Footprints

52 footprints

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.

52 footprints · page 2 of 3

ESP32-PICO-MINI-02

FP—

espressif-Espressif

ESP32-PICO-MINI-02: https://www.espressif.com/sites/default/files/documentation/esp32-pico-mini-02_datasheet_en.pdf

Pads
53
SMD
13.6×17.0
Boards
—

ESP32-PICO-MINI-02_HandSoldering

FP—

espressif-Espressif

ESP32-PICO-MINI-02: https://www.espressif.com/sites/default/files/documentation/esp32-pico-mini-02_datasheet_en.pdf

Pads
53
SMD
14.8×17.9
Boards
—

ESP32-PICO-MINI-02U

FP—

espressif-Espressif

ESP32-PICO-MINI-02U: https://www.espressif.com/sites/default/files/documentation/esp32-pico-mini-02_datasheet_en.pdf

Pads
53
SMD
13.6×11.6
Boards
—

ESP32-S2-DevKitC-1

FP—

espressif-Espressif

ESP32-S2 general-purpose development board, based on ESP32-S2-SOLO or ESP32-S2-SOLO-U,It has all the ESP32-S2 pins exposed and is easy to connect and use.

Pads
44
THT
25.4×63.4
Boards
—

ESP32-S2-DevKitM

FP—

espressif-Espressif

ESP32-S2 general-purpose development board

Pads
42
THT
25.4×52.9
Boards
—

ESP32-S2-MINI-1

FP—

espressif-Espressif

ESP32-S2-MINI-1 and ESP32-S2-MINI-1U: https://www.espressif.com/sites/default/files/documentation/esp32-s2-mini-1_esp32-s2-mini-1u_datasheet_en.pdf

Pads
65
SMD
16.0×20.6
Boards
—

ESP32-S2-MINI-1U

FP—

espressif-Espressif

ESP32-S2-MINI-1 and ESP32-S2-MINI-1U: https://www.espressif.com/sites/default/files/documentation/esp32-s2-mini-1_esp32-s2-mini-1u_datasheet_en.pdf

Pads
65
SMD
16.0×16.0
Boards
—

ESP32-S2-Saola-1

FP—

espressif-Espressif

Espressif ESP32-S2-Saola-1 Development Kit: https://docs.espressif.com/projects/esp-idf/en/latest/esp32s2/hw-reference/esp32s2/user-guide-saola-1-v1.2.html

Pads
42
THT
27.9×52.5
Boards
—

ESP32-S2-SOLO

FP—

espressif-Espressif

ESP32-S2-SOLO https://www.espressif.com/sites/default/files/documentation/esp32-s2-solo_esp32-s2-solo-u_datasheet_en.pdf

Pads
41
SMD
19.6×26.6
Boards
—

ESP32-S2-SOLO-2U

FP—

espressif-Espressif

ESP32-S2-SOLO-2U https://www.espressif.com/sites/default/files/documentation/esp32-s2-solo-2_esp32-s2-solo-2u_datasheet_en.pdf

Pads
41
SMD
19.6×20.4
Boards
—

ESP32-S2-WROOM

FP—

espressif-Espressif

ESP32-S2-WROOM and ESP32-S2-WROOM-I: https://www.espressif.com/sites/default/files/documentation/esp32-s2-wroom_esp32-s2-wroom-i_datasheet_en.pdf

Pads
43
SMD
19.6×32.2
Boards
—

ESP32-S2-WROVER

FP—

espressif-Espressif

ESP32-S2-WROVER and ESP32-S2-WROVER-I: https://www.espressif.com/sites/default/files/documentation/esp32-s2-wrover_esp32-s2-wrover-i_datasheet_en.pdf

Pads
43
SMD
19.6×32.0
Boards
—

ESP32-S3-DevKitC

FP—

espressif-Espressif

ESP32-S3 general-purpose development board, based on ESP32-S3-WROOM-1 or ESP32-S3-WROOM-1U,It has all the ESP32-S3 pins exposed and is easy to connect and use.

Pads
44
THT
25.4×63.4
Boards
—

ESP32-S3-MINI-1

FP—

espressif-Espressif

ESP32-S3-MINI-1

Pads
65
SMD
16.0×21.1
Boards
—

ESP32-S3-MINI-1U

FP—

espressif-Espressif

ESP32-S3-MINI-1 and ESP32-S3-MINI-1U

Pads
65
SMD
16.0×16.0
Boards
—

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
—

ESP32-S31-WROOM-3

FP—

espressif-Espressif

Built-in ESP32-S31 series chip, featuring a RISC-V 32-bit dual-core microprocessor, suitable for embedded systems, smart home, wearable electronic devices, and other IoT scenarios

Pads
99
SMD
22.5×30.5
Boards
—

ESP32-WROOM-32E

FP—

espressif-Espressif

ESP32-WROOM-32E and ESP32-WROOM-32UE: https://www.espressif.com/sites/default/files/documentation/esp32-wroom-32e_esp32-wroom-32ue_datasheet_en.pdf

Pads
39
SMD
19.6×26.6
Boards
—

ESP32-WROOM-32UE

FP—

espressif-Espressif

ESP32-WROOM-32E and ESP32-WROOM-32UE: https://www.espressif.com/sites/default/files/documentation/esp32-wroom-32e_esp32-wroom-32ue_datasheet_en.pdf

Pads
39
SMD
19.6×20.8
Boards
—

ESP32-WROOM-DA

FP—

espressif-Espressif

ESP32-WROOM-DA: https://www.espressif.com/sites/default/files/documentation/esp32-wroom-da_datasheet_en.pdf

Pads
41
SMD
37.0×36.0
Boards
—

ESP32-WROVER-E

FP—

espressif-Espressif

ESP32-WROVER-E: https://www.espressif.com/sites/default/files/documentation/esp32-wroom-32e_esp32-wroom-32ue_datasheet_en.pdf

Pads
39
SMD
20.0×32.5
Boards
—

ESP32-WROVER-E_ThermalVias

FP—

espressif-Espressif

ESP32-WROVER-E: https://www.espressif.com/sites/default/files/documentation/esp32-wroom-32e_esp32-wroom-32ue_datasheet_en.pdf

Pads
39
SMD
20.0×32.5
Boards
—