ffead-cpp and the C++ framework that bundles the whole application stack

A web layer, an application layer and utilities in one tree

ffead-cpp is described in the README as a web framework, an application framework and utilities all bundled into one. On top of that it ships an embedded HTTP and WebSocket compliant server core, and the project description adds that it is HTTP1, HTTP2 and HTTP3 compliant and supports multiple server backends.

The architecture is modular in a literal sense. The README describes it as a collection of modules all geared towards performing individual roles, which together form the backbone of the framework, and the repository layout backs that up with directories for modules/, src/, lib/, web/, resources/, public/, script/, tools and tests, plus separate trees for language server backends, sample instances and toolchains.

The audience is a team that has to ship an enterprise-style application in C++ and would rather not assemble a web framework, an ORM, a cache client and a job runner from separate projects. That is the pitch, and it is a coherent one for the C++ ecosystem, which historically forced exactly that kind of assembly.

The project also links to a TechEmpower benchmark status page and claims a position in the results, which is worth coming back to, because the claim in the README is dated by the word currently.

SDORM, a serialization runtime and dependency injection in the same box

Three subsystems carry most of the framework's weight. The first is the database layer, called SDORM, which the README says solves the issues of interfacing with SQL and No-SQL databases alike, so a single object mapping approach spans both kinds of store rather than two separate mappers.

The second is the serialization run-time, described as multi-level or template-level serialization. Any C++ POCO class can be marked as serializable, and the run-time then handles marshalling and unmarshalling to and from JSON, XML and BINARY forms. Marking a plain class rather than inheriting from a base is the design decision that makes this usable with code you did not write.

The third is the application services layer: reflection, dependency injection described as IOC, inbuilt REST and SOAP support, and security and authentication features. Interfaces to caching tools such as Memcached and Redis are provided in the same way, so a cache client is not an extra dependency you wire yourself.

The web layer itself is written as plain classes too. Services, controllers, filters, interfaces and APIs are all simple POCO classes, and the README stresses that none of them need to extend any framework class. For a codebase with existing domain objects, that removes the usual objection to adopting a web framework, which is that it demands you reshape your types.

Pragma markers replace the XML configuration file

The differentiating feature the README puts first is the use of markers, described as the equivalent of Java annotations. Simple #pragma directives can drive the entire configuration, and the README's phrasing is that you can then forget XML configuration altogether.

The alternative is still there. ffead-cpp can be driven by XML configuration, which is a reasonable default for a project that started in an era when that was the norm, and the #pragma route is the newer one. The practical difference is where the metadata lives. XML keeps the wiring in a separate file that a deployment can change without recompiling, while pragma markers bind the metadata to the source and travel with it.

That trade-off cuts both ways in a server deployment. Compilation-time configuration cannot be altered by editing a file on the host, but it also cannot drift out of sync with the code, which is a common source of production incidents in XML-configured systems. If your deployment pipeline already templates XML files, the pragma path is not an improvement, and if your developers edit config by hand in production, it is.

The repository also carries code generation scripts, ffead_gen.sh and ffead_gen_autoconf.sh with their help files, plus a .siegerc file and a doxygen configuration for the server, which suggests the generator is part of the intended workflow rather than a leftover.

Eight build systems and a cross-compilation matrix

The build story is where this project is most unusual. The README lists cmake, autoconf, meson, xmake, scons, shellb, bazel and buck2 as supported build systems, and the repository root contains the matching entry points: CMakeLists.txt, configure.ac with aclocal.m4 and Makefile.am, meson.build with meson_options.txt, sconstruct with scons_options.py, xmake.lua, and shell scripts for bazel, buck2, shellb and xmake installation.

The continuous integration matrix is equally broad. The badges show builds running on AlmaLinux, Alpine, Arch Linux, Gentoo, macOS, OpenSUSE, Ubuntu, Windows under Cygwin and Windows under MinGW-w64, with separate workflows for musl cross compilation, a dockcross uclibc-wrt build, an Android cross build and a mingw-w64 cross build. There is also a dedicated workflow for building under Node.js with Emscripten, and a CodeQL analysis workflow.

For an embedded or appliance project, the uclibc-wrt build is the one to notice, since that is the OpenWrt toolchain and it is the difference between shipping on a general-purpose distribution and shipping on a router. Building the same framework for a phone, a desktop and an embedded router from one tree is a genuine engineering asset, and it is not a claim that could be made from a project with one build system.

The cost of that breadth is that a bug may reproduce on one toolchain and not another, so a team adopting it should decide early which toolchain is the supported one and treat the rest as coverage rather than as targets.

Where the install instructions actually live

The README does not give a step-by-step installation, and it says where the details are instead: detailed OS specific instructions, instructions for installing the available server backends, and docker and docker-compose scripts are located in the docker directory of the repository.

That directory is structured per operating system. The README's build validation table links to per-distribution Dockerfiles for Ubuntu x64, AlmaLinux x64, OpenSUSE x64, Gentoo x64 and Arch Linux x64, and the same directory holds the Alpine image. Each of those is a recipe for a working toolchain on that distribution, which is the practical first step for a team that wants to try the framework without reverse engineering it.

There is also a vagrant/ directory, sample-inst/ with sample instances, and a lang-server-backends/ directory, the last pointing to a direction the project has taken since the README was written, since the README itself says the framework can be driven by XML or pragma configuration and does not mention language server tooling.

One build helper worth knowing about is the separate shellb project, which the README links as the source of the shellb build system, and the ffead-cpp-shellb.sh script in the root drives it. The siege.sh file suggests a load-testing script for the HTTP server is included, and ffead-server.doxyfile generates API documentation for the server component.

Since the README leaves the concrete commands to the docker tree, take the per-OS Dockerfile for your distribution as the reference procedure rather than expecting a copy-paste command from the top-level page.

The benchmark claim and the limits of the release line

The README makes one performance claim and it is specific: according to the latest TechEmpower benchmark results, ffead-cpp in the embedded plus v-picov configuration is the 20th fastest web, http and sql framework in the world, with a link to the benchmark status page. Two things are worth separating here. The benchmark name and configuration are stated, which is more than most projects offer, and the claim is a ranking at a point in time, since the word currently in the sentence dates it to whenever the README was last edited.

The comparison is also restricted to a specific configuration. An embedded server with a particular database driver is a different operating profile from a full proxy-style deployment, and a ranking among frameworks measured under one harness does not translate directly into latency or throughput for your workload.

The release history is where the caution belongs. The tagged releases are 6.0 on 2023-10-22, v5.3 on 2021-04-21 and v5.2 on 2020-12-02, so the newest published tag is more than two years old, while the last push to the repository was on 2026-06-12 and the repository is not archived. Work is happening in the tree without being cut into numbered releases, which means a new colleague arriving today has no changelog to read between v6.0 and the current state of the default branch.

The licence is the other open item. GitHub could not classify the licence for this repository, and the top-level file listing contains no LICENSE file, unlike the other C++ projects in this set. For an enterprise framework, that is a question to resolve with the author before any code ships, since without a licence the default position is that no permission to use, copy or modify is granted.

Editorial conclusion

Adopt ffead-cpp if you are writing a C++ service that needs a web layer, an ORM and an embedded server without stitching three frameworks together, and if your team is comfortable with a codebase whose conventions live in the source rather than in a manual. Skip it if a clear licence is a procurement requirement, because the repository lists no licence file and GitHub cannot classify one, and think twice if the last published release being v6.0 from 2023-10-22 is a problem, since the last push on 2026-06-12 is where the recent work actually sits. Verify first that the OS and toolchain pair you need has a Dockerfile under docker/os-based, and that the server backend you intend to install is covered by the instructions in the docker directory before you commit to it.

Frequently asked questions

Official sources

1. Issues
2. README
3. Releases
4. sumeetchhetri/ffead-cpp on GitHub