eclipse Ceylon prioritizes readability, via a highly regular syntax, support for treelike structures, and elegant syntax sugar where appropriate.
    Starting Price: Free
  • 40
    C#

    C#

    Microsoft

    C# (also known as C Sharp, pronounced "See Sharp") is a modern, object-oriented, and type-safe programming language. C# enables developers to build many types of secure and robust applications that run in .NET. C# has its roots in the C family of languages and will be immediately familiar to C, C++, Java, and JavaScript programmers. This tour provides an overview of the major components of the language in C# 8 and earlier. C# is an object-oriented, component-oriented programming language. C# provides language constructs to directly support these concepts, making C# a natural language in which to create and use software components. Since its origin, C# has added features to support new workloads and emerging software design practices. At its core, C# is an object-oriented language. You define types and their behavior.
    Starting Price: Free
  • 41
    Fortran

    Fortran

    Fortran

    Fortran has been designed from the ground up for computationally intensive applications in science and engineering. Mature and battle-tested compilers and libraries allow you to write code that runs close to the metal, fast. Fortran is statically and strongly typed, which allows the compiler to catch many programming errors early on for you. This also allows the compiler to generate efficient binary code. Fortran is a relatively small language that is surprisingly easy to learn and use. Expressing most mathematical and arithmetic operations over large arrays is as simple as writing them as equations on a whiteboard. Fortran is a natively parallel programming language with intuitive array-like syntax to communicate data between CPUs. You can run almost the same code on a single CPU, on a shared-memory multicore system, or on a distributed-memory HPC or cloud-based system.
    Starting Price: Free
  • 42
    Nim

    Nim

    Nim

    Nim is a statically typed compiled systems programming language. It combines successful concepts from mature languages like Python, Ada and Modula. Nim generates native dependency-free executables, not dependent on a virtual machine, which are small and allow easy redistribution. Nim's memory management is deterministic and customizable with destructors and move semantics, inspired by C++ and Rust. It is well-suited for embedded, hard-realtime systems. Modern concepts like zero-overhead iterators and compile-time evaluation of user-defined functions, in combination with the preference of value-based datatypes allocated on the stack, lead to extremely performant code. Support for various backends: it compiles to C, C++ or JavaScript so that Nim can be used for all backend and frontend needs.
    Starting Price: Free
  • 43
    Clojure

    Clojure

    Clojure

    Clojure is a robust, practical, and fast programming language with a set of useful features that together form a simple, coherent, and powerful tool. Clojure is a dynamic, general-purpose programming language, combining the approachability and interactive development of a scripting language with an efficient and robust infrastructure for multithreaded programming. Clojure is a compiled language, yet remains completely dynamic, every feature supported by Clojure is supported at runtime. Clojure provides easy access to the Java frameworks, with optional type hints and type inference, to ensure that calls to Java can avoid reflection. Clojure is a dialect of Lisp, and shares with Lisp the code-as-data philosophy and a powerful macro system. Clojure is predominantly a functional programming language and features a rich set of immutable, persistent data structures. When a mutable state is needed, Clojure offers a software transactional memory system and reactive Agent system.
    Starting Price: Free
  • 44
    Pine Script

    Pine Script

    TradingView

    Pine Script® is TradingView’s programming language. It allows traders to create their own trading tools and run them on our servers. We designed Pine Script® as a lightweight, yet powerful, language for developing indicators and strategies that you can then backtest. Most of TradingView’s built-in indicators are written in Pine Script®, and our thriving community of Pine Script® programmers has published more than 100,000 community scripts. It’s our explicit goal to keep Pine Script® accessible and easy to understand for the broadest possible audience. Pine Script® is cloud-based and therefore different from client-side programming languages. While we likely won’t develop Pine Script® into a full-fledged language, we do constantly improve it and are always happy to consider requests for new features. Because each script uses computational resources in the cloud, we must impose limits in order to share these resources fairly among our users.
    Starting Price: Free
  • 45
    Common Lisp

    Common Lisp

    Common Lisp

    Common Lisp is the modern, multi-paradigm, high-performance, compiled, ANSI-standardized, most prominent (along with Scheme) descendant of the long-running family of Lisp programming languages. Common Lisp is known for being extremely flexible, having excellent support for object oriented programming, and fast prototyping capabilities. It also sports an extremely powerful macro system that allows you to tailor the language to your application, and a flexible run-time environment that allows modification and debugging of running applications (excellent for server-side development and long-running critical software). It is a multi-paradigm programming language that allows you to choose the approach and paradigm according to your application domain.
    Starting Price: Free
  • 46
    NoSQL

    NoSQL

    NoSQL

    NoSQL is a domain-specific programming language used for accessing, managing, and manipulating non-tabular databases. A NoSQL (originally referring to "non-SQL" or "non-relational") database provides a mechanism for storage and retrieval of data that is modeled in means other than the tabular relations used in relational databases. Such databases have existed since the late 1960s, but the name "NoSQL" was only coined in the early 21st century, triggered by the needs of Web 2.0 companies. NoSQL databases are increasingly used in big data and real-time web applications.NoSQL systems are also sometimes called Not only SQL to emphasize that they may support SQL-like query languages or sit alongside SQL databases in polyglot-persistent architectures. Many NoSQL stores compromise consistency (in the sense of the CAP theorem) in favor of availability, partition tolerance, and speed. Barriers to the greater adoption of NoSQL stores include the use of low-level query languages.
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    PascalABC.NET

    PascalABC.NET

    PascalABC.NET

    The new generation Pascal programming language combines the simplicity of classic Pascal, a great number of modern extensions, and the broad capabilities of Microsoft .NET Framework. Free, simple, and powerful IDE. Built-in form designer for rapid development of Windows desktop applications. Download the latest version of PascalABC.NET with a build-in form designer. Several extensions of the Pascal language, including the foreach operator, in-block variable definitions, auto type deduction in variable definitions, simplified syntax of units, method implementations inside classes and records, a new operator for object construction, anonymous classes, auto-classes, BigIntegers, etc. The most modern features of programming languages like n-dimensional dynamic arrays, generics, interfaces, operator overloading, exceptions, garbage collection, and lambda expressions. IDE with integrated debugger, IntelliSense system, code templates, and code auto-formatting.
    Starting Price: Free
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    Ada

    Ada

    AdaCore

    Ada is a state-of-the-art programming language that development teams worldwide are using for critical software, from microkernels and small-footprint, real-time embedded systems to large-scale enterprise applications, and everything in between. Why use Ada? In short, because you want to write reliable and efficient code, with confidence that it works, and not waste time and effort in the process. Ada is unique among languages in how it helps you detect and eliminate bugs early in the software life cycle when they are least expensive to correct. And as evidenced by the many successfully fielded applications that need to meet a hard time or space constraints, Ada helps you build software that is reliable, safe, and secure without sacrificing performance. At the technical level, Ada has everything you might expect in a modern language. Concurrent programming features, including support for multicore.
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    V Programming Language

    V Programming Language

    V Programming Language

    Simple, fast, safe, and compiled. For developing maintainable software. Simple language for building maintainable programs. You can learn the entire language by going through the documentation over a weekend, and in most cases, there's only one way to do something. This results in simple, readable, and maintainable code. This results in simple, readable, and maintainable code. Despite being simple, V gives a lot of power to the developer and can be used in pretty much every field, including systems programming, webdev, gamedev, GUI, mobile, science, embedded, tooling, etc. V is very similar to Go. If you know Go, you already know 80% of V. Bounds checking, No undefined values, no variable shadowing, immutable variables by default, immutable structs by default, option/result and mandatory error checks, sum types, generics, and immutable function args by default, mutable args have to be marked on call.
    Starting Price: Free
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    OCaml

    OCaml

    OCaml

    OCaml is a general-purpose, industrial-strength programming language with an emphasis on expressiveness and safety. OCaml’s powerful type system means more bugs are caught at compile time, and large, complex codebases are easier to maintain. This makes it a good language for running critical code. At the same time, sophisticated inference makes the type system unobtrusive, creating a smooth developer experience. One is a bytecode compiler which generates small, portable executables and is very fast. The other is a native code compiler that produces more efficient machine code; its performance matches the highest standards of modern compilers. OCaml has great support for the most popular editors. VS Code is recommended for beginners, and for power users there is deep integration with Vim and Emacs. OCaml has a rich and dynamic community and best-in-class tooling.
    Starting Price: Free