We write your reusable computer vision tools. 💜
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Updated
Jan 27, 2025 - Python
Low code is a software development approach that uses graphical development environments to simplify the process of building applications. Low-code development platforms or low-code platforms are a category of software development platforms that are designed to enable rapid application development. Rather than requiring developers to write code, low-code platforms provide a graphical user interface (GUI) with which users can configure and customize applications. Low-code platforms may also provide a visual programming language that allows users to create applications without writing code.
We write your reusable computer vision tools. 💜
Low code web framework for real world applications, in Python and Javascript
The open source Tines alternative for security and IT engineers. Built on a simple YAML-based DSL for integrations and response-as-code.
The official repository is hosted on https://gitlab.com/bramw/baserow. Baserow is an open source no-code database tool and Airtable alternative.
Obsei is a low code AI powered automation tool. It can be used in various business flows like social listening, AI based alerting, brand image analysis, comparative study and more .
ESB, SOA, REST, APIs and Cloud Integrations in Python
A project providing a Graphic Walker Pane for use with HoloViz Panel.
Sample AI Apps built with H2O Wave.
轻量级低代码自动化测试平台,一个平台解决API/WebUI/AppUI测试,本项目为引擎端
A Python-based low-modeling low-code platform for smart software
⚡ Instantly turn your python function into web app.
List of open source low-code tools in GitHub
A no-code development framework—Let AI do the coding for you 🦾
JUDO Community Aggragator Repository
A distributed, low-code, end-to-end data collection and analysis tool for data folks. Take the pain out of data collection from your pipeline!
A simple library designed for rapid bot and ai scraper development using Selenium, the POM (Page Object Model) design and llm data extraction.
An extension to simple-rule-engine that illustrates how rules can be declaratively specified (json etc.) and de-serialized into simple-rule-engine constructs.
Python package for low-code/conversational clinical data science