#python #fast #gui #drag_and_drop #python_script #python3 #gui_application #automatic #tkinter #easy_to_use #easy #figma #tkinter_graphic_interface #tkinter_widgets #tkinter_gui #tkinter_python #tkinter_designer

https://github.com/ParthJadhav/Tkinter-Designer

#python #automatic_speech_recognition #docker #openai_whisper #speech_recognition #speech_to_text

https://github.com/ahmetoner/whisper-asr-webservice

#typescript #admin_dashboard #admin_ui #airtable #airtable_alternative #automatic_api #hacktoberfest #low_code #mariadb #mysql #no_code #no_code_database #no_code_platform #postgresql #rest_api #restful_api #spreadsheet #sqlite #sqlserver #swagger

NocoDB is a free and open-source alternative to Airtable, making it easy to build databases online. It offers a rich spreadsheet interface with features like sorting, filtering, and multiple view types. You can share bases or views publicly or privately and control access with roles. NocoDB also has an app store for workflow automations and supports programmatic access through REST APIs and SDKs. It's easy to install using Docker or a single command auto-install script, and it's available in various languages. This tool helps you manage data efficiently without vendor lock-in, making it a powerful resource for any internet business looking to democratize access to database tools.

https://github.com/nocodb/nocodb

#haskell #api #automatic_api #database #haskell #http #pg #pgsql #postgres #postgresql #postgrest #rest #server #sql

PostgREST is a tool that turns your PostgreSQL database into a RESTful API quickly and efficiently. It provides a fast, standards-compliant API without you having to write it from scratch. Here are the key benefits It offers subsecond response times and can handle up to 2000 requests per second, even on a free Heroku tier.
- **Security** It generates self-documenting APIs using OpenAPI standards and ensures data integrity by enforcing database constraints.
- **Performance**: Written in Haskell, it uses efficient database connections and lightweight threads for high performance.

Overall, PostgREST makes creating and managing APIs easier, faster, and more secure.

https://github.com/PostgREST/postgrest

#go #acme #automatic_https #caddy #caddyfile #go #golang #http #http_server #http3 #https #privacy #reverse_proxy #security #tls #web_server

Caddy is a powerful server platform that makes it easy to set up and manage websites with automatic HTTPS. It uses TLS by default, which means your site is always secure. Caddy is easy to configure using a simple file called the Caddyfile or JSON, and it supports multiple protocols like HTTP/1.1, HTTP/2, and HTTP/3. It's highly extensible, meaning you can add features without making the server bulky. Caddy is production-ready, having served trillions of requests and managed millions of TLS certificates. This makes it reliable and scalable for hundreds of thousands of sites. Using Caddy benefits you by providing automatic security, ease of use, and high performance, making your website more secure and efficient.

https://github.com/caddyserver/caddy

#python #asr #automatic_speech_recognition #conformer #e2e_models #production_ready #pytorch #speech_recognition #transformer #whisper

WeNet is a powerful tool for speech recognition that helps turn spoken words into text. It's designed to be easy to use and works well in real-world situations, making it great for businesses and developers. WeNet provides accurate results on many public datasets and is lightweight, meaning it doesn't require a lot of resources to run. This makes it beneficial for users who need reliable speech-to-text functionality without complex setup or maintenance.

https://github.com/wenet-e2e/wenet

#cplusplus #automatic_differentiation #large_language_models #machine_learning #tensor_algebra

GGML is a lightweight, efficient tensor library written in C that helps you run large machine learning models on everyday hardware like laptops, phones, and even Raspberry Pi. It supports integer quantization (reducing model size and speeding up processing), automatic differentiation, and works across many platforms without needing extra software. GGML uses zero memory allocation during runtime, which improves performance and is great for edge devices with limited resources. You can build and run models easily, including GPT-2, and it supports CUDA, Android, and other hardware. This means you can use advanced AI models faster and cheaper on your existing devices.

https://github.com/ggml-org/ggml