Open Source Job Market Trends

Every month we send out a newsletter with the latest trends.

vLLM

50-100
Employers
+228%
Growth

A library designed for accelerated AI model inference utilizing advanced techniques for efficiency. It enhances large language models' performance on modern hardware architectures.

OpenTofu

30-60
Employers
+156%
Growth

An open-source alternative to Terraform, designed for infrastructure as code, enabling users to manage and provision cloud resources.

Linux Kernel Developer

12-24
Employers
+91%
Growth

Focused on designing and implementing the core components of the Linux operating system, ensuring robust and efficient performance. They work at the intersection of hardware and software to optimize system functionality.

Semantic Kernel

40-80
Employers
+76%
Growth

A tool for semantic search and retrieval, designed to understand and interpret natural language queries.

Zig (Software)

20-40
Employers
+69%
Growth

A general-purpose programming language designed for robustness, optimality, and maintainability.

Hugging face

400-800
Employers
+62%
Growth

A platform and library popular in the field of natural language processing, known for providing pre-trained models and easy-to-use tools for text tasks. Supports model deployment and facilitates rapid experimentation in AI research.

Supabase

70-140
Employers
+55%
Growth

An open-source backend-as-a-service platform that provides real-time APIs, authentication, and database management for web and mobile applications. It offers features like instant RESTful APIs, real-time subscriptions, and managed PostgreSQL databases, making it easy for developers to build and scale applications quickly.

Godot

60-120
Employers
+39%
Growth

An open-source game engine used for creating 2D and 3D games, known for its flexibility and ease of use.

Kyverno

15-30
Employers
+33%
Growth

An open-source Kubernetes native policy management engine designed for dynamic policy-based security and compliance. It helps automate and enforce security practices within Kubernetes clusters without requiring new language learning.