Where can I download Siril for Windows, macOS, or Linux?
Updated
Download Siril from its official website, siril.org. The current release listed there is version 1.4.4, published June 17, 2026, and the site offers separate builds for Linux, Windows, macOS, and the source code. Pick the package that matches your operating system and whether you prefer a normal install or a portable/self-contained build.
Download options by platform
| Platform | Package | Notes |
|---|---|---|
| Linux | AppImage | Self-contained Linux build |
| Linux | Flathub Flatpak | Third-party distribution channel |
| Windows | 64-bit UCRT64 | Standard 64-bit installer |
| Windows | Portable UCRT64 | No-install portable build |
| Windows | 64-bit MINGW64 | Marked deprecated |
| Windows | Portable MINGW64 | Marked deprecated |
| macOS | Intel | For Intel-based Macs |
| macOS | Apple Silicon | For M-series Macs |
| Any | Source Code | Build it yourself |
The site also flags known issues with version 1.4.4 and links to its bug tracker, so it is worth checking that page before installing if you hit a problem.
How to choose
- Linux: use the AppImage if you want a single portable file; use Flathub if you prefer managing software through Flatpak.
- Windows: choose the UCRT64 builds. The MINGW64 variants are explicitly marked deprecated, so only use them if you have a specific reason.
- macOS: match the build to your hardware — Intel or Apple Silicon. Running the wrong one will not give you the native performance the correct build provides.
- Building from source: available if you want to compile Siril yourself or your platform is not covered by the prebuilt packages.
What you get once installed
Siril is an astronomical image processing tool covering a full workflow: calibration (removing unwanted signal and patterns from RAW frames using bias, dark, and flat masters), stacking (combining registered frames to improve signal-to-noise ratio, with outlier rejection), enhancement (colour calibration, deconvolution, histogram stretching), and science tools such as star brightness analysis and astrometry. It can run these steps automatically via dedicated scripts or manually if you want control over each stage.
If you use Siril in published work, the site asks that you cite: C. Richard et al., Journal of Open Source Software, 2024, 9(102), 7242, DOI: 10.21105/joss.07242.