Top Programming Languages for AI Development in 2025

This page summarizes the projects mentioned and recommended in the original post on dev.to

Stream - Scalable APIs for Chat, Feeds, Moderation, & Video.
Stream helps developers build engaging apps that scale to millions with performant and flexible Chat, Feeds, Moderation, and Video APIs and SDKs powered by a global edge network and enterprise-grade infrastructure.
getstream.io
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InfluxDB – Built for High-Performance Time Series Workloads
InfluxDB 3 OSS is now GA. Transform, enrich, and act on time series data directly in the database. Automate critical tasks and eliminate the need to move data externally. Download now.
www.influxdata.com
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  1. TypeScript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

    TypeScript & JavaScript: Web AI

  2. Stream

    Stream - Scalable APIs for Chat, Feeds, Moderation, & Video. Stream helps developers build engaging apps that scale to millions with performant and flexible Chat, Feeds, Moderation, and Video APIs and SDKs powered by a global edge network and enterprise-grade infrastructure.

    Stream logo
  3. examples

    TensorFlow examples (by tensorflow)

    Python's status as the preferred language for artificial intelligence has been solidified by its ease of use, large library (such as TensorFlow, PyTorch, and scikit-learn), and active community.

  4. CPython

    The Python programming language

    Python: The Superpower of AI

  5. Pytorch

    Tensors and Dynamic neural networks in Python with strong GPU acceleration

    With the quick emergence of new frameworks, libraries, and tools, the area of artificial intelligence is always changing. Programming language selection. We're not only discussing current trends; we're also anticipating what AI will require in 2025 and beyond.

  6. Pandas

    Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

    Libraries for data science and deep learning that are always changing

  7. OpenCV

    Open Source Computer Vision Library

    Ideal For: Computer vision, NLP, deep learning, and machine learning

  8. Keras

    Deep Learning for humans

    The unchallenged leader in AI development is still Python. and Keras, and robust community support.

  9. InfluxDB

    InfluxDB – Built for High-Performance Time Series Workloads. InfluxDB 3 OSS is now GA. Transform, enrich, and act on time series data directly in the database. Automate critical tasks and eliminate the need to move data externally. Download now.

    InfluxDB logo
  10. julia

    The Julia Programming Language

    Julia: Exceptional Numerical Processing

  11. google-cloud-cpp

    C++ Client Libraries for Google Cloud Services

    Connectivity to edge devices and cloud platforms

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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Did you know that Python is
the 2nd most popular programming language
based on number of references?