With up to 25k MAUs and unlimited Okta connections, our Free Plan lets you focus on what you do best—building great apps.
You asked, we delivered! Auth0 is excited to expand our Free and Paid plans to include more options so you can focus on building, deploying, and scaling applications without having to worry about your security. Auth0 now, thank yourself later.
Try free now
Go from Data Warehouse to Data and AI platform with BigQuery
Build, train, and run ML models with simple SQL. Automate data prep, analysis, and predictions with built-in AI assistance from Gemini.
BigQuery is more than a data warehouse—it's an autonomous data-to-AI platform. Use familiar SQL to train ML models, run time-series forecasts, and generate AI-powered insights with native Gemini integration. Built-in agents handle data engineering and data science workflows automatically. Get $300 in free credit, query 1 TB, and store 10 GB free monthly.
Midbar is more than just an open source password vault!
Midbar is more than just a password vault!
It's made to significantly increase the cost of unauthorized access to its your personal data.
Some tutorials:
ESP32 V4.0: https://www.instructables.com/Midbar-V40/
Raspberry Pi Pico V2.0: https://www.instructables.com/Midbar-Raspberry-Pi-Pico-Version-V20/
ESP32 V5.0: https://www.instructables.com/Midbar-V50/
STM32F401CCU6 + Arduino Uno Version V1.0: https://www.instructables.com/Midbar-STM32F401CCU6-Arduino-Uno-Version/
RTL8720DN + Arduino Uno V1.0: https://www.instructables.com/Midbar-RTL8720DN-Arduino-Uno-Version/
ESP8266 V2.0: https://www.instructables.com/Midbar-ESP8266-Version-V20/
STM32F407VET6 + Arduino Uno Version V1.0: https://www.instructables.com/Midbar-STM32F407VET6-Arduino-Uno-Version/
STM32F407VET6 Version V2.0: https://www.instructables.com/Midbar-STM32F407VET6-Version-V20/
ESP32 V6.0: https://www.instructables.com/Midbar-V60/
Teensy 4.1 V3.0: https://www.instructables.com/DIY-Hardware-Data-Vault-With-Teensy-41/
...KeyKiller CUDA pushes the limits of cryptographic key search performance by leveraging CUDA, thread-beam parallelism, and batch EC operations. The command-line version is open-source and free to use. For the paid advanced graphics version, please visit: https://gitlab.com/8891689/KeyKiller-Cuda/