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4 footprints matching “Generic”

Land patterns on their own — 19,830 of them, most never referenced by a symbol in the catalog. Each passed the courtyard and pad checks; 7,626 come with the 3D model they name.

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PQFN-8-EP_6x5mm_P1.27mm_Generic

FP3D

Package_DFN_QFN

Universal Footprint for Thermally-enhanced SO-8 packages; compatible with Vishay PowerPAK SO−8, International Rectifier PQFN, Texas Instrument SON 5 × 6 mm (Q5A), Alpha and Omega DFN 5 × 6, ST Microelectronics PowerFLAT™ 5 × 6, Toshiba SOP Advance, Infineon Super SO8, NXP LFPAK (SOT669), Renesas WPAK(3F) / LFPAK, Fairchild Power 56, APEC PMPAK 5 × 6, MagnaChip PowerDFN56, ROHM HSOP8, UBIQ PRPAK56, NIKO−SEM PDFN 5 × 6, NEC 8-pin HVSON. Datasheets: https://www.onsemi.com/pub/Collateral/AND9137-D.PDF, https://assets.nexperia.com/documents/leaflet/75016838.pdf

Pads
5
SMD
7.3×5.8
Boards
9

ESP32-S3-WROOM-1

FP—

espressif-Espressif

ESP32-S3-WROOM-1 is a powerful, generic Wi-Fi + Bluetooth LE MCU modules that have Dual core CPU , a rich set of peripherals, provides acceleration for neural network computing and signal processing workloads. They are an ideal choice for a wide variety of application scenarios related to AI + Internet of Things (AIoT), such as wake word detection and speech commands recognition , face detection and recognition, smart home, smart appliance, smart control panel, smart speaker etc.

Pads
41
SMD
19.6×26.6
Boards
—

ESP32-S3-WROOM-1U

FP—

espressif-Espressif

ESP32-S3-WROOM-1 is a powerful, generic Wi-Fi + Bluetooth LE MCU modules that have Dual core CPU , a rich set of peripherals, provides acceleration for neural network computing and signal processing workloads. They are an ideal choice for a wide variety of application scenarios related to AI + Internet of Things (AIoT), such as wake word detection and speech commands recognition , face detection and recognition, smart home, smart appliance, smart control panel, smart speaker etc.

Pads
41
SMD
19.6×20.5
Boards
—

ESP32-S3-WROOM-2

FP—

espressif-Espressif

ESP32-S3-WROOM-2 is a powerful, generic Wi-Fi + Bluetooth LE MCU modules that have Dual core CPU , a rich set of peripherals, provides acceleration for neural network computing and signal processing workloads. They are an ideal choice for a wide variety of application scenarios related to AI + Internet of Things (AIoT), such as wake word detection and speech commands recognition , face detection and recognition, smart home, smart appliance, smart control panel, smart speaker etc.

Pads
41
SMD
19.6×26.6
Boards
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