Best Artificial Intelligence Software for Linux - Page 10
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Compare the Top Artificial Intelligence Software for Linux as of December 2025 - Page 10
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1
Apache PredictionIO
Apache
Apache PredictionIO® is an open-source machine learning server built on top of a state-of-the-art open-source stack for developers and data scientists to create predictive engines for any machine learning task. It lets you quickly build and deploy an engine as a web service on production with customizable templates. Respond to dynamic queries in real-time once deployed as a web service, evaluate and tune multiple engine variants systematically, and unify data from multiple platforms in batch or in real-time for comprehensive predictive analytics. Speed up machine learning modeling with systematic processes and pre-built evaluation measures, support machine learning and data processing libraries such as Spark MLLib and OpenNLP. Implement your own machine learning models and seamlessly incorporate them into your engine. Simplify data infrastructure management. Apache PredictionIO® can be installed as a full machine learning stack, bundled with Apache Spark, MLlib, HBase, Akka HTTP, etc.Starting Price: Free -
2
Safurai
Safurai
Safurai is an AI-based IDE extension designed to assist developers by speeding up coding, debugging, refactoring, documentation and many more tasks. It acts as a virtual assistant, providing solutions and suggestions for any issues that may arise during the software development process. With Safurai, developers can improve their workflow and code quality, making the development process more efficient and streamlined. Safurai AI is made up of a set of non-proprietary Large Language Models optimized for programming and performing all the functions. The models we use are trained with synthetic data only, we do not retain or reuse user codebase data for model improvement purposes. For Safurai, "Transparency" is not only a vogue word. We care a lot about transparency.Starting Price: $0 -
3
UI.Vision RPA
UI.Vision
Easy automation for busy people. The UI Vision free RPA software (formerly Kantu) automates web and desktop apps on Windows, Mac, and Linux. UI.Vision RPA is a free open-source browser extension that can be extended with local apps for desktop UI automation. The UI Vision core is open-source and guarantees enterprise-grade security. Your data never leaves your machine. Join 100,000+ users and automate workflows on your desktop and in the browser. The visual UI testing commands of UI Vision help web designers and developers to verify and validate the layout of websites and canvas elements. UI Vision can read and recognize images and text inside canvas elements, images, and videos. UI Vision can resize the browser's window in order to emulate various resolutions. This is particularly useful to test layouts on different browser resolutions and to validate visually perfect mobile, web, and native apps.Starting Price: Free -
4
Axiom.ai
Axiom.ai
Save time, and use browser bots to automate website actions and repetitive tasks on any website or web app. It's simple to install and free to try, no credit card is required. Once installed, pin Axiom to the Chrome Toolbar, and click on the icon to open and close. Every bot can be customized to your needs. Build as many as you need. Automate actions like clicking and typing on any website. Make your bots run manually, on a schedule, or integrate with Zapier to trigger external events. Automate with Axiom.ai in minutes. The desktop application is optional but is required to allow automation to upload or download files. Any subscription tier can use the desktop application, it's available for Apple, PC, and Linux. At the cloud tier, Zapier can trigger Axiom runs. At any tier, Axiom can send data to Zapier for processing. Any tool that can send or receive webhooks can be configured to work with Axiom, too.Starting Price: $15 -
5
PyAutoGUI
PyAutoGUI
PyAutoGUI lets your Python scripts control the mouse and keyboard to automate interactions with other applications. The API is designed to be simple. PyAutoGUI works on Windows, macOS, and Linux, and runs on Python 2 and 3. Moving the mouse and clicking in the windows of other applications. Sending keystrokes to applications (for example, to fill out forms). Take screenshots, and give an image (for example, of a button or checkbox), and find it on the screen. Locate an application’s window, and move, resize, maximize, minimize, or close it (Windows-only, currently). Display alert and message boxes. The bot watches the game’s application window and searches for images of sushi orders. When it finds one, it clicks the ingredient buttons to make the sushi. It also clicks the phone in the game to order more ingredients as needed. The bot is completely autonomous and can finish all seven days of the game. This is the kind of automation that PyAutoGUI is capable of.Starting Price: Free -
6
RTILA
RTILA
Automate the most complex tasks & processes in your web or intranet apps & release your teams for more productive work. RTILA can help you automate your outreach and conversion channels and run all the validation processes in the background to output for you neat and actionable data sets. A suite of tools & functionalities that allows you to do anything you want with any data you want. Cards are an evolution of bots as they can seamlessly and securely be combined into other automation flows. Automate and collaborate without exposing your credentials. The vault keeps your sensitive data secure. Select and extract data from the most intricate sources in a record time. Format, enrich complement, and correct extracted data on the fly. Give your data a business meaning and a financial value. Robotics Processes Automation (RPA) allows you to save critical human time by delegating repetitive tasks and processes to bots that can interact with your team.Starting Price: $99 one-time payment -
7
Fig
Fig
Easily share shell aliases/functions and help your coworkers save a few keystrokes. Securely sync API keys, ports and other application configurations between developers. Use Fig's autocomplete for your team's internal scripts & CLI tools. Create easy-to-discover shell scripts and sync them across your engineering team. Extend autocomplete with custom suggestions tailored to your team. All cloud features are opt-in and your data is encrypted at rest. For autocomplete, all of your keystrokes are processed locally and never leave your device.Starting Price: $12 per user per month -
8
Lindy
Lindy AI
Lindy is an AI-powered assistant designed to streamline various professional tasks by integrating seamlessly with numerous applications, including Gmail, Zoom, and Twilio. It enables users to automate workflows such as email management, customer support, scheduling, CRM data entry, lead generation, and outreach, thereby enhancing productivity and efficiency. Lindy's user-friendly interface allows for the creation of AI agents in minutes, facilitating the automation of complex processes without the need for coding expertise. Additionally, Lindy offers customizable templates tailored to specific needs, such as medical scribing, where it transforms clinician-patient interactions into accurate, comprehensive notes in real-time. By leveraging Lindy's capabilities, professionals can focus more on critical aspects of their work, confident that routine tasks are handled efficiently.Starting Price: $49.99/month -
9
Refact.ai
Refact AI
Refact.ai is a cutting-edge, open-source AI coding assistant designed to enhance developer productivity through intelligent code completion, real-time code reviews, and personalized support. By integrating with popular IDEs like VS Code, JetBrains, and PyCharm, Refact.ai provides a seamless development experience, offering personalized auto-completion, code refactoring, and AI-driven suggestions based on your unique codebase. With the ability to fine-tune models using company-specific data, Refact.ai optimizes its performance for better accuracy and faster code generation. Whether you're building new features or improving existing code, Refact.ai ensures your development process is more efficient, secure, and aligned with best practices.Starting Price: $0 -
10
Cody
Sourcegraph
Cody, Sourcegraph’s AI code assistant goes beyond individual dev productivity, helping enterprises achieve consistency and quality at scale with AI. Unlike traditional coding assistants, Cody understands the entire codebase, enabling deeper contextual awareness for smarter autocompletions, refactoring, and AI-driven code suggestions. It integrates with IDEs like VS Code, Visual Studio, Eclipse, and JetBrains, providing inline editing and chat without disrupting workflows. Cody also connects with tools like Notion, Linear, and Prometheus to enhance development context. Powered by advanced LLMs like Claude Sonnet 4 and GPT-4o, it optimizes speed and performance based on enterprise needs, and is always adding the latest AI models. Developers report significant efficiency gains, with some saving up to six hours per week and doubling their coding speed.Starting Price: $59 -
11
Jurassic-2
AI21
Announcing the launch of Jurassic-2, the latest generation of AI21 Studio’s foundation models, a game-changer in the field of AI, with top-tier quality and new capabilities. And that's not all, we're also releasing our task-specific APIs, with plug-and-play reading and writing capabilities that outperform competitors. Our focus at AI21 Studio is to help developers and businesses leverage reading and writing AI to build real-world products with tangible value. Today marks two important milestones with the release of Jurassic-2 and Task-Specific APIs, empowering you to bring generative AI to production. Jurassic-2 (or J2, as we like to call it) is the next generation of our foundation models with significant improvements in quality and new capabilities including zero-shot instruction-following, reduced latency, and multi-language support. Task-specific APIs provide developers with industry-leading APIs that perform specialized reading and writing tasks out-of-the-box.Starting Price: $29 per month -
12
Lightly
Lightly
Develop your apps efficiently with Multilingual cloud IDE - Lightly. Create high-quality code in no time with AI-generated code and collaborative development features. Lightly is a powerful cloud IDE that supports multiple programming languages, including Java, Python, C++, HTML, JavaScript. Write, run, and debug code on iPad, anywhere, anytime. The AI-generated code feature helps you quickly generate code. Collaborative development enables easy team collaboration in real-time. Lightly can deploy and host your projects without managing infrastructures. We'll provide project images to efficiently help you deploy on AWS, Azure, GCP, or any other cloud provider. You focus on your creativity and ideas, and let the AI programming assistant do the rest for you!Starting Price: $9 per month -
13
Jeda Ai
Jeda Ai
Unleash the "beast" of productivity with Jeda AI workspace canvas. Collaborate in real-time, create stunning visual content, and boost your business strategy. Say hello to success! Aboard our vessel, we have an AI-powered online whiteboard called Jeda Ai, which helps us synthesize ideas and visualize crucial solutions to problems. Welcome to the future of productivity. This revolutionary tool speeds up creating, analyzing, and visualizing information and content. Unlock the full potential of your business and gain a competitive edge to stay ahead of the competition with Jeda Ai. Evolve the way you serve your audience and boost productivity never seen before. Jeda Ai is a sleek, user-friendly visual AI Workspace with advanced artificial intelligence power. Jeda Ai's intuitive AI technology generates creative, innovative ideas at a breakneck pace. The Jeda Ai will instantly create high-quality visual content to ignite the inspiration for your next brainstorming or productivity session.Starting Price: $10 per month -
14
AutoGPT
AutoGPT
AutoGPT is an experimental open-source application showcasing the capabilities of the GPT-4 language model. This program, driven by GPT-4, chains together LLM "thoughts", to autonomously achieve whatever goal you set. As one of the first examples of GPT-4 running fully autonomously, Auto-GPT pushes the boundaries of what is possible with AI. 🌐 Internet access for searches and information gathering 💾 Long-term and short-term memory management 🧠 GPT-4 instances for text generation 🔗 Access to popular websites and platforms 🗃️ File storage and summarization 🔌 Extensibility with PluginsStarting Price: Free -
15
BabyAGI
BabyAGI
This Python script is an example of an AI-powered task management system. The system uses OpenAI and Chroma to create, prioritize, and execute tasks. The main idea behind this system is that it creates tasks based on the result of previous tasks and a predefined objective. The script then uses OpenAI's natural language processing (NLP) capabilities to create new tasks based on the objective, and Chroma to store and retrieve task results for context. This is a pared-down version of the original Task-Driven Autonomous Agent. The script works by running an infinite loop that does the following steps: 1. Pulls the first task from the task list. 2. Sends the task to the execution agent, which uses OpenAI's API to complete the task based on the context. 3. Enriches the result and stores it in Chroma. 4. Creates new tasks and reprioritizes the task list based on the objective and the result of the previous task.Starting Price: Free -
16
Stable LM
Stability AI
Stable LM: Stability AI Language Models. The release of Stable LM builds on our experience in open-sourcing earlier language models with EleutherAI, a nonprofit research hub. These language models include GPT-J, GPT-NeoX, and the Pythia suite, which were trained on The Pile open-source dataset. Many recent open-source language models continue to build on these efforts, including Cerebras-GPT and Dolly-2. Stable LM is trained on a new experimental dataset built on The Pile, but three times larger with 1.5 trillion tokens of content. We will release details on the dataset in due course. The richness of this dataset gives Stable LM surprisingly high performance in conversational and coding tasks, despite its small size of 3 to 7 billion parameters (by comparison, GPT-3 has 175 billion parameters). Stable LM 3B is a compact language model designed to operate on portable digital devices like handhelds and laptops, and we’re excited about its capabilities and portability.Starting Price: Free -
17
Dolly
Databricks
Dolly is a cheap-to-build LLM that exhibits a surprising degree of the instruction following capabilities exhibited by ChatGPT. Whereas the work from the Alpaca team showed that state-of-the-art models could be coaxed into high quality instruction-following behavior, we find that even years-old open source models with much earlier architectures exhibit striking behaviors when fine tuned on a small corpus of instruction training data. Dolly works by taking an existing open source 6 billion parameter model from EleutherAI and modifying it ever so slightly to elicit instruction following capabilities such as brainstorming and text generation not present in the original model, using data from Alpaca.Starting Price: Free -
18
mT5
Google
Multilingual T5 (mT5) is a massively multilingual pretrained text-to-text transformer model, trained following a similar recipe as T5. This repo can be used to reproduce the experiments in the mT5 paper. mT5 is pretrained on the mC4 corpus, covering 101 languages: Afrikaans, Albanian, Amharic, Arabic, Armenian, Azerbaijani, Basque, Belarusian, Bengali, Bulgarian, Burmese, Catalan, Cebuano, Chichewa, Chinese, Corsican, Czech, Danish, Dutch, English, Esperanto, Estonian, Filipino, Finnish, French, Galician, Georgian, German, Greek, Gujarati, Haitian Creole, Hausa, Hawaiian, Hebrew, Hindi, Hmong, Hungarian, Icelandic, Igbo, Indonesian, Irish, Italian, Japanese, Javanese, Kannada, Kazakh, Khmer, Korean, Kurdish, Kyrgyz, Lao, Latin, Latvian, Lithuanian, Luxembourgish, Macedonian, Malagasy, Malay, Malayalam, Maltese, Maori, Marathi, Mongolian, Nepali, Norwegian, Pashto, Persian, Polish, Portuguese, Punjabi, Romanian, Russian, Samoan, Scottish Gaelic, Serbian, Shona, Sindhi, and more.Starting Price: Free -
19
Cerebras-GPT
Cerebras
State-of-the-art language models are extremely challenging to train; they require huge compute budgets, complex distributed compute techniques and deep ML expertise. As a result, few organizations train large language models (LLMs) from scratch. And increasingly those that have the resources and expertise are not open sourcing the results, marking a significant change from even a few months back. At Cerebras, we believe in fostering open access to the most advanced models. With this in mind, we are proud to announce the release to the open source community of Cerebras-GPT, a family of seven GPT models ranging from 111 million to 13 billion parameters. Trained using the Chinchilla formula, these models provide the highest accuracy for a given compute budget. Cerebras-GPT has faster training times, lower training costs, and consumes less energy than any publicly available model to date.Starting Price: Free -
20
DragGAN
DragGAN
Synthesizing visual content that meets users' needs often requires flexible and precise controllability of the pose, shape, expression, and layout of the generated objects. Existing approaches gain controllability of generative adversarial networks (GANs) via manually annotated training data or a prior 3D model, which often lack flexibility, precision, and generality. In this work, we study a powerful yet much less explored way of controlling GANs, that is, to "drag" any points of the image to precisely reach target points in a user-interactive manner, as shown in Fig.1. To achieve this, we propose DragGAN, which consists of two main components including: 1) a feature-based motion supervision that drives the handle point to move towards the target position, and 2) a new point tracking approach that leverages the discriminative GAN features to keep localizing the position of the handle points. Through DragGAN, anyone can deform an image with precise control over where pixels go.Starting Price: Free -
21
ZenML
ZenML
Simplify your MLOps pipelines. Manage, deploy, and scale on any infrastructure with ZenML. ZenML is completely free and open-source. See the magic with just two simple commands. Set up ZenML in a matter of minutes, and start with all the tools you already use. ZenML standard interfaces ensure that your tools work together seamlessly. Gradually scale up your MLOps stack by switching out components whenever your training or deployment requirements change. Keep up with the latest changes in the MLOps world and easily integrate any new developments. Define simple and clear ML workflows without wasting time on boilerplate tooling or infrastructure code. Write portable ML code and switch from experimentation to production in seconds. Manage all your favorite MLOps tools in one place with ZenML's plug-and-play integrations. Prevent vendor lock-in by writing extensible, tooling-agnostic, and infrastructure-agnostic code.Starting Price: Free -
22
BotCity
BotCity
With the proliferation of user-created Python scripts and AIs outside of IT governance, companies face increasing risks of Shadow IT, such as security breaches, compliance issues, and loss of operational control. BotCity solves this scenario with a centralized governance platform, enterprise orchestration, and real-time visibility into all Python automations, including AI-driven ones. In addition, it enables you to accelerate hyperautomation initiatives with RPA and AI, reduce costs (up to 5x lower than low-code platforms), and run bots flexibly on VMs, containers, and serverless environments, with support for systems such as SAP, Citrix, Windows, and Linux. Free 30-day trial available.Starting Price: 30-day trial -
23
Falcon-40B
Technology Innovation Institute (TII)
Falcon-40B is a 40B parameters causal decoder-only model built by TII and trained on 1,000B tokens of RefinedWeb enhanced with curated corpora. It is made available under the Apache 2.0 license. Why use Falcon-40B? It is the best open-source model currently available. Falcon-40B outperforms LLaMA, StableLM, RedPajama, MPT, etc. See the OpenLLM Leaderboard. It features an architecture optimized for inference, with FlashAttention and multiquery. It is made available under a permissive Apache 2.0 license allowing for commercial use, without any royalties or restrictions. ⚠️ This is a raw, pretrained model, which should be further finetuned for most usecases. If you are looking for a version better suited to taking generic instructions in a chat format, we recommend taking a look at Falcon-40B-Instruct.Starting Price: Free -
24
Falcon-7B
Technology Innovation Institute (TII)
Falcon-7B is a 7B parameters causal decoder-only model built by TII and trained on 1,500B tokens of RefinedWeb enhanced with curated corpora. It is made available under the Apache 2.0 license. Why use Falcon-7B? It outperforms comparable open-source models (e.g., MPT-7B, StableLM, RedPajama etc.), thanks to being trained on 1,500B tokens of RefinedWeb enhanced with curated corpora. See the OpenLLM Leaderboard. It features an architecture optimized for inference, with FlashAttention and multiquery. It is made available under a permissive Apache 2.0 license allowing for commercial use, without any royalties or restrictions.Starting Price: Free -
25
RedPajama
RedPajama
Foundation models such as GPT-4 have driven rapid improvement in AI. However, the most powerful models are closed commercial models or only partially open. RedPajama is a project to create a set of leading, fully open-source models. Today, we are excited to announce the completion of the first step of this project: the reproduction of the LLaMA training dataset of over 1.2 trillion tokens. The most capable foundation models today are closed behind commercial APIs, which limits research, customization, and their use with sensitive data. Fully open-source models hold the promise of removing these limitations, if the open community can close the quality gap between open and closed models. Recently, there has been much progress along this front. In many ways, AI is having its Linux moment. Stable Diffusion showed that open-source can not only rival the quality of commercial offerings like DALL-E but can also lead to incredible creativity from broad participation by communities.Starting Price: Free -
26
Vicuna
lmsys.org
Vicuna-13B is an open-source chatbot trained by fine-tuning LLaMA on user-shared conversations collected from ShareGPT. Preliminary evaluation using GPT-4 as a judge shows Vicuna-13B achieves more than 90%* quality of OpenAI ChatGPT and Google Bard while outperforming other models like LLaMA and Stanford Alpaca in more than 90%* of cases. The cost of training Vicuna-13B is around $300. The code and weights, along with an online demo, are publicly available for non-commercial use.Starting Price: Free -
27
MPT-7B
MosaicML
Introducing MPT-7B, the latest entry in our MosaicML Foundation Series. MPT-7B is a transformer trained from scratch on 1T tokens of text and code. It is open source, available for commercial use, and matches the quality of LLaMA-7B. MPT-7B was trained on the MosaicML platform in 9.5 days with zero human intervention at a cost of ~$200k. Now you can train, finetune, and deploy your own private MPT models, either starting from one of our checkpoints or training from scratch. For inspiration, we are also releasing three finetuned models in addition to the base MPT-7B: MPT-7B-Instruct, MPT-7B-Chat, and MPT-7B-StoryWriter-65k+, the last of which uses a context length of 65k tokens!Starting Price: Free -
28
OpenLLaMA
OpenLLaMA
OpenLLaMA is a permissively licensed open source reproduction of Meta AI’s LLaMA 7B trained on the RedPajama dataset. Our model weights can serve as the drop in replacement of LLaMA 7B in existing implementations. We also provide a smaller 3B variant of LLaMA model.Starting Price: Free -
29
KnowledgeNet.ai
KnowledgeNet.ai
Make the most of your customer relationships with KnowledgeNet.ai! Our intelligent knowledge sharing tool leverages AI to identify and surface relationships you didn't know you had, discover powerful insights related to your customers and prospects, and surface opportunities and warm introductions. Get the most out of every customer interaction today with KnowledgeNet.ai! KnowledgeNet.ai, integrated with your email, reveals the context that creates multi-threaded interactions and wins deals. Your competitive advantage is a complete picture of relevant news and your company’s knowledge, relationships, meetings, and shared files with the contact. KnowledgeNet.ai turns websites into next-level knowledge by cross-referencing their domains with your internal data, revealing strong connections, new context, and relevant interactions.Starting Price: $4.99 per month -
30
GPT4All
Nomic AI
GPT4All is an ecosystem to train and deploy powerful and customized large language models that run locally on consumer-grade CPUs. The goal is simple - be the best instruction-tuned assistant-style language model that any person or enterprise can freely use, distribute and build on. A GPT4All model is a 3GB - 8GB file that you can download and plug into the GPT4All open-source ecosystem software. Nomic AI supports and maintains this software ecosystem to enforce quality and security alongside spearheading the effort to allow any person or enterprise to easily train and deploy their own on-edge large language models. Data is one the most important ingredients to successfully building a powerful, general-purpose large language model. The GPT4All community has built the GPT4All open source data lake as a staging ground for contributing instruction and assistant tuning data for future GPT4All model trains.Starting Price: Free
