Valiton Technology Radar

Languages & Frameworks

Adopt

• 1. Cube.js

  Cube.js is a platform for building analytical web applications that leverage an organization's existing database. It works with structured data sources, enabling powerful tools for transforming and pre-aggregating data. The platform is highly flexible, allowing organizations to easily integrate it into existing applications and platforms. We recommend leveraging Cube.js, as it provides a simple yet powerful way to build scalable analytical applications that can generate insights quickly and efficiently.

• 2. Doctrine

  Our choice for object-relational mapping (ORM) library for PHP is Doctrine. It provides a powerful and flexible solution to map object-oriented code to a relational database. Its high degree of flexibility allows for easy integration with existing applications and platforms. With Doctrine, managing data and integrating with databases is reliable and efficient.

• 3. Eslint

  For static code analysis, identifying and fixing errors, and maintaining consistent coding standards, we recommend Eslint. It is a powerful tool that ensures high-quality code, making it easy to detect issues before they become problems. Eslint is highly customizable and can be used with any JavaScript project, making it an ideal choice for developers looking for a reliable and efficient way to maintain code quality.

• 4. FastAPI

  FastAPI is a high-performance Python web framework for building APIs quickly and efficiently. It offers a set of tools for creating scalable APIs that are easy to learn and use. FastAPI's out-of-the-box support for asynchronous programming makes it a great choice for building real-time applications. With FastAPI, building APIs that can handle high traffic loads is simple and efficient.

• 5. Gatsby.js

  For building fast and efficient websites that are tailored to specific needs, we recommend Gatsby.js. It provides a modern web framework that is highly modular and customizable, making it a great choice for developers looking for flexibility. Based on React and GraphQL, Gatsby.js is easy to integrate with existing applications and platforms. With Gatsby.js, building modern, scalable websites is reliable and efficient.

• 6. Huggingface Transformers

  Huggingface Transformers is an open-source library for natural language processing (NLP). It offers a wide range of pre-trained models and tools for analyzing and processing text data, making it easy to generate insights and predictions. Huggingface Transformers is easy to integrate with existing applications and platforms, providing a simple and efficient way to build NLP applications.

• 7. Jest

  For testing React applications, we recommend Jest. It is a JavaScript testing framework that provides a reliable and efficient way to test code, ensuring high-quality code and proper functioning of React applications. Jest is easy to learn and use, making it an ideal choice for developers who are new to testing frameworks.

• 8. LangChain

  LangChain is an advanced framework that empowers the development of applications powered by Large Language Models (LLMs). It seamlessly supports renowned LLMs such as ChatGPT, Vertex, Cohere, aleph alpha, and many others. With LangChain, developers can leverage a variety of reusable components, including prompt templates, Chat Histories Memory, and tools for incorporating results from vector searches and external sources like Google, Wikipedia, and Wolfram into prompts. These versatile components and tools can be effortlessly chained together to orchestrate the LLM pipeline, all through intuitive and standardized interfaces.

• 9. Next.js

  Next.js is flexible JavaScript framework for creating scalable applications. It enables server-side rendering and provides an intuitive page-based routing system, making it easy to create complex, rich web experiences. Next.js is modular, allowing organizations to quickly and easily integrate custom modules, including APIs, libraries, and plugins. Its powerful development tools support popular databases, allowing for faster iteration and deployment. With Next.js, building dynamic, feature-rich applications is simple and efficient.

• 10. Pandas

  Pandas is a Python library used for data manipulation and analysis. It provides data structures for efficiently storing and manipulating large data sets, as well as tools for data cleaning, merging, and filtering. Pandas is widely used in data science and machine learning projects due to its flexibility and ease of use. We recommend using Pandas, as it simplifies and accelerates data analysis tasks.

• 11. PyTorch

  PyTorch is an open-source machine learning library for efficient computation and development of deep learning models. It is used for a wide range of tasks, from training models to producing complex neural networks. PyTorch's flexible architecture makes it easy to integrate with existing applications and platforms. It also has excellent support for GPUs, enabling organizations to take advantage of hardware acceleration for model training. We recommend leveraging PyTorch, as it provides a powerful, reliable, and efficient way to develop and train deep learning models.

• 12. React

  React is a popular JavaScript library for building user interfaces. It provides a component-based architecture, making it easy to create reusable UI elements that can be used across projects. React also supports server-side rendering and has excellent performance and scalability, making it ideal for large-scale projects. We suggest using React, as it simplifies UI development and provides a flexible and scalable foundation for web applications.

• 13. Sass

  Sass is a CSS preprocessor that allows developers to write more efficient and maintainable CSS code. It provides a range of features, such as variables, mixins, and nesting, that make it easier to write and organize CSS. Sass also includes powerful features for generating CSS, such as functions and control structures, enabling developers to create more flexible and reusable styles. We recommend using Sass, as it simplifies CSS development and improves code organization and maintainability.

• 14. Serverless Framework

  We use the serverless framework pretty much everywhere we deploy AWS Lambda, for example. We also try to stay as provider independent as possible in the code.

• 15. spacy

  Spacy is a free, open-source library for advanced natural language processing in Python. It's fast and efficient, with high accuracy rates. We use it extensively in our data projects, such as text classification and entity recognition.

• 16. Symfony

  Symfony is a popular PHP web application framework used for building complex, high-performance web applications. It's been around for over a decade and has a strong community of developers supporting it. We've used it in several projects and find it reliable and easy to work with.

• 17. Tailwind CSS

  Tailwind CSS follows the utility-first approach of Atomic Design Methodology. Unlike heavyweight frameworks like Bootstrap and Bulma, Tailwind CSS classes with built-in design system can be flexibly combined making it easy to create custom designs. Tailwind works with any JavaScript framework or even plain HTML, often reduces the amount of CSS required by a fraction and produces very small stylesheets through CSS purging (often < 10KB).

• 18. Vue.js

  Vue.js is a progressive JavaScript framework for building user interfaces. It's lightweight and easy to integrate into existing projects. We've used it in several projects and found it to be a great choice for building dynamic, responsive user interfaces.

Trial

• 48. Astro

  Astro is a JavaScript framework for creating web applications. Astro creates small �islands� to make your page interactive without using JavaScript everywhere. That is, it eliminates unnecessary JavaScript. For islands you can use your favorite library such as React or Vue. For the rest Astro uses purely HTML. This means that if you know HTML, you can use Astro.

• 49. Headless CMS

  Headless CMS systems provide an alternative to traditional CMS platforms, allowing organizations to manage, store, and deliver digital content more flexibly and efficiently. They decouple the backend content repository from the frontend user experience, enabling custom publishing and integrations with software languages and content partners. We would like to evaluate multiple headless CMS tools such as Strapi to identify the right platform for our organization.

• 50. Polars

  Polars is a DataFrame library for Python and also Rust. It is one of the fastest Panda alternatives by parallelize processing and using all available cpu cores. It shines with impressive benchmarks in performance and memory usage. It has a mature feature set, but lagging compared to panda, eg plotting graphs. Therefore, it very good alternative for automating data pipelines where processing speed is of the essence.

• 51. Streamlit

  Streamlit is python framework to build simple web apps and UIs with only few lines of code. We use it for rapid prototyping and the creation of non-production applications for PoCs and demonstrators.

Assess

• 63. Openobserve

  OpenObserve is a cloud native observability platform built specifically for logs, metrics, traces and analytics designed to work at petabyte scale.

Hold

• 67. gensim

  Gensim is a framework for topic modeling and natural language processing (NLP). It is a Python library that provides a reliable and efficient way to extract insights and patterns from large text datasets. However, we put gensim to hold because it stopped active development and went to stable maintenance mode. In addition to that, most of the provided models and algorithms are not state-of-the-art any longer.