Boomerang vs Chalkboard
Boomerang
github.comChalkboard
github.comSide by side
| Figure | Boomerang | Chalkboard |
|---|---|---|
| Price from | Free | Free |
| Free plan | Yes | Yes |
| Free trial | — | — |
| Open source | — | — |
| Web | — | Yes |
| Windows | Yes | — |
| macOS | Yes | — |
| Linux | Yes | — |
| Self-hosted | — | Yes |
| Plans published | 1 | 1 |
| Spec score · Reverse Engineering Tools | 8.5 (#6) | 7.7 (#21) |
| License | The repository describes Boomerang as BSD licensed. | Chalkboard is released under the MIT License. |
| Purpose | Boomerang is an open-source machine-code decompiler that attempts to turn executable files into high-level source code. | Chalkboard turns a prompt into a narrated, whiteboard-style explainer video exported as an MP4. |
Plans
In their own words
Boomerang
Boomerang is an open-source decompiler that translates supported machine-code binaries into C source code. It supports x86 (IA-32 only), PPC, and ST20 architectures, and accepts ELF, PE, DOS MZ, DOS/4GW LE, and Mach-O files. Users can run it as a command-line tool or a GUI application. The project describes its license as BSD, and the software is free. Build instructions cover Linux, macOS, and Windows, but compiling requires a 64-bit operating system and a C++17 compiler; 32-bit systems are not supported. Documented prerequisites include CMake, Qt5, Capstone, GNU bison, and GNU flex. Precompiled packages are available for release versions, although the project recommends building the development branch from source. Unit and regression tests are provided, but the README says the regression test suite cannot be built on Windows. The maker describes the release as intended for developers and experimenters and warns that large-binary decompilation may disappoint. Decompiled output does not recreate the original source file and may differ from it. The project directs users to its GitHub issue tracker for bug reports.
Chalkboard
Chalkboard is free, MIT-licensed software that turns a prompt into a narrated explainer video and exports an MP4. It supports 16:9 explainers, vertical short-form reels, and cinematic documentaries. Cinematic mode researches a topic and places cited sources in the script. Productions can be dubbed into multiple languages in one run, with subtitles set independently from narration language. Script generation works with Anthropic, OpenAI, or local Ollama; narration can use Piper, OpenAI, or ElevenLabs. Chalkboard creates hand-drawn diagrams, supports SVG artwork, and can generate images through OpenAI’s gpt-image-2. Subtitles and mood-matched music are enabled by default, with Jamendo or user-supplied tracks available. The project provides a command-line interface, library, HTTP API, and web studio, and runs self-hosted. Ollama and Piper support local generation at zero marginal cost per video. Generated images require an OpenAI API key and may incur costs.