Curated development tools
List of selected libraries, frameworks, runtimes, …
Depending on your use case, the right selection of your development environment is key to speed up the delivery.
For all cases there are a bunch of samples in the yafra repositories. They are documented on other blog posts.
Recommended development libraries
A set of useful libraries to create server, frontends or API’s.
| Framework | Link | Language | Usage | Overview |
|---|---|---|---|---|
| FastAPI | https://fastapi.tiangolo.com | Python | Backend API | RESTful API, GraphQL, ORM SQLAlchemy, .. |
| .NET Core | https://dotnet.microsoft.com | C# | Backend API | RESTful API, ORM |
| PySide | https://doc.qt.io/qtforpython-6/index.html | Python | Fat Clients | MacOS, Linux, Windows based on Qt |
| ElectronJS | https://www.electronjs.org | JS / Typescript | Fat Clients | MacOS, Linux, Winodws based on HTML/CSS/JS |
| Astro | https://astro.build | Javascript | Static Webseite | Lots of templates and adding, can mix markdown |
| Angular | https://angular.dev | Typescript | SPA | Enterprise UI Framework |
| Alpine.js | https://alpinejs.dev | Typescript | SPA | Simple UI |
| Rich | https://github.com/Textualize/rich | Python | CLI | ASCII UI |
| Arduino | https://github.com/arduino/arduino-cli | C/C++ | Board | Programming Arduino Boards / M5 |
| NRF | https://github.com/NordicSemiconductor | C | Board | Nordic Semiconductor Boards |
Recommended databases
SQLlite is preferred for local and simple setups. You do not even need a server :-) Large data storage is done on cloud like Azure Datalake. Run the databases within dockers during development or on the cloud.
| Database | Link | Language | Usage |
|---|---|---|---|
| MariaDB | https://mariadb.org | all | Transactional data and queries, SQL |
| SQLlite | https://www.sqlite.org | all | Small and in-memory database, SQL |
| MongoDB | https://www.mongodb.com | all | Document oriented, transactions, NO-SQL |
| Redis | https://redis.io | all | In-Memory, speed in mind, NO-SQL |
| Azure Datalake | https://azure.microsoft.com/en-us/solutions/data-lake | all | Lakehouse storage |
Recommended AI frameworks
In order to use the latest llm’s from https://huggingface.co/ use one of these AI toolsets to test them but as well to integrate them into your code.
| AI toolset | Link | Language | Usage |
|---|---|---|---|
| LM Studio | https://lmstudio.ai | all | Run https://huggingface.co models locally, emulates an OpenAI API |
| Ollma | https://ollama.com | Python | Run LLAMA and other models locally |
Recommended messaging / IoT
To store sensor or machine data the MQTT protocol is preferred.
| Cloud Service | Link | Language | Usage |
|---|---|---|---|
| Azure IoT | https://azure.microsoft.com/en-us/products/iot-hub | all | IoT with MQTT - cloud based |
| Apache ActiveMQ | https://activemq.apache.org | all | MQTT, AMQP, STOMP - on premises hosting |
Recommended docker / container base images
Run local https://www.docker.com/ to create a cleaner development environment or host them within Kubernetes / Cloud facilities.
| Image | Link | Usage |
|---|---|---|
| Slim Debian | https://hub.docker.com/_/debian | slim debian linux, based on standard libc |
| Alpine Linux | https://hub.docker.com/_/alpine | linux based on musl libc, very small and secure |