Find and compare the best Artificial Intelligence software for Docker in 2025
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Use the comparison tool below to compare the top Artificial Intelligence software for Docker on the market. You can filter results by user reviews, pricing, features, platform, region, support options, integrations, and more.
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Lamini
Lamini
$99 per monthLamini allows enterprises to transform proprietary data into next-generation LLM capabilities by offering a platform that allows in-house software teams the opportunity to upgrade to OpenAI level AI teams, and build within the security provided by their existing infrastructure. Optimised JSON decoding guarantees a structured output. Fine-tuning retrieval-augmented retrieval to improve photographic memory. Improve accuracy and reduce hallucinations. Inferences for large batches can be highly parallelized. Parameter-efficient finetuning for millions of production adapters. Lamini is the sole company that allows enterprise companies to develop and control LLMs safely and quickly from anywhere. It uses the latest research and technologies to create ChatGPT, which was developed from GPT-3. These include, for example, fine-tuning and RLHF. -
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HyperCrawl
HyperCrawl
FreeHyperCrawl, the first web crawler specifically designed for LLM and RAG application development, develops powerful retrieval engine. We wanted to speed up retrieval by reducing the crawl time for domains. We used multiple advanced methods to build a web crawler that is ML-first. It does not wait for each page to load individually (like standing in a grocery store line), but instead requests multiple web pages simultaneously (like placing several online orders at once). It can then move on to other tasks without wasting time. The crawler can handle several tasks at once by setting a high concurrency. This speeds up the process when compared to only handling a few tasks. HyperLLM saves time and resources by reusing the existing connections. Imagine reusing your shopping bag rather than buying a new one each time. -
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LibreChat
LibreChat
FreeLibreChat, a free and open-source AI chat platform, is available for download. This web UI allows for a great deal of customization and supports a wide range of AI providers, services and integrations. All AI conversations can be served in one place, with a familiar interface and innovative enhancements for as many users you need. LibreChat, an AI chat platform, allows you to leverage the capabilities of cutting edge language models from multiple vendors in a single interface. LibreChat's vast customization options, innovative features, and seamless integration with AI services offer an unmatched conversational experience. It brings together the most recent advancements in AI technologies. It acts as a central hub for all AI conversations. It offers a familiar and user-friendly interface, enriched with advanced features, and customization capabilities. LibreChat is a free software that you can use, modify and distribute without any restrictions. -
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BudgetML
ebhy
FreeBudgetML is ideal for practitioners who want to quickly deploy models to an endpoint but don't want to waste time, money and effort figuring out how to do it end-to-end. BudgetML was created because it is difficult to find a way to quickly and inexpensively get a model into production. Cloud functions have limited memory and are expensive at scale. Kubernetes clusters can be overkill for a single model. Deploying from the ground up requires a data scientist to learn too many concepts, such as SSL certificate generation, Docker and REST, Uvicorn/Gunicorn servers, backend servers etc. BudgetML is the answer to this problem. It's supposed to be quick, easy, and developer friendly. It is not intended to be used as a fully-fledged, production-ready setup. It is a way to get a server running as quickly as possible at the lowest cost. -
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Mystic
Mystic
FreeYou can deploy Mystic in your own Azure/AWS/GCP accounts or in our shared GPU cluster. All Mystic features can be accessed directly from your cloud. In just a few steps, you can get the most cost-effective way to run ML inference. Our shared cluster of graphics cards is used by hundreds of users at once. Low cost, but performance may vary depending on GPU availability in real time. We solve the infrastructure problem. A Kubernetes platform fully managed that runs on your own cloud. Open-source Python API and library to simplify your AI workflow. You get a platform that is high-performance to serve your AI models. Mystic will automatically scale GPUs up or down based on the number API calls that your models receive. You can easily view and edit your infrastructure using the Mystic dashboard, APIs, and CLI. -
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PandaETL
PandaETL
FreeUpload PDFs, spreadsheets and other documents. Drag and drop is all you need to start working. Let the platform extract data from your tasks. Review and organize data that you can use in a format that you trust and are familiar with. The platform allows you to extract and organize valuable information from contracts, invoices images, websites or reports. Chat with your files using an intuitive interface. Dialogue with your data and uncover insights in PDFs or spreadsheets. Generate detailed reports quickly. Create summaries and overviews with references in just minutes. Click on each cell to see the source in context. Download files highlighted in batches. Ideal for businesses that want to increase efficiency and reduce costs when dealing with document-intensive operations. Our plug-and play modules allow you to optimize automation for specific industries or request customization. -
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Magier
Magier
$25 per monthOur AI will protect your data no matter what your privacy needs are. Businesses struggle to stay up-to-date with privacy regulations that are constantly changing, risking penalties and losing customer trust. When AI interacts with sensitive information, it is possible that this data could be exposed. This raises concerns about privacy. AI systems can be difficult for organizations to control, resulting in potential misuse. Our platform uses AI technology to identify and protect sensitive data, ensuring that your data is secure. Our platform will help you stay ahead of the latest data privacy regulations, such as GDPR or CCPA. Redact sensitive information automatically in real-time while maintaining data integrity and ensuring seamless interactions. Our privacy solutions can be tailored to meet the unique needs of your business, with flexible options in data protection and redaction. -
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Lunary
Lunary
$20 per monthLunary is a platform for AI developers that helps AI teams to manage, improve and protect chatbots based on Large Language Models (LLM). It includes features like conversation and feedback tracking as well as analytics on costs and performance. There are also debugging tools and a prompt directory to facilitate team collaboration and versioning. Lunary integrates with various LLMs, frameworks, and languages, including OpenAI, LangChain and JavaScript, and offers SDKs in Python and JavaScript. Guardrails to prevent malicious prompts or sensitive data leaks. Deploy Kubernetes/Docker in your VPC. Your team can judge the responses of your LLMs. Learn what languages your users speak. Experiment with LLM models and prompts. Search and filter everything in milliseconds. Receive notifications when agents do not perform as expected. Lunary's core technology is 100% open source. Start in minutes, whether you want to self-host or use the cloud. -
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Chatwoot
Chatwoot
$19 per monthChatwoot, a customer engagement suite, consolidates multiple communication channels such as email, website chat, social media platforms, like Facebook, Twitter and Instagram, and messaging applications, such as WhatsApp and Line into a single dashboard. This integration allows businesses to provide consistent customer experiences across different platforms. The platform includes features such as canned responses to frequently asked questions, keyboard shortcuts that enable quick action execution, and tools for team collaboration, which allow internal discussion via private notes. Automated rules can be set up to automate repetitive tasks. Customizable live chat widgets are available to add to websites in order to match specific brand aesthetics. Chatwoot supports chatbot integration, as well as the embedding custom dashboard applications. This provides a comprehensive solution to managing customer interactions. -
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Defang
Defang
$10 per monthDefang is a platform geared towards developers that simplifies the development, deployment, and debugging of cloud applications. Defang's AI-assisted tools enable developers to quickly transition from an application idea to a deployed one on their preferred cloud provider. The platform supports multiple languages, including Go JavaScript and Python. Developers can start with sample projects, or generate project outlines by using natural language prompts. Defang can build and deploy applications with a single command. It handles configurations for computing and storage, load balancing and networking, logging and security. The Defang Command Line Interface facilitates interaction with the platform. It offers installation options via shellscripts, Homebrew Winget, Nix or direct download. Compose.yaml files allow developers to define services, which Defang uses to deploy applications to cloud. -
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KitchenAI
KitchenAI
$17 per monthKitchenAI is an API framework for developers that simplifies the conversion of AI Jupyter Notebooks to production-ready APIs. It bridges the divide between AI developers and application developers and infrastructure developers. It provides a fully-featured API server with default route, a command line interface for quick setup and an extensible plug-in framework. This design allows users to create multiple AI techniques, test and iterate quickly, and seamlessly build their work. KitchenAI allows AI developers to scale within familiar environments and convert notebooks into robust apps. Application developers can benefit from intuitive tools and SDKs that allow for the integration of AI via simple APIs. This allows for quick testing in order to determine which AI techniques are best suited for their applications. Infrastructure developers can integrate AI tooling. -
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RAGFlow
RAGFlow
FreeRAGFlow is a Retrieval-Augmented Generation engine (RAG), which combines Large Language Models with deep document understanding to enhance information retrieval. It provides a streamlined RAG process that is suitable for businesses at any scale. It allows for accurate question-answering backed up by well-founded citations based on various complex formats of data. The key features are template-based chunking and compatibility with heterogeneous sources of data. -
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TestDriver
TestDriver
$249 per monthTestDriver is a self-driven AI agent that revolutionizes end-to-end web and desktop application testing. TestDriver is a new testing framework that uses AI vision and hardware simulation to simulate real user interaction. It can test any application, and control any operating systems settings. This approach simplifies the setup by eliminating complex selectors. It also reduces maintenance because tests are resilient to code changes and enhances the testing capabilities beyond conventional methods. The AI explores the applications to generate tailored tests, streamlining onboarding and ensuring that critical user flows are verified with minimal effort. The seamless integration into CI/CD allows for continuous, automatic quality checks. This provides confidence in code integrity. The AI adapts to UI updates, eliminating brittle testing and maintaining robustness over time. -
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txtai
NeuML
Freetxtai, an open-source embeddings database, is designed for semantic search and large language model orchestration. It also supports language model workflows. It unifies vector indices (both dense and sparse), graph networks, relational databases and provides a robust foundation to vector search. Users can create autonomous agents, implement retrieval augmented creation processes, and develop multimodal workflows with txtai. The key features include vector searching with SQL support, object-storage integration, topic modeling and graph analysis, as well as multimodal indexing capabilities. It allows the creation of embeddings from various data types including text, audio, images and video. txtai also offers pipelines powered with language models to handle tasks like LLM prompting and question-answering. It can also be used for labeling, transcriptions, translations, and summaries. -
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AllegroGraph
Franz Inc.
AllegroGraph is a revolutionary solution that allows infinite data integration. It uses a patented approach that unifies all data and siloed information into an Entity Event Knowledge Graph solution that supports massive big data analytics. AllegroGraph uses unique federated sharding capabilities to drive 360-degree insights, and enable complex reasoning across a distributed Knowledge Graph. AllegroGraph offers users an integrated version Gruff, a browser-based graph visualization tool that allows you to explore and discover connections within enterprise Knowledge Graphs. Franz's Knowledge Graph Solution offers both technology and services to help build industrial strength Entity Event Knowledge Graphs. It is based on the best-of-class products, tools, knowledge, skills, and experience. -
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Caffe
BAIR
Caffe is a deep-learning framework that focuses on expression, speed and modularity. It was developed by Berkeley AI Research (BAIR), and community contributors. The project was created by Yangqing Jia during his PhD at UC Berkeley. Caffe is available under the BSD 2-Clause License. Check out our web image classification demo! Expressive architecture encourages innovation and application. Configuration is all that is required to define models and optimize them. You can switch between CPU and GPU by setting one flag to train on a GPU, then deploy to commodity clusters of mobile devices. Extensible code fosters active development. Caffe was forked by more than 1,000 developers in its first year. Many significant changes were also made back. These contributors helped to track the state of the art in code and models. Caffe's speed makes it ideal for industry deployment and research experiments. Caffe can process more than 60M images per hour using a single NVIDIA GPU K40. -
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Darktrace
Darktrace
Darktrace Immune System, the world's most trusted autonomous cyber defense platform, is it. Cyber AI, the award-winning Cyber AI, protects your workforce from sophisticated attackers by detecting, investigating, and responding to cyber-threats wherever they occur. Darktrace Immune System, a market-leading cybersecurity technology platform, uses AI to detect sophisticated cyber threats, including insider threat, criminal espionage and ransomware. Darktrace is analogous to the human immune systems. It learns the organization's 'digital DNA' and adapts to changing environments. Self-learning, self healing security is now possible. Ransomware and other machine-speed attacks are too fast for humans to handle. Autonomous Response relieves security personnel of the burden by responding 24/7 to fast-moving threats. AI that responds. -
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SOAtest
Parasoft
PARASOFT SOATEST Artificial Intelligence and Machine Learning Power APIs and Web Service Testing Tools Parasoft SOAtest is based on artificial intelligence (AI), machine learning (ML), and simplifies functional testing across APIs and UIs. The API and web service testing tool is perfect for Agile DevOps environments because it uses continuous quality monitoring systems to monitor the quality of change management systems. Parasoft SOAtest is a fully integrated API and web-service testing tool that automates end-to-end functional API test automation. Automated testing is simplified with advanced functional test-creation capabilities. This applies to applications with multiple interfaces (REST and SOAP APIs as well as microservices, databases, etc.). These tools reduce security breaches and performance issues by turning functional testing artifacts in security and load equivalents. This allows for faster and more efficient testing, while also allowing continuous monitoring of API changes. -
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Polyaxon
Polyaxon
A platform for machine learning and deep learning applications that is reproducible and scaleable. Learn more about the products and features that make up today's most innovative platform to manage data science workflows. Polyaxon offers an interactive workspace that includes notebooks, tensorboards and visualizations. You can collaborate with your team and share and compare results. Reproducible results are possible with the built-in version control system for code and experiments. Polyaxon can be deployed on-premises, in the cloud, or in hybrid environments. This includes single laptops, container management platforms, and Kubernetes. You can spin up or down, add nodes, increase storage, and add more GPUs. -
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MLReef
MLReef
MLReef allows domain experts and data scientists secure collaboration via a hybrid approach of pro-code and no-code development. Distributed workloads lead to a 75% increase in productivity. This allows teams to complete more ML project faster. Domain experts and data scientists can collaborate on the same platform, reducing communication ping-pong to 100%. MLReef works at your location and enables you to ensure 100% reproducibility and continuity. You can rebuild all work at any moment. To create interoperable, versioned, explorable AI modules, you can use git repositories that are already well-known. Your data scientists can create AI modules that you can drag and drop. These modules can be modified by parameters, ported, interoperable and explorable within your organization. Data handling requires a lot of expertise that even a single data scientist may not have. MLReef allows your field experts to assist you with data processing tasks, reducing complexity. -
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Label Studio
Label Studio
The most flexible data annotation software. Quickly installable. Create custom UIs, or use pre-built labeling template. Layouts and templates that can be customized to fit your dataset and workflow. Detect objects in images. Supported are boxes, polygons and key points. Partition an image into multiple segments. Use ML models to optimize and pre-label the process. Webhooks, Python SDK and API allow you authenticate, create tasks, import projects, manage model predictions and more. ML backend integration allows you to save time by using predictions as a tool for your labeling process. Connect to cloud object storage directly and label data there with S3 and GCP. Data Manager allows you to manage and prepare your datasets using advanced filters. Support multiple projects, use-cases, and data types on one platform. You can preview the labeling interface as you type in the configuration. You can see live serialization updates at the bottom of the page. -
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Zerve AI
Zerve AI
With a fully automated cloud infrastructure, experts can explore data and write stable codes at the same time. Zerve’s data science environment gives data scientists and ML teams a unified workspace to explore, collaborate and build data science & AI project like never before. Zerve provides true language interoperability. Users can use Python, R SQL or Markdown in the same canvas and connect these code blocks. Zerve offers unlimited parallelization, allowing for code blocks and containers to run in parallel at any stage of development. Analysis artifacts can be automatically serialized, stored and preserved. This allows you to change a step without having to rerun previous steps. Selecting compute resources and memory in a fine-grained manner for complex data transformation. -
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Shakker
Shakker
Shakker allows you to turn your imagination into a picture in just seconds. Shakker makes AI image generation easy. Shakker's prompt suggestions and precise designs make it easier than ever to create images, change style, combine components, paint any parts or combine components. Shakker is a revolutionary tool for image creation. You can upload a reference image and it will recommend styles from a vast library of images. It makes it easy to create the perfect image. Shakker also offers advanced editing features like segmentation, quick-selection, and lasso to precisely inpaint. Shakker.AI is based on AI algorithms that analyze input to generate images. It interprets the user's commands or prompts and produces images that are in line with specified styles and topics. The underlying technology seamlessly combines AI's computational strength with artistic creativity to deliver both unique and high quality outputs. -
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SciPhi
SciPhi
$249 per monthBuild your RAG system intuitively with fewer abstractions than solutions like LangChain. You can choose from a variety of hosted and remote providers, including vector databases, datasets and Large Language Models. SciPhi allows you to version control and deploy your system from anywhere using Git. SciPhi's platform is used to manage and deploy an embedded semantic search engine that has over 1 billion passages. The team at SciPhi can help you embed and index your initial dataset into a vector database. The vector database will be integrated into your SciPhi workspace along with your chosen LLM provider. -
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AlxBlock
AlxBlock
$50 per monthAIxBlock is an end-to-end blockchain-based platform for AI that harnesses unused computing resources of BTC miners, as well as all global consumer GPUs. Our platform's training method is a hybrid machine learning approach that allows simultaneous training on multiple nodes. We use the DeepSpeed-TED method, a three-dimensional hybrid parallel algorithm which integrates data, tensor and expert parallelism. This allows for the training of Mixture of Experts models (MoE) on base models that are 4 to 8x larger than the current state of the art. The platform will identify and add compatible computing resources from the computing marketplace to the existing cluster of training nodes, and distribute the ML model for unlimited computations. This process unfolds dynamically and automatically, culminating in decentralized supercomputers which facilitate AI success.