Top 7 Open Source AI Tools for Developers

Top 7 Open Source AI Tools for Developers

Artificial Intelligence is an ever expanding bubble to a great extent. One will find its presence in natural language generation, speech recognition, virtual agents, machine learning platforms, AI-optimized hardware, deep learning platforms, decision management, biometrics, robotic process automation and text analytics and NLP.

If you are a freelance developer, or a beginner, and you’re looking for open-source artificial intelligence tools as they are often free to use and customize, then pay attention. From here on below, you will find a well researched set of 7 free and open-source artificial intelligence software.


TensorFlow is an open-source artificial intelligence software that helps you develop and train Machine learning models. It presents the library for high-performance numerical computation. Across a variety of platforms (CPUs, GPUs, TPUs) this free AI software allows easy deployment of computation due to its flexible architecture.

With this software, you can accomplish the power of data in your business by building advanced predictive modeling applications. This software makes use of data flow graphs to build models. In perception, understanding, prediction, creation, and classification, you can make use of this software.

You will find the primary use of this software in voice/sound recognition, text-based applications, image recognition, video detection, and time-series data.The time series algorithms of TensorFlow are mainly used in the field of finance, accounting, and enterprise /resource planning.

Several companies, like Dropbox, eBay, Twitter, Uber, and Intel, make use of this application. Behind several Google tools, this AI tool works as the engine. It contains Google photos and the speech recognition found in the Google app. This software works on various platforms like desktops, clusters, mobile, and edge devices, CPUs, GPUs, and TPUs due to its easy-to-use interface and architecture.

Key features:

  • Predictive Analytics 
  • Adaptive & Speech Recognition
  • Data Ingestion
  • Intuitive high-level APIs   
  • Easy model building
  • Robust ML production
  • Transfer Learning
  • Multi-languages
  • Workflow Automation

IBM Watson

IBM Watson is a free, open-source AI software that provides authority to the companies to speed up the research and discovery, calculate disruptions, and improve interactions. Several businesses are taking advantage of this software to study their data, gather intellectual property, insights, and predict their future performance easily. By using cloud-based IBM platform, organizations can make more informed decisions.

It is designed for enterprises from various sectors like IoT, consumer engagement, education, healthcare, energy, finance, work, and transportation. By using advanced AI and machine learning, enterprises can discover new opportunities and update themselves about possible regulations and risks. This app will allow you to increase your productivity.

Key features:

  • Digital Assistants
  • Predictive Analytics
  • Fast performance
  • Speech recognition & multiple languages
  • Unified Modeling Language (UML)
  • Adaptive & Chatbot
  • Virtual Personal Assistant (VPA)
  • Sophisticated algorithms
  • Forecasting
  • Advanced analytics


Scikit-learn is the free artificial intelligence tool that provides a variety of supervised and unsupervised learning algorithms through a consistent interface. It is considered a simple and efficient tool for data mining and data analysis. In various contexts, this free open source AI software is reusable and accessible to everybody. You can consider this app if you want to bring machine learning into a production system. 

This software serves as a convenient platform that can predict consumer behavior. Around the world, Scikit-learn is extensively used by commercial and research organizations. The business entities and research organizations find the module of this software easy to use as it allows performing the multitude of processes.

Key features:

  • Adaptive & data ingestion
  • Clustering & Classification
  • Preprocessing
  • Model Selection
  • Dimensionality reduction
  • Regression
  • Cross-Validation
  • Datasets & digital Assistants
  • Dimensionality Reduction
  • Manifold Learning
  • Machine learning
  • Process/Workflow Automation 
  • Virtual Personal Assistant (VPA)


If you are looking for a free artificial intelligence tool, then Accord.NET is apt for your requirement. This app is a .NET machine learning framework that combines with audio and image processing libraries. This open-source AI development tool offers statistical analysis, image processing, machine learning, and mathematics and computer vision.

For creating production-grade computer vision, audition of computer, signal dispensation, statistics applications, and commercial use, you will find this software a complete framework. The structure of this software is divided into a library that includes scientific computing along with signal and image processing.

Key features:

  • Data Ingestion
  • Adaptive 
  • Support Vector Machines
  • Deep learning
  • Camshift object tracking
  • Haar-feature image recognition
  • Decision Trees along with automatic code generation
  • Hypothesis Testing
  • Statistical Analysis
  • Hidden and conditional random fields
  • Standard & multinomial logistic regression
  • Second-order neural network learning algorithms
  • Digital Assistants & Multi languages
  • Process/Workflow Automation
  • Speech recognition


This free, open-source artificial intelligence tool is a scientific computing framework with ample support for machine learning algorithms that places GPUs first.Torch believes in having complete flexibility and speed in building scientific algorithms. It makes the process enormously simple.

In machine learning, computer vision, parallel processing, signal processing, networking, image, video, audio, you will find that this free AI software app comes with a vast ecosystem of community-driven packages. 

Consistently, this app is evolving and is used within Facebook, Twitter, NYU, Purdue, numerous research labs, and companies. It is swift and holds massive data along with new dynamic scoring.

Key features:

  • Chatbot & speech recognition 
  • Adaptive & Digital Assistants
  • N-dimensional array
  • Routines for indexing, slicing transposing
  • GPU support
  • Fixed with ports to iOS and Android backends
  • Neural network
  • Energy-based models
  • Predictive Analytics
  • Machine learning