Home / Alternatives to AVR Tutorial Apps Like AVR Tutorial for iPhone and iPad
by Siu Yuen Ho ★ 5.0 2 ratings Utilities Free Data updated 2026-09-10
Ranked alternatives Showing 401–420 of 1,000 ranked alternatives.
PT. Mitra Informatika
★ 0.0 0 ratings Utilities Free Data updated 2026-09-06
SEASOFT LTD.
★ 0.0 0 ratings Photo & Video Free Data updated 2026-09-13
John Millhouse
★ 5.0 1 ratings Utilities $0.99 Data updated 2026-09-06
Kajal Darji
★ 1.0 1 ratings Utilities Free Data updated 2026-09-06
Shenzhen Macrotellect Limited
★ 0.0 0 ratings Utilities Free Data updated 2026-09-06
Plume Design, Inc.
★ 1.0 1 ratings Utilities Free Data updated 2026-09-06
ams AG
Measure spectra with Bluetooth and battery power
Perform spectral analysis in the 750 nm to 1050 nm range using a 64-channel NIR sensor. Measure reflectance and absorbance for material identification. Include chemometric models for BRIX, Dry Matter, and cocoa content in fruits and chocolate.
★ 0.0 0 ratings Utilities Free Data updated 2026-09-06
Learn-Train Inc.
★ 4.0 1 ratings Education $19.99 Data updated 2026-09-06
Xi'an NovaStar Tech Co.,Ltd
★ 5.0 1 ratings Utilities Free Data updated 2026-09-06
AUTO JAW CO., LTD
★ 0.0 0 ratings Utilities Free Data updated 2026-09-06
修勇 黄
★ 1.0 1 ratings Developer Tools Free Data updated 2026-09-06
Clayton Miller
★ 5.0 1 ratings Utilities Free Data updated 2026-09-06
Muhammad Mubeen
★ 5.0 1 ratings Education $1.99 Data updated 2026-09-06
Volution Group PLC
★ 5.0 1 ratings Utilities Free Data updated 2026-09-10
Illum Horticulture LLC
★ 2.0 1 ratings Utilities Free Data updated 2026-09-06
UNITED KINGDOM MARITIME PILOTS' ASSOCIATION
★ 5.0 1 ratings Reference Free Data updated 2026-09-06
iCert Inc,
★ 1.0 1 ratings Education Free Data updated 2026-09-06
Media Maestro Pty Ltd
★ 1.0 1 ratings Games $0.99 Data updated 2026-09-14
RobotPatient Development BV
★ 0.0 0 ratings Utilities Free Data updated 2026-09-06
Toby Leader
★ 2.0 1 ratings Utilities Free Data updated 2026-09-11
How we rank alternatives Apps are ranked by functional similarity, category fit, rating confidence, and popularity.
Previous Next