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OrmFactory is a model-first database development tool built around a fully customizable workflow. The database model serves as the source of truth for schema design, comparison, migrations, synchronization, and custom ORM code generation. Designed as an everyday developer tool, OrmFactory also provides powerful data management and streaming access to large datasets. Models are version-control friendly and can be used to generate documentation and SVG diagrams from the command line.
Gitpod
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OrmFactory's answer:
OrmFactory is built with C# and .NET 8, using Avalonia UI for its cross-platform desktop interface. It runs natively on Windows, macOS, and Linux, with x64 and ARM64 builds. Native AOT is used for the desktop application, with performance and low resource usage being important design goals.
OrmFactory's answer:
There aren't any big-name customers to brag about yet. OrmFactory is currently used by individual developers and engineering teams, including developers working in large engineering organizations. I don't claim a company as a customer simply because one of its developers uses OrmFactory.
OrmFactory's answer:
OrmFactory exists because I wanted to build the database tool I actually wanted to use. I make tools because that's what I know how to do โ I wrote my first one for the ZX Spectrum back in 1997.
Over the years, I got tired of products being shaped by management decisions, marketing requirements, and feature checklists rather than by the people who actually use them. With OrmFactory, I decided to do it differently: build the tool the way I believe it should work, keep the underlying philosophy intact, and let developers decide whether that approach works for them.
OrmFactory's answer:
You don't have to choose OrmFactory. Different tools suit different workflows. OrmFactory is for developers who want a model-first approach, a fully customizable workflow, and a database tool they can use every day, from designing and evolving schemas to working with actual data and generating documentation.
OrmFactory's answer:
OrmFactory is a model-first database tool with a fully customizable workflow. The model is the source of truth, while schema design, comparison, migrations, synchronization, and ORM generation can be combined and adapted to fit your way of working.
It is designed to be a developerโs everyday database tool, making working with data a first-class part of the product alongside modeling and schema management.
Because the model is part of your everyday workflow, it can also serve as a source for documentation and visual artifacts, with diagrams available as generated SVGs for use in documentation, reviews, and other project materials.
OrmFactory's answer:
You shouldn't choose OrmFactory because it claims to be better than everything else. Choose it if its model-first approach and flexible workflow fit the way you work. OrmFactory is designed as an everyday developer tool rather than a specialized database designer or administration console, combining model management, schema evolution, ORM generation, and hands-on data work in one place.
Based on our record, Gitpod seems to be more popular. It has been mentiond 76 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
# Example of setting up a Gitpod workspace # Open your repository in Gitpod with one click Https://gitpod.io/#https://github.com/your-repo. - Source: dev.to / over 1 year ago
For my part, I often develop on cloud environments. I was lucky to come across Gitpod in 2019 and I have been using it everyday since, whether for Zenika projects, personal projects or open source projects. - Source: dev.to / about 2 years ago
We will use VScode workspace running on Gitpod as an IDE, you can use VScode on your local machine but you need to skip steps or change some details related to Gitpod. We will begin by setting up the workspace, preparing the requirements, and installing the dependencies. - Source: dev.to / almost 2 years ago
Next, we need to install Docker by downloading it from the official website if you haven't already. Alternatively, use a free online platform like Gitpod or a VPS to run a Docker instance, if possible. Otherwise, install it on your local computer. - Source: dev.to / almost 2 years ago
If you prefer instead to have a look at a fully working & effect-native app we've prepared a demo cli app that you can directly open in Gitpod or locally (if you prefer), you'll need to provide an OpenAI API Key in order to integrate with the OpenAI API. The demo app allows you to train a model via embeddings from a set of files and then allows you to prompt the trained model with questions. - Source: dev.to / over 2 years ago
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