# 15+ AI Tools For Developers (December 2023)

In the rapidly evolving world of technology, Artificial Intelligence (AI) has become a crucial tool for developers. Here are the top 15+ AI tools that developers should consider as of December 2023.

1. OpenAI Codex

OpenAI Codex is a powerful AI tool that can generate code in several programming languages. It’s a great tool for developers looking to automate coding tasks.

2. Google’s TensorFlow

TensorFlow is an open-source library for numerical computation and large-scale machine learning. It’s widely used in deep learning applications.

3. Microsoft’s Azure Machine Learning

Azure Machine Learning is a cloud-based platform for building, training, and deploying machine learning models. It offers a wide range of tools and services for developers.

4. IBM Watson

IBM Watson offers a variety of AI services that allow developers to build, train, and deploy AI models on any cloud.

5. H2O.ai

H2O.ai offers an open-source machine learning platform that makes it easy to build smart applications.

6. DataRobot

DataRobot provides an automated machine learning platform for data scientists of all skill levels to build and deploy accurate predictive models.

7. RapidMiner

RapidMiner is a data science platform that provides an integrated environment for data preparation, machine learning, deep learning, and predictive model deployment.

8. Amazon SageMaker

Amazon SageMaker is a fully managed service that provides developers and data scientists with the ability to build, train, and deploy machine learning models quickly.

9. ChatGPT

ChatGPT is a language model developed by OpenAI. It’s a great tool for developers looking to integrate conversational AI into their applications.

10. PyTorch

PyTorch is an open-source machine learning library based on the Torch library. It’s used for applications such as computer vision and natural language processing.

11. Keras

Keras is a high-level neural networks API, written in Python and capable of running on top of TensorFlow, CNTK, or Theano.

12. Pandas

Pandas is a software library written for the Python programming language for data manipulation and analysis.

13. Scikit-learn

Scikit-learn is a free software machine learning library for the Python programming language.

14. NLTK

The Natural Language Toolkit, or NLTK, is a library for symbolic and statistical natural language processing for English written in the Python programming language.

15. Spacy

Spacy is an open-source software library for advanced natural language processing, written in the programming languages Python and Cython.

Conclusion

These are just a few of the many AI tools available for developers. As AI continues to evolve, so too will the tools that developers have at their disposal.