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EasyPal is a sophisticated digital Slow-Scan Television (SSTV) application that utilizes soundcard technology to encode and decode SSTV signals. Developed by the late Erik Sundstrup (VK4AES SK), this software has evolved into a versatile communication tool for amateur radio operators, extending beyond basic image transmission capabilities. EasyPal implements Digital Radio Mondiale (DRM) encoding technology, enabling efficient data transmission over narrow 2.5 KHz channels on both HF and VHF frequencies with remarkable speed. The application supports multiple file formats, including jpg, pdf, txt, doc, and xls, as well as specialized forms such as ICS-213 and ICS-213 (ARES). Additionally, EasyPal offers email functionality through designated repeater stations with internet access. Its responsive development history and robust feature set have established it as a premier digital SSTV solution in the amateur radio community, though users of Windows 11 should note specific configuration requirements to ensure optimal performance.

Operating Slow Scan Television (SSTV) on Apple macOS systems requires specialized software to encode and decode images for transmission over amateur radio frequencies. MultiScan 3B was an application designed for this purpose, enabling Mac users to engage in SSTV communications. It supported various popular SSTV modes, including Robot Black & Color, Scottie, Martin, PD modes (P3, P5, P7), and AVT, catering to a wide range of operational preferences and compatibility requirements within the SSTV community. The software's capabilities extended to both transmitting and receiving pictures, offering flexibility in how images were processed. Users could select regular, narrow, QRM, and narrow+QRM modes, allowing for adaptation to different band conditions and signal environments. This feature was particularly useful for mitigating interference and optimizing image quality during transmissions on HF bands. MultiScan 3B was built to run on Mac OS X 10.6 and later versions, providing a dedicated solution for Mac users interested in this classic digital mode. Its support for multiple modes and operational settings made it a versatile tool for SSTV enthusiasts.

A blog site dedicated to SSTV Slow Scan Television images transmitted from the International Space Station

To get this award one should receive and decode at least one picture in the session. The quality of the received image does not have to be perfect, but good enough to be able to identify. The picture does not have to be full. It is acceptable to send just some part of the picture as well.

Ham Satting is a multi-platform application developed by A46UNX (Yousuf AL Balushi) for amateur radio satellite tracking. It offers real-time visualization of ISS and amateur satellites on an interactive map, along with detailed pass predictions including AOS, LOS, duration, azimuth, and elevation data. The app provides a timeline view for multiple passes and smart notifications for upcoming passes, with options to add to a calendar. Key features include QSO logging to a local database with filtering, searching, exporting, and emailing capabilities. It also supports location mapping to display QTH and current locations, tracking grid squares. A notable feature is the SSTV decoder, which supports Robot 36/72, Scottie, Martin, and PD modes with manual fine-tuning. Ham Satting is available for iOS, macOS, and Android, with BETA versions for Windows and Linux. The developer, A46UNX, started his ham radio journey in November 2024 as a member of The Royal Omani Amateur Radio Society (ROARS).

Fram2, the first human spaceflight in polar orbit, launches spring 2025 aboard SpaceX's Falcon 9. Inspired by the polar exploration ship Fram, the mission highlights innovation and exploration. Four astronauts from Europe and Australia will orbit Earth for 3–5 days, including ham radio operator Rabea Rogge, who will transmit SSTV images for an educational competition. Open to students aged 16–25, the contest challenges teams to identify polar-related sites. Fram2 collaborates with ARISS to inspire STEAM learning through space communications.