Top 10 Best Open Source Artificial Intelligence (AI) Software Tools

Top 10 Best Open Source Artificial Intelligence (AI) Software Tools. In this post, we will introduce what is Artificial Intelligence and following that there will be a list of best open source Artificial Intelligence tools.

Today, companies are moving hand in hand with the fast growing world. They are adapting cutting edge technologies to streamline their business process. Among these technologies, they highly use Artificial Intelligence (AI).

With the help of Artificial Intelligence (AI), they have learned customer behaviour and satisfaction appropriately. AI tools help in formulating user patterns and anomalies using queries. Moreover, some algorithms are pre designed to handle some of the tasks.

Therefore, seeing these benefits, adapting Artificial Intelligence software is now crucial. Below are some of the best and most used Artificial Intelligence Software that provides better business functionality. So, without further ado, let’s move forward with it.

The Top 10 Best Open Source Artificial Intelligence (AI) Software Tool are introduced below. Let’s find out.

What Is Open Source Artificial Intelligence (AI)?

Open Source Artificial Intelligence is a technology you can use for commercial and non commercial purposes. Includes multiple technologies to help product teams, enterprises, and independent app developers work effortlessly. Moreover it contains open source datasets, open source algorithms, and open source UI. In nutshell Artificial intelligence uses computers and machine learning to mimic the problem solving issues and decision making possibilities of the human mind.

Top 10 Open Source Artificial Intelligence (AI) Software Tools

According to Research, about 48 percent of enterprises use open source technology for AI/ML, and this is expected to rise by 63 percent by 2023. So, if you consider attaining an open source artificial intelligence software, you can choose one from the list below.

1. Acumos AI

First on the list of Top 10 Best Open Source Artificial Intelligence (AI) Software Tools is Acumos. Although Acumos is a new in the open source AI Software segment, it is quite popular among industry leaders like AT&T and TechMahindra. All things considered they want to carry on with the trends the tech giants like Google, Microsoft, and Apple. Since they wanted to make AI available for commercial deployment, they introduced Acumos AI, a designed studio based on Linux. With the help of this AI software, they can integrate other frameworks and develop cloud based AI apps.

Features of Acumos

  • It’s marketplace wants to discover and deploy multiple AI libraries.
  • The company is preparing a graphical tool to manage AI models.
  • Large community for developing marketplace solutions.
  • Includes onboarding support to allow interoperability.


Since its inception, has remained prevalent in the banking, insurance, marketing, healthcare and telecom industries. Tech giants like NVIDIA, Intel, IBM, and Google use this software to acquire large scale AI and ML products. Furthermore, it enables you to build models using programming languages like R and Python. Recently, the Infocomm Media Development Authority (IMDA) of Singapore accredited this company.

Features of

  • Allows you to integrate with Hadoop and Spark for modelling big data based AI.
  • You can use a web UI application effortlessly using Flow.
  • additionally includes ML algorithms libraries that provide supervised and unsupervised learning.
  • Above all it’s driverless AI aids non technical users in setting parameters, preparing data and selecting algorithms to address particular business problems.
  • Built in intelligence helps in anticipating schemas of incoming datasets.
  • Supports data ingestion across multiple sources in diverse formats.

3. Open CV

Another leading software of our Top 10 Best Open Source Artificial Intelligence (AI) Software Tools is Open CV. Basically it offers consulting services in the fields of vision and artificial intelligence. Companies using this open source software can detect and track objects with detention models less than 600 KB. You can use this solution for applications like AR clothes fitting, workout analysis, etc.

Features of Open CV

  • Best for multiple use cases, including human computer interactions, motion tracking, object detection, facial recognition, and many more.
  • Compatible with every operating system, including Android, iOS, Maemo, and BlackBerry 10.
  • As a result it is a hardware store having spatial imaging cameras.
  • Their ML libraries contain algorithms for decision tree learning, k nearest neighbor algorithm, random forest, deep neural networks, artificial neural networks, etc.
  • Computer Vision and machine learning.
  • Use cases ranges from interactive art, mines inspection and through advanced robotics.

4. PyTorch

PyTorch is another open source deep learning library that develops and trains AI project’s neural networks through Python integration. While other deep learning frameworks use static computation, it builds complex architecture using a dynamic computation approach. Certainly an ideal choice for computational graphs.

Features of PyTorch

  • It’s algorithms are efficient in computational vision and neutral language processes.
  • TorchServe powers this production ready environment for immediate model deployment.
  • As noted its native exports make Open Neural Network Exchange possible.
  • Supports all crucial public clouds for flexible development. 
  • Distributed backend architecture provides distributed training.

5. TensorFlow

TensorFlow is another open source artificial intelligence software that assists you in developing and training Machine learning models. Certainly its library provides high performance numerical computation. Moreover, due to its architectural flexibility, computational deployment becomes tremendously effortless.

TensorFlow Features

  • Has various applications, like predictive analysis, object classification, and conversational AI.
  • Supports multiple languages, like JavaScript, which seems to be rare in the open source AI space. 
  • Applications for mobiles and IoT devices called TensorFlowLite.
  • Constitutes high level APIs such as Keras that build and train ML models effortlessly. 
  • Platform agnostic ML production is available on the cloud, in the browser, and locally on the device.

6. OpenNN

OpenNN open source AI software is a library that helps implement neural networks and ML. The primary use cases it includes involve customer intelligence, industry specific analytics and predictive applications. However, it is not exclusive to computer vision and natural language processing like another open source network we have on the list.

Features of OpenNN

  • Interestingly its regression analysis models ML outputs.
  • Has a neural designer tool that simplifies building neural networks.
  • Their forecasts based on historical datasets.
  • Has a C++ based software library.

7. Tesseract OCR

Tesseract is the free Google’s free optical character recognition (OCR) engine. Evidently it converts handwritten or typed data into recognizable and editable formats. This sophisticated image pre processing pipeline lets you learn new information via its neural networks. One of the most accurate OCR engines, initially developed by Hewlett Packard.

Features of Tesseract

  • Able to find words and lines and classify characters.
  • This software was developed using C++ language and had a standard line interface.
  • Lcalizes and detects texts within an image.
  • You can install it effortlessly with precompiled binaries.
  • It has GUI overlays for application development, which includes OCRFeeder.

8. Rasa Open Source

Among other most popular Top 10 Best Open Source Artificial Intelligence (AI) Software Tools you can use is Rasa. Ideal for building conversational interfaces. Usually, the company manages monetization from its enterprise product. But, it has a powerful open source edition and a different toolset to enhance AI assistance. You can also use it for building custom ML models or its pre built model library. Additionally it provides SSO based security, service level agreements, and dedicated support.

Features of Rasa

  • Well it understands natural languages well, converts messages into structured data, and analyses intent.
  • Has an additional Rasa X Toolset for testing, new updates, and enhancements. 
  • Its ML powered dialogue management drives the assistant conversation flows based on context.
  • Has sturdy community support having more than 10,000+ forum members. 
  • It has built in integration for more than ten messaging channels.


Mycroft is an open source voice assistant software that is available for every ecosystem. Evidently it also powers various elements of the voice stack using open source AI technology. Additionally it constitutes a giant community of users, developers, and translators, who constantly work at improving AI algorithms.

Features of MyCroft

  • It is intent parsing by converting natural language into machine readable data structures.
  • Offers you the option to purchase the hardware shell containing voice assistants.
  • Works and compatible with Android, Linux, and Docker. Also used in different operating systems like macOS or Windows through a VirtualBox VM.
  • Has a modular architecture with replaceable internal components.
  • Has text to speech conversion was established on the basis of the Festival Lite speech synthesis system.

10. ClearML

Last of the list of Top 10 Best Open Source Artificial Intelligence (AI) Software Tools is ClearML. The recent rebranding of Allegro AI, a provider of open source tools for data scientists and machine learning labs. Along with the rebranding, it also has a free hosted plan to give data scientists the freedom to manage AI/ML experiments. Moreover it orchestrates workloads without investing in additional resources. Additionally, you can use it as an MLOps solution that you can readily implement through two lines of code.

Features of ClearML

  • An ecosystem for experiment management that has zero integration hassles.
  • Provides experiment orchestration inside containers
  • Schedules jobs through priority queues and resource allocation.
  • Remotely allocates computing resources using a single line of command.
  • Capable of running Bayesian hyperparameter optimization without any integration.

This it it. Thank you for reading Top 10 Best Open Source Artificial Intelligence (AI) Software Tools.

Top 10 Best Open Source Artificial Intelligence (AI) Software Tools Conclusion

The technologies listed above can provide a larger developer community for support, regular enhancements for real world scenario. AI altogether with machine learning gives users the functionality and makes the business process a more simple. Moreover, they are suitable tools for strengthening the foundation of the projects that require Artificial Intelligence. Altogether it brings together the global dev community’s intelligence and some of the most cutting edge research labs in the world.

Summing up Artificial Intelligence tools are used in building and developing business intelligent application from the beginning. All thanks to Machine learning and deep learning possibilities.

However finally, it is up to you to choose the appropriate open source technology source for your software development needs. Besides that, you also need to consider the use cases that require a solution and the GUI needed. Do not forget whether the command interface you are using is sufficient. Lastly, keep the underlying language of your code in mind is also essential.

Avatar for Hitesh Jethva
Hitesh Jethva

I am a fan of open source technology and have more than 10 years of experience working with Linux and Open Source technologies. I am one of the Linux technical writers for Cloud Infrastructure Services.

5 1 vote
Article Rating
Notify of
Inline Feedbacks
View all comments
Would love your thoughts, please comment.x