Open Source OCaml (Objective Caml) Software

Audio toolkit for streaming, aiming at complex Internet radio systems. Our stream generator is highly extensible and flexible. Script based, it can be a fully automatic daemon streamer, but is also used for live shows with an user-friendly GUI.

pdfsandwich generates "sandwich" OCR pdf files, i.e. pdf files which contain only images (but no editable text) will be processed by optical character recognition (OCR) and the text will be added to each page invisibly "behind" the images. pdfsandwich is a command line tool which is supposed to be useful to OCR scanned books or journals. It is able to recognize the page layout even for multicolumn text. Essentially, pdfsandwich is a wrapper script which calls the following binaries: convert, unpaper, tesseract, gs, and hocr2pdf (if tesseract < 3.03). It is known to run on Unix systems and has been tested on Linux and MacOS X. It supports parallel processing on multiprocessor systems. In contrast to most competing sandwich programs, it performs preprocessing of the scanned images, such as de-skewing or removal of dark edges etc. For further information please read the manual: http://www.tobias-elze.de/pdfsandwich/index.html

MLDonkey is a multi-platform multi-network peer-to-peer client.

Static analysis at ludicrous speed. Find bugs and enforce code standards. Find and prevent security issues in Terraform, Docker, Kubernetes, nginx, and AWS configs before they go into production. Go beyond application code and protect the entire stack with a breadth of scanning capabilities. Don't leak secrets, scan every commit and ensure secrets don't make it to production. Protect the privileged CI/CD environment from malicious activity that could result in access to source code, secrets, and more. Run with registry rules or your own. Code is analyzed locally (not uploaded). Get results at ludicrous speed with diff-aware scans, review findings in MR and PR comments, and deploy Semgrep across your organization’s projects. Go beyond the registry with rules specific to your organization. Write rules to enforce your own code guardrails.

Connect processes into powerful data pipelines with a simple git-like filesystem interface. DataKit is a tool to orchestrate applications using a Git-like dataflow. It revisits the UNIX pipeline concept, with a modern twist: streams of tree-structured data instead of raw text. DataKit allows you to define complex build pipelines over version-controlled data. DataKit is currently used as the coordination layer for HyperKit, the hypervisor component of Docker for Mac and Windows, and for the DataKitCI continuous integration system. src contains the main DataKit service. This is a Git-like database to which other services can connect. ci contains DataKitCI, a continuous integration system that uses DataKit to monitor repositories and store build results. The easiest way to use DataKit is to start both the server and the client in containers.

Flow is a static type checker for JavaScript. It was designed to help improve code quality and developer productivity. It does this through several smart capabilities. First, it identifies problems as you code, so you no longer have to waste time guessing and checking again and again. Second, it understands your code and makes its knowledge available, allowing you to build other smart tools on top of it. Third, it helps you refactor safely so you can focus on the changes you want to make and not on what you might break. Lastly, it can help prevent bad rebases and protect your carefully designed library, which is especially relevant when working with a large group of developers. Flow integrates with many tools, so you can easily and seamlessly insert it into your existing workflow and toolchain.

A programming framework for building type-safe, modular systems. MirageOS is a library operating system that constructs unikernels for secure, high-performance network applications across a variety of cloud computing and mobile platforms. Code can be developed on a normal OS such as Linux or macOS, and then compiled into a fully standalone, specialized unikernel that runs under a Xen or KVM hypervisor. This lets your services run more efficiently, securely and with finer control than with a full conventional software stack.

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. OCaml has two compilers. One is a bytecode compiler that 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.

Dream is an easy-to-use, boilerplate-free Web framework, whose entire API fits on this page! It supports TLS, WebSockets, and GraphQL. HTTP/2 support is transparent. A nice log and OCaml runtime configuration. Easy-to-use, secure helpers for round-tripping cookies and forms. Templates that interleave OCaml with already-familiar HTML. A fully composable router. Session management with pluggable back ends; and unified error handling that leaks no English strings from any level of your app. You can integrate Dream into a fully self-contained binary, or run it in large deployments behind proxies. Dream assumes no databases, environment variables, or configuration files, and requires no setup beyond installing the one package, dream. Dream sticks to base OCaml types as much as possible, introducing only a few types of its own. Dream handlers and middlewares are just bare functions. Dream has a flat namespace and aims for maximal clarity.

Irmin is an OCaml library for building mergeable, branchable distributed data stores. A distributed database built on the same principles as Git. Backup and restore your data at any point in time. You can use Irmin on top of your own storage layer. Automatic (de)serialization for custom data types. Runs anywhere from Linux to web browsers and Xen unikernels. Bi-directional compatibility with the Git on-disk format. Irmin state can be inspected and modified using the Git command-line tool. Allows users to define custom merge functions and create event-driven workflows using a notification mechanism. Runs anywhere from Linux to web browsers and Xen unikernels. Allows the users to define custom merge functions, use in-memory transactions (to keep track of reads as well as writes) and to define event-driven workflows using a notification mechanism. You can use Irmin on top of your own storage layer.

Opam is a source-based package manager for OCaml. It supports multiple simultaneous compiler installations, flexible package constraints, and a Git-friendly development workflow. Opam was created and is maintained by OCamlPro. To get started, checkout the Install and Usage guides. Run ./configure. If you don't have the dependencies installed, this will locally take care of all OCaml dependencies for you (downloading them, unless you used the inclusive archive we provide for each release). This is all you need for installing and using opam, but if you want to use the opam-lib (to work on opam-related tools), you need to link it to installed libraries. It's easier to already have a working opam installation in this case, so you can do it as a second step. If you install on your system (without changing the prefix), you will need to install as root (sudo). As sudo do not propagate environment variables, there wil be some errors.

Renderer for flam3 cosmic recursive fractal flames implemented on GPU. Requires a CUDA-capable graphics card.

OCamlSDL is an OCaml interface to the SDL (Simple DirectMedia Layer) library.

A tennis simulation developed by a former tennis player. Its main feature is realism. For gameplay, this means you have total control over the shot parabola. For graphics, it means players have realistic gestures. For AI, it means real tactics.

OCaml-Magic is an OCaml (http://caml.inria.fr/) binding for libmagic (to determine the type of files).

The Archive of Formal Proofs is a collection of proof libraries, examples, and larger scientifc developments, mechanically checked in the theorem prover Isabelle. It is organized in the way of a scientific journal. Submissions are refereed.

WideStudio is an Integrated Development Environment (IDE) for building window applications in C++, Ruby, Python an Perl for Windows, MacOSX, Linux, FreeBSD, SOLARIS and other unix and BTRON and T-Engine. This is open and free (under MIT/X Consortiun Lice

OCaml bindings for the GLPK (GNU Linear Programming Kit) library for solving linear programming and mixed integer programming problems.

A set of very optimized tools for indexing/querying huge genomes/files. Provided so far: a very fast exact mapper, and an unconstrained split-mapper

MTASC is an open-source (GPLv2) ActionScript 2.0 compiler developed by Motion-Twin Technologies (http://www.mtasc.org/). Motion-Twin no longer releases updates to MTASC though. This project is a community fork of MTASC with new improvements.

Camomile is a Unicode library for ocaml. Camomile provides Unicode character type, UTF-8, UTF-16, UTF-32 strings, conversion to/from about 200 encodings, collation and locale-sensitive case mappings, and more.

A collection of Objective Caml libraries to support the development of concurrent, single-threaded Internet application servers.

Carafe is an implementation of Conditional Random Fields and related algorithms targeted at text processing applications. The latest version, jCarafe, is implemented in Scala and runs on the JVM.

A collection of tools for formalizing programming languages and compilers, based around the Coq proof assistant

ParTools allows the interactive analysis of a C program execution profile and data dependencies to facilitate the discovery and selection of suitable parallelization candidates in a manual parallelization process. The flow does not assume any specific parallelization technique, thus it can be broadly applied. The original (serial) C source is automatically annotated to trace the execution profile and data dependencies at run-time. The annotated program is then executed using a significant (but small) data set selected by the developer. The data collected is cross-referenced with the original source and can be interactively analyzed graphically to determine the best parallelization candidates and techniques.